S Y L A B U S - Uniwersytet Szczeciński

S Y L A B U S

algebra liniowa (linear algebra)(PODSTAWOWE)

Nazwa przedmiotu: Kod przedmiotu:US71AIJ2857_14S

Nazwa kierunku:

Profil kształcenia:Forma studiów:

Economics and IT Applications

Specjalność:ogólnoakademickiI stopnia lic., stacjonarne

obowiązkowy semestr: 2 - język angielski (100%)Status przedmiotu: Język przedmiotu:Rok: Semestr:

1 2

Koordynatorprzedmiotu:

dr MAŁGORZATA GUZOWSKA

EFEKTY UCZENIA SIĘ

Odniesienie doefektów dlaprogramu

Lp Opis efektuKODKategoria

wiedza

Student knows definitions and the elementary properties of linearspace K_W05EP11

Student knows the elementary properties of the real matrixes as wellas can recognize and interpret the procedures of solving any systemof linear equations

K_W05EP22

Student knows terms and methods related to square forms,eigenvectors and eigenvalues K_W05EP33

umiejętności

Student can use vector and matrices calculus and can apply them tosolving the systems of linear equations and simple economicproblems

K_U05EP41

Student can examine the properties of quadratic and determineeigenvectors and eigenvalues K_U05EP52

Student can easily communicate in English in an international groupof people in order to carry outmathematical or business tasks

K_U05K_U16EP63

kompetencje społeczne

Student is ready to critically assess his knowledge of mathematicaltools and to supplement and deepen his knowledge as well as to usehis knowledge and expert knowledge to solve socio-economicproblems.

K_K02EP71

Liczba godzinTREŚCI PROGRAMOWE Semestr

Przedmiot: algebra liniowa (linear algebra)

Forma zajęć: wykład

21. Basic algebraic structures 2

22. Vector spaces: linear combination and linear independence of vector, bases and dimension for vectorspaces. 2

23. Algebraic operations on matrices and their properties 2

24. Determinants. Laplace's expansion. Trace and rank of a matrix. 2

25. Inverse of matrices. Matrices equation. 2

26. System of linear equations and it solutions. 2

37. Linear and quadratic forms. Canonical form of a square form. Classification of quadratic forms,Sylvester s law, positive define (negative define) quadratic form. Eigenvalues and eigenvectors and theirapplication in economics.

2

Forma zajęć: ćwiczenia

31. Vector spaces: linear combination and linear independence of vector, bases and dimension for vectorspaces 2

32. Algebraic operations on matrices: matrix addition, scalar multiplication, transpose and matrixmultiplication. 2

1/2

23. Determinants. Laplace expansion. Properties of the determinant 2

44. Inverse of matrices. Matrices equation. 2

65. Systems of linear equations and methods of solving them (Gaussian elimination, Cramer method,Kronecker - Capelli theorem) 2

46. Systems of linear inequalities 2

47. Linear and quadratic forms. Canonical form of a square form. Classification of quadratic forms,Sylvester s law. Eigenvalues and eigenvectors. 2

48. Application of linear algebra in economics. 2

Lectures with slides shows. Exercises - problem solvingMetody uczenia się

ŁĄCZNY nakład pracy studenta w godz. 100

Liczba punktów ECTS 4

Nr efektu uczenia sięz sylabusa

EP1,EP2,EP3EGZAMIN PISEMNY

EP4,EP5,EP6,EP7KOLOKWIUM

Metody weryfikacjiefektów uczenia się

Forma i warunki zaliczenia

Credits are given to students who have learned the following skills, by:5 short one-question (exercise) tests with passing score of 5 -10 points;1 final test (5 exercises, 10 points each).Total passing score: minimum 25 points under the condition of all the short tests being passed;The examination form and requirements:The final examination tests if a student has achieved all the projected learning outcomes concerningknowledge. It consists of 10 questions. The passing score is 60%.

Zasady wyliczania oceny z przedmiotu

The final grade is calculated as a weighted averge of partial and final tests.

2 algebra liniowa (linear algebra) Arytmetyczna

2 algebra liniowa (linear algebra) [ćwiczenia]zaliczenie zoceną

2 algebra liniowa (linear algebra) [wykład] egzamin

Metoda obliczania ocenykońcowej

Sem. PrzedmiotRodzajzaliczenia

Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

analiza ekonomiczna w przedsiębiorstwie (economic analysis in enterprise)(PODSTAWOWE)


Nazwa kierunku:





2 3


dr MIRELA ROMANOWSKA

EFEKTY UCZENIA SIĘ



wiedza

Student has an understanding of the basic information content offinancial statements and reports K_W07EP11

Student has an understanding of the basic construction rules ofevaluation measures phenomena that characterize the company K_W07EP22

umiejętności

Student has the ability to use of basic theoretical knowledge todescribe and analyze specific phenomena and processes takingplace in the enterprise

K_U07EP41

Student has the ability to the use of appropriate methods to evaluatethe effects K_U13EP52

kompetencje społeczneStudent has the ability to make decisions and to take anyresponsibility for them K_K04EP81


Przedmiot: analiza ekonomiczna w przedsiębiorstwie (economic analysis in enterprise)


21. The nature and role of analysis in business management. 3

22. Criteria for the classification of economic analysis methods and their usefulness in the current marketconditions. 3

13. Characteristics of sources of information for economic analysis. 3

24. A preliminary assessment of the situation of the assets. 3

15. A preliminary assessment of the situation of the capital. 3

26. Evaluation of short-term and long-term static liquidity. 3

27. Cash conversion cycle. 3

18. The nature and assessment of net working capital. 3

29. Concept and measurement of profitability. 3


11. Reading the basic financial statements of the selected companies. 3

22. Methods of economic analysis: logarithm and subsequent substitutions - tasks with two or threefactors. 3

23. A preliminary assessment of the situation the investigated companys assets. 3

24. A preliminary assessment of the situation the investigated companys capital. 3

25. Study of short-term and long-term financial static liquidity of company X. 3

1/2

26. Establishing and interpretation of the cash conversion cycle (operating, net). 3

27. Evaluation of net working capital in the company X. Identifying and interpretation of the cashconversion cycle (operating, net). 3

28. Assessment of the company's profitability. 3

Lectures, case study, exercisesMetody uczenia się





EP5,EP8KOLOKWIUM



Examination in writing form, including the question of theoretical and empirical task viewing knowledge of methodsand ability to interpret the results. The final grade is affected by the activity in the classroom. The course ends with awritten exam. Test tests the achievements in the field of knowledge (theoretical questions) and student skill (practicaltasks together with an interpretation).


The final grade is a weighted mean: 40% test score and 60% written exam score.

3analiza ekonomiczna w przedsiębiorstwie (economic analysis inenterprise)

Ważona

3analiza ekonomiczna w przedsiębiorstwie (economic analysis inenterprise) [ćwiczenia]

zaliczenie zoceną

0,40

3analiza ekonomiczna w przedsiębiorstwie (economic analysis inenterprise) [wykład]

egzamin 0,60



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Inżynieria informatyczna biznesu (IT engineering in business) [moduł]

analiza i projektowanie systemów informacyjnych (IS analysis and design)(KIERUNKOWE)


Nazwa kierunku:




fakultatywny semestr: 4 - język angielski (100%)Status przedmiotu: Język przedmiotu:Rok: Semestr:

2 4


dr KAROLINA MUSZYŃSKA

EFEKTY UCZENIA SIĘ



wiedza

Student knows and understands the concepts of informationsystems analysis and design K_W08EP11

Student is familiar with the methods of information systems analysisand design and knows how to capture and define requirements K_W13EP22

Student is familiar with IT tools supporting the analysis and designof information systems K_W08EP33

umiejętności

Student can use the theoretical knowledge to analyze an exemplaryinformation system, to model selected functions and informationstructures, using appropriate methods and tools

K_U08K_U12EP41

Student can use the acquired methods and IT tools to design theuser's interface for an exemplary system

K_U08K_U12EP52

Student can easily communicate in English in an international groupof people in order to carry out business tasks and projects. K_U16

K_U18EP63

kompetencje społeczneStudent is ready to supplement their knowledge and use it to solveissues regarding development of information systems inorganizations

K_K02EP71


Przedmiot: analiza i projektowanie systemów informacyjnych (IS analysis and design)


21. Introduction to the analysis and design of information systems (concepts, methods, tools) 4

22. Methods of gathering, defining and documenting system requirements; modeling the functions anddynamics of the system - use case diagrams 4

23. Modeling the information structures - class/object diagrams 4

24. Modeling the functions and dynamics of the system - activity and sequence diagrams 4

25. Designing the database and physical structure of the system - generating physical data model fromclass diagram 4

26. Types and principles of designing system user interface 4

37. Alternative approaches do system analysis and design 4

Forma zajęć: laboratorium

21. Definition of the design task (characteristics of the organization, organizational structure, problemsthat require informatization and system goals) 4

1/2

22. Identification and description of users' requirements, functional structure and system users 4

43. Modeling the functions - use case diagrams 4

44. Modeling the information structures - class diagram 4

45. Modeling the dynamics of the system - activity diagrams 4

46. Interaction diagrams - sequence diagrams 4

27. Design of database and physical structure of the system 4

48. Design of windows form user's interface 4

49. Design of web form user's interface 4

multimedia presentations, teamwork, case study, lecture based on multimedia presentationsMetody uczenia się




EP1,EP2,EP3KOLOKWIUM

EP4,EP5,EP6,EP7PROJEKT



Written test verifies the achievement of learning outcomes in terms of knowledge regarding information systemsanalysis and design, as well as methods and tools supporting this areaProject verifies the achievement of learning outcomes on practical skills and teamwork. Projects focus on performinganalysis and design for a sample system using the known tools /diagrams.


The final grade of the course is a weighted average of the two grades - from the written test (30%) and the project(70%). The pass is granted only in case of positive assessment of both the written test and the project.

4analiza i projektowanie systemów informacyjnych (IS analysisand design)

Ważona

4analiza i projektowanie systemów informacyjnych (IS analysisand design) [wykład]

zaliczenie zoceną

0,30

4analiza i projektowanie systemów informacyjnych (IS analysisand design) [laboratorium]

zaliczenie zoceną

0,70



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

analiza matematyczna (mathematical analysis)(PODSTAWOWE)


Nazwa kierunku:





1 1


dr BARBARA BATÓG

EFEKTY UCZENIA SIĘ



wiedza

student is able to explain the concept of limits, continuity,monotonicity, extrema, convexity, curvature, inflection points andasymptotes for single variable function

K_W05EP11

student is able to explain the concept of indefinite and definiteintegral for single variable function K_W05EP22

student knows necessary and sufficient conditions of existing ofextrema of many variable functions K_W05EP33

umiejętności

student is able to analyze the properties of single variable functionsby means of derivatives; student computes elasticities and marginalvalues

K_U05EP41

student is able to use integration by substitution and by parts incomputing basic types of indefinite and definite integrals K_U05EP52

student is able to compute local extrema of many variable functions K_U05EP63

kompetencje społecznestudent is ready to apply mathematical analysis in economicproblems K_K02EP71


Przedmiot: analiza matematyczna (mathematical analysis)


21. Cartesian product. Definition and properties of functions: injection, surjection, bijection, monotonicity,inverse functions, cyclometric functions, function composition. Elementary functions. Examples ofcountable and uncountable sets

1

22. Metric space. Neighborhood and punctured neighborhood, open and closed set, bounded set. Limitsof the sequences, convergent and divergent sequences, Euler's number e, indeterminate forms 1

13. Definition and properties of limits and continuity 1

24. Difference quotient, definition and properties of derivative of single variable function, properties ofdifferentiable function, derivatives of elementary functions; rules for finding the derivatives, differential,higher-order derivatives. Derivatives in geometry and economics

1

45. Lagrange's and Rolle's theorems. Application of derivatives to analyze single variable functions:necessary and sufficient conditions of existing of local and global extrema, monotonicity, inflectionpoints, curvature. L'Hôpital's rule. Asymptotes.

1

16. Indefinite integrals, integration by substitution and by parts 1

27. Riemann definite integral, fundamental theorem of integral calculus. Improper integrals. Relationshipbetween definite integral and area. 1

18. Differentiability, partial derivatives and local extrema of many variable functions 1


41. Cartesian product. Definition and properties of functions: injection, surjection, bijection, monotonicity,inverse functions, cyclometric functions, function composition. Elementary functions 1

22. Limits of the sequences, convergent and divergent sequences, Euler's number e, indeterminate forms.

1

1/2

23. Limits and continuity of functions 1

44. Computing the derivatives of single variable functions 1

65. Application of derivatives to analyze single variable functions: necessary and sufficient conditions ofexisting of local and global extrema, monotonicity, inflection points, curvature. L'Hôpital's rule.Asymptotes

1

46. Computing basic types of indefinite integrals by means of integrating by substitution and by parts 1

47. Computing basic types of definite integrals. Area of figures 1

48. Partial derivatives and local extrema of many variable functions 1

Lecture, exercises in groupsMetody uczenia się




EP1,EP2,EP3,EP4,EP5,EP6,EP7EGZAMIN PISEMNY




Partial exam:Partial exam checks education effects in the range of skills (2 colloquia max. 5 problems).Exam:Exam checks education effects in the range of knowledge (max. 5 problems) and skills (max. 5 problems).


The final grade is calculated as a average of partial and final exams grades.

1 analiza matematyczna (mathematical analysis) Arytmetyczna

1 analiza matematyczna (mathematical analysis) [ćwiczenia]zaliczenie zoceną

1 analiza matematyczna (mathematical analysis) [wykład] egzamin



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

analiza pozycji rynkowej przedsiębiorstw (analysis of enterprises' market position)(PODSTAWOWE)


Nazwa kierunku:





1 2


prof. dr hab. IGA RUDAWSKA

EFEKTY UCZENIA SIĘ



wiedza

Student has a basic knowledge about purposes, specifics andstructure of market position analysis of an enterprise K_W01EP11

Student knows principles of methods and tools of market positionanalysis of an enterprise K_W05EP22

umiejętności

Student can give the proper solutions to typical problemsencountered in analysis of market position of an enterprise K_U05EP31

Student can apply basic methods and tools of market positionanalysis K_U04EP42


Student is ready to take part in preparing projects regarding analysisof market position K_K01EP51

Student is ready to formulate opinions and views referring differentaspects of analysis of market position in entrepreneurship K_K04EP62


Przedmiot: analiza pozycji rynkowej przedsiębiorstw (analysis of enterprises' market position)


11. Domain of market position analysis in enterprise 2

22. Levels and basic elements of market position analysis of enterprise 2

33. External analysis of a company 2

34. Sectoral analysis 2

25. Resources and capabilities in enterprise 2

26. Competitive advantage and the scope of a company 2

27. Implications of the internalization of market position analysis of enterprise 2


11. Exercise on the domain of market position analysis of enterprise 2

12. Exercise on the levels and elements of market position analysis of enterprise 2

23. Designing external analysis of a company 2

24. Designing sectoral analysis 2

25. Exercise on the resources and capabilities of a company 2

26. Exercise on the competitive advantage 2

1/2

27. Exercise on the implications of the internalization of market position analysis 2

38. Concluding exercise on applying market position analysis of enterprise 2

PPT presentation, case studies, discussion based on papers, team workMetody uczenia się





EP3,EP4,EP5PROJEKT



The final grade of the course will be calculated on the basis of two assignments worth:-50% colloquium (60% points) - open questions-50% poster prepared within groupsThe condition for passing the exercises is getting a positive grade for a poster.The condition for passing the lectures is getting a positive mark in the test.


The final grade from the course is equal to the arithmetic mean of grades from the exercises and the lecture.

2analiza pozycji rynkowej przedsiębiorstw (analysis of enterprises'market position)

Arytmetyczna

2analiza pozycji rynkowej przedsiębiorstw (analysis of enterprises'market position) [ćwiczenia]

zaliczenie zoceną

2analiza pozycji rynkowej przedsiębiorstw (analysis of enterprises'market position) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

bankowość (banking)(PODSTAWOWE)

Nazwa przedmiotu: Kod przedmiotu:US71AIWNEiZ_16S

Nazwa kierunku:





1 2


dr DOROTA SKAŁA

EFEKTY UCZENIA SIĘ



wiedza

Student defines and describes the rules and featuresregarding bank activities. K_W02EP11

The student describes the role of banking system in the economyand its effect on financial stability. K_W02EP22

The student has knowledge of the banking system structure and theeffects of its evolution. K_W02EP33

umiejętności

The student is able to identify factors shaping the financial situationand market position of banks.

K_U02K_U17EP41

The student is able to analyse basic elements influencing the risk-profitability relation in a bank. K_U02EP52


The student is prepared to clearly present strenghts and weaknessesof individual banks.

K_K01K_K04EP61

The student is interested in further studies and analyses regardingbank activities. K_K04EP72

The student is prepared to act as an active member of a team,analysing the basic characteristics of chosen banks

K_K01K_K04EP83


Przedmiot: bankowość (banking)


31. The structure and changes within the modern banking system. Ownership changes. Regulatoryframework. The role and types of banks. The role of banking systems in modern economies. 2

22. The banking system and the financial safety net. Banking supervision and deposit insurance systems.Moral hazard problems. 2

23. Central banks. Monetary policy; tools and contemporary challenges; monetary transmissionmecanism. 2

44. Assets and liabilities management in banking. Bank risk - credit risk, liquidity risk, market risk andoperational risk. 2

25. Bank capital, capital adequacy, Basle I, II and III agreements. 2

26. Securitisation of bank assets, MBS, ABS and Pfandbriefe. Toxic assets. The roots and implications offinancial crises and financial crisis of 2007-2009. 2


21. The analysis of changes in the modern banking systems. Privatisation, nationalisation andshareholder structure, private versus public banks - discussion. 2

42. Bank balance sheet and income statement analysis 2

23. Main elements of the asset and liability transactions and intermediation functions of commercialbanks, banking activities within the regulatory framework. 2

24. Bank risk - credit risk (case study). 2

25. Market risk and capital adequacy: problem solving, calculations. 2

1/2

26. Student presentations - analysis of chosen banks, in the context of their shareholder structure, size,market position, profitability and risk. 2

17. Written test. 2

Powerpoint presentations, text analysis and discussion, team projects (student presenations)Metody uczenia się





EP4,EP5,EP6,EP7,EP8PREZENTACJA



Final exam: Written test, in the form of a multiple choice test (80% points), with 2-4 additional short questions (20%points). Exam grading: 50% pass, 75% grade 4.0. Student presentations: group projects (3-4 students), oralpresentations of chosen banks during the final class.


The final grade will be calculated as a weighted mean of the written test grade (70%) and project/presentation grade(30%).

2 bankowość (banking) Ważona

2 bankowość (banking) [wykład]zaliczenie zoceną

0,70

2 bankowość (banking) [ćwiczenia]zaliczenie zoceną

0,30



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

bazy danych na potrzeby ekonomii (databases in economic applications)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr AGATA WAWRZYNIAK

EFEKTY UCZENIA SIĘ



wiedza

Student has knowledge concerning functioning and construction ofdatabases. K_W13EP11

Student mastered the knowledge in the scope of: database design,data structure, database normalization. K_W13EP22

Student knows the Structured Query Language (SQL) basic conceptsand principles. K_W13EP33

umiejętności

Student demonstrates the ability to practical use of the database ineconomic applications. K_U12EP41

Student can independently design the structure of relationaldatabase model. K_U12EP52

Student implements physical database model in MS SQL Server. K_U12EP63

Student is able to generate queries in SQL, create forms and reports. K_U12EP74

kompetencje społeczneStudent is ready to participate in the preparation of projects in ateam K_K01EP81


Przedmiot: bazy danych na potrzeby ekonomii (databases in economic applications)


21. An introduction to databases . Applications of databases in economics and business 5

22. Database Analysis 5

23. Database design - Entity Relationship Diagram. Database normalization and normal forms (1NF - 6NF)

5

24. Database language - SQL. Types of commands, types of data, functions, group functions 5

25. SQL - defining data 5

36. SQL - data manipulation (select, insert, update, delete) 5

27. Database transactions. Data security (access and protection) 5


21. The Database Environment and Development Process 5

22. Modeling Data in the Organization 5

23. Logical Database Design and Relational Model 5

14. MS SQL Server - database management (new database, create table, create index) 5

1/2

35. MS SQL Server - SELECT statement with clauses: where, order by, asc, desc, and, or, between, like,top 5

26. MS SQL Server - join clauses in SQL: inner join, right outer join, left outer join, full outer join, crossjoin 5

27. MS SQL Server - SQL aggregation, group by clause, having clause, subqueries, create view statement,procedures 5

18. Laboratory examination - practical test 5

Computer laboratory, Lecture illustrated by multimedia presentationsMetody uczenia się





EP4,EP5,EP6,EP7SPRAWDZIAN

EP4,EP5,EP6,EP7,EP8ZAJĘCIA PRAKTYCZNE (WERYFIKACJA POPRZEZ OBSERWACJĘ)



Laboratory examination: points for tasks getting during laboratories (40%) and practical test (60%).Exam: 5 theoretical questions (min. 60% to pass).Student passes the course when knows basic concepts from the scope of database design principles and is able toperform basic operations in the chosen database management system (based on SQL).


The final grade is an average of the grades received from the laboratory examination and the exam.

5bazy danych na potrzeby ekonomii (databases in economicapplications)

Arytmetyczna

5bazy danych na potrzeby ekonomii (databases in economicapplications) [laboratorium]

zaliczenie zoceną

5bazy danych na potrzeby ekonomii (databases in economicapplications) [wykład]

egzamin



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Technologie internetowe w biznesie (IT in business) [moduł]

e-biznes (e-business)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr MICHAŁ NOWAKOWSKI

EFEKTY UCZENIA SIĘ



wiedzaStudent knows the general principles of the creation anddevelopment of individual entrepreneurship.

K_W08K_W14K_W15

EP11

umiejętnościStudent can use the theoretical knowledge and gain data to analyzeeconomic phenomena in the sphere of public entities and private.

K_U04K_U08K_U15K_U17

EP21

kompetencje społeczneStudent is ready to prepare, participate and conduct various projectsand business activities, including legal and economic aspects, andfor the public interest.

K_K01K_K02K_K04K_K05

EP31


Przedmiot: e-biznes (e-business)


21. Influence of the Internet on business processes in the enterprise. 5

22. Digital product and digital service. 5

23. Models and techniques of e-business. 5

24. Internet infrastructure of e-business. 5

25. Payment methods in dealing with customers. 5

26. Security of information infrastructure within the company. 5

27. Fundamentals of legal, tax and accounting in e-business. 5

18. Passing the lecture part of the subject. 5


21. The choice of activity - the subject of the project and topics discussion. 5

22. The basic description of the planned e-services, a description of how to conduct e-business,eservices, functional description of service - with the emphasis on innovation (product, process,marketing, organizational).

5

23. Characteristics of the market (the target market, the size of the market, customers, competitors,suppliers, sales forecast). 5

24. Competition in the environment, the impact diagnosis on the company. Web sites competing for yourbusiness - case studies. 5

1/2

25. Security of company, aspects of informatics and insurance. 5

26. Methods of advertising (traditional and electronic media) - the example of a selected business. 5

27. Profitable variants of a business, the final balance sheet of the company (project summary). 5

18. Presentations of the projects. 5

Elaboration of the project, group work, multimedia presentation, case studies, lectures using multimediapresentation.Metody uczenia się




EP1,EP2SPRAWDZIAN

EP1,EP2,EP3PROJEKT



Examination of laboratories in the subject.Positive examination of the laboratories depends on the following factors: minimum of 60% attendance in theclassroom teaching, execution of a written project containing guidelines according to the present outline and thepresentation of the project at a public appearance in the class.Examination of exam in the subject.Positive examination of the exam depends on the approval by written exam - for subjects ending with an exam andthe subjects of endless examination. The overall exam rate is the same as the rating obtained from the written form ofthe exam carried out during lectures. The scope of the examination of the material depends on lectures deliveredcurriculum content.Knowledge and skills of sufficient rate.The knowledge of sufficient rate: basic knowledge of tools, basic knowledge of multimedia technologies, knowledgeof methods and tools for data collection, knowledge structures, social institutions and processes within them. Theskills of sufficient rate: basic communication skills in speaking and writing in a foreign language (e.g. English), theability to prepare written work typical of Polish and foreign, the ability to analyze and design specific processes andsocial phenomena, the ability to use appropriate methods, techniques and tools for your organization.


The final grade of the course is calculated as the arithmetic average of the following factors: the average of the marksobtained in the laboratory, the evaluation of the written project and presentation, assessment of written exam(optional).

5 e-biznes (e-business) Arytmetyczna

5 e-biznes (e-business) [wykład]zaliczenie zoceną

5 e-biznes (e-business) [laboratorium]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

ekonometria (econometrics)(KIERUNKOWE)


Nazwa kierunku:





2 3


dr hab. JACEK BATÓG

EFEKTY UCZENIA SIĘ



wiedza

Student knows specificity and structure of econometric model aswell as stages of modeling of dynamics and interdependency K_W05

K_W10EP11

Student understand of theoretical foundations of estimation andverification of linear econometric model as well as basic issues fromeconometric forecasting

K_W05K_W10EP22

umiejętności

Student can construct econometric models of dynamics andinterdependency and interpret obtained results

K_U06K_U10EP31

Student can compute forecasts of economic phenomena usingsimple econometric models of time series and assess their quality K_U06

K_U10EP42

Student can use functions of Excel spreadsheet related to estimationand verification of linear econometric models

K_U06K_U10K_U15

EP53

kompetencje społecznedocenia znaczenie pracy zespołowej oraz samodzielnegoposzerzania posiadanej wiedzy

K_K01K_K02EP61


Przedmiot: ekonometria (econometrics)


21. Definition and subject of econometrics. Types of statistical regularities. Econometric model 3

22. Stages of econometric modelling 3

33. Estimation of structural parameters of econometric models - OLS 3

34. Verification of econometric models. Chosen challenges of building of econometric models 3

35. Nonlinear models - building and applications 3

26. Econometric forecasting - introduction 3


21. Specification of independent variables 3

12. Selection of analytical form of econometric models 3

63. Estimation and verification of linear econometric models 3

34. Nonlinear models in analysis of economic phenomena 3

35. Econometric forecasting 3

1/2


21. Examples of specification of independent variables 3

12. Examples of selection of analytical form of econometric models 3

73. Examples of estimation and verification of linear econometric models 3

24. Exploitation of nonlinear models in analysis of economic phenomena 3

25. Examples of econometric forecasting 3

16. Project presentation and discussion 3

Lectures with use of multimedia presentations. Solving problems by means of Excel spreadsheet and chosenstatistical programme. Team work oriented on project preparationMetody uczenia się




EP1,EP2EGZAMIN USTNY





Form and requirements of exercise and laboratory credit:- students are assessed by means of test (3 assignments) and the group project, which verify achievement ofeducational effects of skills (during the test students are allowed to use statistical tables and self-prepared formulas),- a lecture mark is identical with an exam mark.Form and requirements of exam:- students are assessed by means of oral exam (2 questions) which allows to verify of achievement of educationaleffects of knowledge (after drawing of questions students have some minutes to prepare their answers).


Final grade of the course:- student can be granted a satisfactory credit when he is able at least to discuss problems related to statisticalregularities, formulation of model hypothesis, estimation of structural parameters and verification of econometricmodels, as well as solve assignments related to this issues,- the final mark is a weighted average calculated from three partial marks: exercises (weight 0,3), laboratory (weight0,3) and exam (weight 0,4).

3 ekonometria (econometrics) Ważona

3 ekonometria (econometrics) [ćwiczenia]zaliczenie zoceną

0,30

3 ekonometria (econometrics) [wykład] egzamin 0,40

3 ekonometria (econometrics) [laboratorium]zaliczenie zoceną

0,30



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Analiza i diagnoza w przedsiębiorstwie (Analysis and diagnosis in enterprise [moduł]

ekonomika przedsiębiorstw (corporate economics)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr WOJCIECH LEOŃSKI

EFEKTY UCZENIA SIĘ



wiedza

Students know types of organisations and organisational and legalframe of business activity K_W12EP11

Students know relations between national and internationalorganisations, internal and external elements of businessenvironment, resources of enterprises

K_W01K_W12EP22

umiejętności

The student can choose the right type of business activity andanalyze micro and macro environment of enterprises. Moreoverstudents can use different methods to analyze business environment

K_U16K_U18EP31

kompetencje społeczneStudent can speak correctly using acquired knowledge and skills K_K01EP41


Przedmiot: ekonomika przedsiębiorstw (corporate economics)


21. Introduction of economics. The concept of organisation and the organisational life cycle. 4

22. Enterprenuer, entrepreneurial skills, types of entrepreneurs, theories. 4

23. Theoretical and practical basics of the functioning enterprizes. Classification of enterprises. Modelsof the firm. 4

24. Organisational and legal frame of business activity. Types of entrepreneurship and entrepreneurialorganisations. 4

25. Business environment of the enterprise - internal. Theories. 4

26. Business environment of the enterprise - external. Theories. 4

17. Business management, functions and roles of managers. Management skills. 4

28. Corporate Social Responsibility. 4


21. The definition of organisation, enterprise, enterprenuership, mission, vision, goals of the enterprise.Organisational and legal frame of business activity. Case study. 4

22. Relationships between enterprises. Case study. 4

23. Internal factors that influence a companys situation.Case study. 4

24. External factors that influence a companys situation. Case study. 4

25. Enterprises resources. Case study. 4

1/2

26. Human resource management. The attraction, selection, training, assessment, and rewarding ofemployees. Case study. 4

27. Methods of management. Students presentation on chosen topics. 4

18. Verification of education effects. 4

the lecture with using a presentation software programthe disscusion of studentsworking individually and in a teamcase studystudents presentation on chosen topics

Metody uczenia się




EP1,EP2KOLOKWIUM

EP2,EP3,EP4PROJEKT



Evaluation of the exercises:

The final grade will be calculated on the basis of three assignments worth:70% tests - for the test, students are responsible for all material presented during exercises and lectures. Tests are acombination of 10 open questions and problems20% projects prepared within groups (methods of environment analysis)10% the discussion of students during exercises


The final grade of the subject is equal to the grade from the exercises.

4 ekonomika przedsiębiorstw (corporate economics) Arytmetyczna

4ekonomika przedsiębiorstw (corporate economics) [wykład] zaliczenie z

oceną

4ekonomika przedsiębiorstw (corporate economics) [ćwiczenia] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

filozofia (philosophy)(OGÓLNOUCZELNIANE)


Nazwa kierunku:





1 1


dr hab. KAROL POLCYN

EFEKTY UCZENIA SIĘ



wiedza

Student knows various theories of political philosophy. K_W11EP11

Student knows most of important factors necessary for well-being K_W11EP32

Student knows the most important theories of animal rights K_W11EP43

umiejętności

Student can make justified judgment on the topic of minority rightsvs democracy K_U11EP21

Student can justify and defend their believes about contemporarypolitical philosophy K_U11EP52

Student is able to lead a discussion about justice, equality, utilityand well-being K_U16EP73


Student can predict some common effects on well-being, equalityand justice of important philosophical and political ideology K_K02EP61

Student cares about justice, moral rights and well-being of creaturesthat are affected by economic and political decisions K_K05EP82


Przedmiot: filozofia (philosophy)


21. Brief introduction to philosophy of economics 1

22. Utilitarianism and its critics 1

23. Liberal equality. Justice, prioritarianism, egalitarianism 1

24. Libertarianism and communitarianism 1

25. Minority rights, multiculturalism, politics of difference, feminism and discrimination 1

36. Positive psychology and economics of happiness 1

27. Animal rights, ethics of diet 1

Lectures, critical discussions, power point presentantions, reading important texts, watching video materials fromInternetMetody uczenia się

1/2




EP1,EP2,EP3,EP4,EP5,EP6,EP7,EP8PRACA PISEMNA/ ESEJ/ RECENZJA

EP1,EP2,EP3,EP4,EP5,EP6,EP7,EP8PREZENTACJA



The final grade of the course will be a mixture of final oral examination and voluntary work (PowerPoint presentationor short essay). The crucial will be the exam, but other activities can add some points to the final score. All theseactivities will receive numerical scores intended to reflect student's performance levels on an absolute scale(measured against instructor's expectations).Power Point presentation or short essay (1-3 points)Short debates after each topic (1-2 points)Final exam (1-10 points)Points - Grade1-5 points - 26 points - 37 points - 3+8 points - 49 -10 points - 4+11-15 points - 5


The final grade of the course will be a mixture of final oral examination and voluntary work (PowerPoint presentationor short essay). The crucial will be the exam, but other activities can add some points to the final score. All theseactivities will receive numerical scores intended to reflect student's performance levels on an absolute scale(measured against instructor's expectations).Power Point presentation or short essay (1-3 points)Short debates after each topic (1-2 points)Final exam (1-10 points)

1 filozofia (philosophy) Nieobliczana

1 filozofia (philosophy) [wykład]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

finanse przedsiębiorstw (corporate finance)(PODSTAWOWE)


Nazwa kierunku:





2 4


dr hab. ADAM ADAMCZYK

EFEKTY UCZENIA SIĘ



wiedzaStudent knows and understands the mechanism of corporatefinance. K_W02EP11

umiejętnościStudent is able to identify, classify the business funding. K_U01EP21

Student is able to use tools of financial management. K_U02EP32

kompetencje społeczne Student understands the need for learning throughout life. K_K02EP41


Przedmiot: finanse przedsiębiorstw (corporate finance)


21. The finance function, corporate objectives, sources of capital. 4

22. Introduction to financial statement analysis. 4

23. Sources of finance. 4

24. Cost of capital 4

25. Capital structure theories. 4

26. Payout policy theories. 4

27. Capital budgeting- the capital investments process 4

18. Working capital management 4


41. Time value of money. 4

22. Measuring leverage effects. 4

23. Bond and stock valuation- exercises 4

24. Measuring cost of capital. 4

25. Capital structure and corporate value. 4

26. Capital budgeting. 4

17. The payout policy- exercises. 4

Multimedia presentations related to commentary on current issues in the field of corporate finance, problem solving,case studiesMetody uczenia się

1/2




EP1,EP2,EP3,EP4EGZAMIN PISEMNY

EP4KOLOKWIUM



The final grade of tlectures is based on the results of the exam test (containig singile choice qustions and problemsto solve).The final grade of exercises is based on the results tests (containing problems to solve).The marks form exercises and lectures depend on percentage of questions solved ie.:55% - pass ( grade 3,0)65%- grade 3,570%- grade 485%- grade 4,590%- grade 5


The final grade of the course is based in 50% on the lectures mark and 50% of exercises mark .

4 finanse przedsiębiorstw (corporate finance) Arytmetyczna

4 finanse przedsiębiorstw (corporate finance) [ćwiczenia]zaliczenie zoceną

4 finanse przedsiębiorstw (corporate finance) [wykład] egzamin



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

finanse publiczne (public finance)(PODSTAWOWE)


Nazwa kierunku:





2 3


dr NATALIA MARSKA-DZIOBA

EFEKTY UCZENIA SIĘ



wiedzaStudent knows a role and a size of the public sector K_W02EP11

knows key factors determining a national fiscal architecture K_W06EP22

umiejętności

is able to define and characterize public resources, publicexpenditure and public debt policy

K_U02K_U03EP31

can use public finance data and formulate policy applications K_U06K_U10EP42

can evaluate public finance policies K_U17EP53


is ready and willing to communicate and present critical ideas andproposals refering to the public finance

K_K01K_K04EP61

is interested in further studies and perfecting skills in the field ofpublic finance

K_K02K_K05EP72


Przedmiot: finanse publiczne (public finance)


21. The nature of public finance and the main divisions of the subject. Public finance and private finance.

3

32. Public goods, public choice and political process. 3

23. Sources of public revenues. Taxes, fees and revenues from public property and public enterprises. 3

24. Taxation. Characteristics of a good tax system. Taxes and equity. 3

25. Theory of income taxation. Income taxation in Poland and other countries. 3

26. Theory of consumption taxation. Consumption taxation in Poland and other countries. 3

27. Polish taxation system against European countries' regulations. 3

28. Classification of public expenditure. The effects of public expenditure. 3

29. Central and local public finance systems. 3

210. Social security and social insurance. 3

211. Budget balance - deficit or surplus. Limitations and effect of budget imbalance. 3

312. Public debt management - tools, methods and assumptions. Public debt limitations. 3

213. Budgeting in public sector. 3

1/2

214. Private-public partnership 3

Interactive lectures focused on current policy debates and issues, reports analysis.Metody uczenia się




EP1,EP2,EP3,EP4,EP5,EP6,EP7EGZAMIN PISEMNY



The condition to pass is to receive a positive mark of a test.


50 percent of positive answers: mark 3, 75 percent: mark 4.

3 finanse publiczne (public finance) Nieobliczana

3 finanse publiczne (public finance) [wykład] egzamin



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

globalizacja biznesu (business globalization)(PODSTAWOWE)


Nazwa kierunku:





3 6


dr hab. TOMASZ BERNAT

EFEKTY UCZENIA SIĘ



wiedzaStudent has an understanding of the global economy, theglobalization process and business in the global environment

K_W01K_W02K_W03K_W07

EP11

umiejętności

Student is able to present the evolution of MNCs in theinternational arena

K_U01K_U02K_U03K_U05K_U07

EP21

Student is able to identify the sources of debates around theimportance and influence of MNCs in the global world

K_U06K_U07K_U10

EP32

kompetencje społeczneStudent is ready to carry out business tasks and projects ininternational teams. K_K01EP41


Przedmiot: globalizacja biznesu (business globalization)


31. Globalization: - What is globalization - Theories of globalization - Criticism of globalization andimplication on international business 6

32. Globalization versus regionalization: - Regional trade agreements(RTAs) in the world - Influences ofRTAs on the process of globalization 6

33. Multinational Corporations: - The internationalization process - The role of MNCs corporation in theglobal economy 6

34. The Global Institutional Framework: International Organizations and their implication on internationalbusiness - United nation Organization - World Trade Organization - World Bank International MonetaryFund

6

35. Ethics and Responsibility in International Business: - What is CSR? The concept evolution CSR andethical behavior of MNCs 6

The course will be studied through lectures, debates and case studies on specific aspectsMetody uczenia się


EP1,EP2,EP3,EP4PRACA PISEMNA/ ESEJ/ RECENZJA



Students will be required to write two argumentative essays. One should be related to the influences of globalizationon different aspects: economic, political, social or cultural. The second essay should approach the role of MNCs indifferent economies, with a focus on their social responsibilities in that economy.


The final grade is a weighted average of the grades gained from the esseys and score of the active participation inclass.

1/2



6 globalizacja biznesu (business globalization) Nieobliczana

6 globalizacja biznesu (business globalization) [wykład]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

informacja naukowa (scientific information)(INNE DO ZALICZENIA)


Nazwa kierunku:




obowiązkowy semestr: 4 - język polskiStatus przedmiotu: Język przedmiotu:Rok: Semestr:

2 4


EFEKTY UCZENIA SIĘ




Forma zajęć:

Przedmiot:

Metody uczenia się



Nr efektu uczenia sięz sylabusaMetody weryfikacji

efektów uczenia się

Forma i warunki zaliczenia Zasady wyliczania oceny z przedmiotu

4 informacja naukowa (scientific information) Nieobliczana

4 informacja naukowa (scientific information) [ćwiczenia] zaliczenie



Metodaobl. oceny

Waga dośredniej

1/1

S Y L A B U S

informatyka ekonomiczna (economic informatics)(KIERUNKOWE)


Nazwa kierunku:





2 3


dr OLGA PILIPCZUK

EFEKTY UCZENIA SIĘ



wiedzaThe student has a basic knowledge of informatics systems used inbusiness organizations.

K_W13K_W15EP11

umiejętności

The student is able to model and analyze processes using ARISmethodology.

K_U12K_U17EP21

The student defines the requirements for an information system tomeet the needs of economic organization. K_U08EP32

kompetencje społeczne The student is ready for entrepreneurial and team thinking K_K01EP41


Przedmiot: informatyka ekonomiczna (economic informatics)


21. The basics of Economic Informatics 3

22. Fundamentals of Business Process Management 3

53. Business Process Management Systems. The basics of ARIS Methodology 3

24. Business Process Measurement 3

25. Business Process Improvement methodologies 3

26. Intelligent and Cognitive BPM 3


21. An BPM software overview 3

82. Business proces modelling with BPM software tool 3

33. Business process measurement 3

24. Business process improvement 3

multimedia presentations, Computer labs with BPM software toolMetody uczenia się


EP2,EP3KOLOKWIUM

EP1PREZENTACJA

EP2,EP3,EP4PROJEKT


1/2




Lectures: Theoretical knowledge is checked on the basis of the test and the presentations.Labs: The knowledge is checked on the basis of the project.


The grade for lectures is an average of written test and presentation. For 3,0 student must obtain 60% of the pointsof the test. For 4,0 student must obtain 80% of the points. For 5,0 student must obtain 95% of the points.The final grade is an average of the labs and lectures notes.

3 informatyka ekonomiczna (economic informatics) Ważona

3 informatyka ekonomiczna (economic informatics) [wykład]zaliczenie zoceną

1,00

3informatyka ekonomiczna (economic informatics) [laboratorium] zaliczenie z

oceną0,00



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Metody analiz rynkowych (Market research methods) [moduł]

inwestycje na rynku kapitałowym (capital market investments)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr hab. SEBASTIAN MAJEWSKI

EFEKTY UCZENIA SIĘ



wiedza

Student knows the structure and functioning of the capital market. K_W01EP11

Student knows the basics of valuation of financial instruments andinvestment strategies. K_W02EP22

umiejętności

Student can independently make investment decisions on the capitalmarket, and to use economic and financial data to interpret theevents on the capital market.

K_U13EP31

Student is able to make the valuation of financial instruments, usingtechnical and fundamental analysis, and also to use an analysis ofthe profitability of the investment.<br>

K_U15EP42

Student is able to classify investments in terms of their profitabilityand risk. K_U13EP53


Student is able to complement and improve his knowledge and skillsin fields of making rational investment decisions in the capitalmarket.

K_K01EP61

Student is creative in obtaining information about the situation onthe capital market, is inquiring in analyzing of development of thecapital market, and also is focused on the quantitative description ofthe phenomena occurring in the capital market.

K_K04EP72


Przedmiot: inwestycje na rynku kapitałowym (capital market investments)


21. The nature and functions of the capital market as a part of the financial market. Principles of thePolish capital market functioning. 4

22. Instruments of capital market. 4

23. Technical analysis - assumptions, charts, trends, formations and indicators. 4

24. Fundamental analysis - assumptions, steps of analysis. 4

25. Investing on the capital market - investment strategies, sources of information and their interpretation.Short- and long-term investing. 4

26. The risk on the market and its valuation. Risk management. 4

27. Portfolio Analysis - selected methods. 4

18. Financial conglomerates - instruments from different market segments. 4


1/2

21. Rate of return - the types and properties. 4

22. Technical analysis. 4

23. Fundamental analysis - static and dynamic analysis. 4

34. Market valuation of the shares. 4

35. Valuation of risk. 4

36. Portfolios methods - Markowitzs and Sharpes models. 4

The course comprises lectures using multimedia tools and exercises in computer labs - solving problems form thecapital market with the use of EXCEL spreadsheet and Statistica, a case study methods for explaining the problems /processes on the capital market with the use of statistical and econometric tools.

Metody uczenia się




EP1,EP2,EP3,EP4,EP5,EP6,EP7KOLOKWIUM



Students are evaluated on the basis of a written test


The final grade of the course is possible only when a student gets the positive grade from the test.

4inwestycje na rynku kapitałowym (capital market investments)

Arytmetyczna

4inwestycje na rynku kapitałowym (capital market investments)[laboratorium]

zaliczenie zoceną

4inwestycje na rynku kapitałowym (capital market investments)[wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2


IT tools in marketing (narzędzia IT w marketingu)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr AGATA WAWRZYNIAK

EFEKTY UCZENIA SIĘ



wiedza

Student understand the important role of IT in marketing (in keepingabreast of changing technologies). K_W15EP11

Student describes various IT tools to store and analyse data in themarketing information system. K_W15EP22

umiejętności

Student can compare and contrast different IT tools allowing toconduct advertising and promotional campaigns. K_U08EP31

Student is able to collect, analyze, process and critically assess theusefulness of marketing information obtained via the Internet. K_U04EP42

kompetencje społeczneStudent is able to establish contacts and to function on the Internetbeing aware of threats resulting with limitations of social media. K_K05EP51


Przedmiot: IT tools in marketing (narzędzia IT w marketingu)


11. The essence and significance of IT tools in marketing. Chief Marketing Officer (CMO) in the role of anagent of change. CMO as a chief marketing technologist 5

12. Digital channels: social media, mobile marketing, online advertising 5

13. Computer implementation of tasks in the process of the customer service. Customer relationshipmanagement systems (CRM systems) 5

14. Content Management Systems (CMS) 5

15. Mobile tools in marketing 5

26. Marketing through search engines and Internet messengers. The positioning and optimization of webpages 5

17. Tools allowing to conduct advertising campaigns (e.g. Google AdWords, Facebook Ads) 5

18. Tools supporting conducting promotional campaigns (e.g. AdWords Editor, Hootsuite, Buffer) 5

29. Analytical and reporting tools (e.g. Google Analytics, Crazyegg, Brand24, Mention, Share Tally,Website Grader) 5

110. Tools delivering the knowledge about competition and history of promotion (e.g. AHrefs, SpyFu,Alexa) 5

111. Modern technologies: marketing automation, big data, social enterprise and marketing operations 5

212. Integrated marketing software. Business solutions ? case studies 5

Multimedia presentation, Case studies, Group workMetody uczenia się

1/2




EP1,EP2KOLOKWIUM

EP3,EP4,EP5PROJEKT



Lectures:Written test (min. 60% of proper answers to pass).Laboratories:Practical tasks (max. 10 points) - test achievement of learning outcomes in terms of skills.Project (max. 10 points) - a project to achieve the learning outcomes tested on practical skills and teamwork.To pass the laboratory examination a student must obtain 60% of points of practical test and project.


The final course grade will be a weighted mean of the points from the test (40%), project (30%) and tasks (30%).

5 IT tools in marketing (narzędzia IT w marketingu) Nieobliczana

5IT tools in marketing (narzędzia IT w marketingu) [laboratorium] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Język obcy [moduł]

język angielski(OGÓLNOUCZELNIANE)


Nazwa kierunku:




fakultatywny semestr: 2 - język angielski (100%) ,semestr: 3 - język angielski (100%) ,semestr: 4 - język angielski (100%) ,semestr: 5 - język angielski (100%)

Status przedmiotu: Język przedmiotu:Rok: Semestr:1, 2, 3 2, 3, 4, 5


mgr MARIA OBOJSKA

EFEKTY UCZENIA SIĘ



wiedzaknows the vocabulary regarding economy and its functioning,foreign trade and globalization K_W03EP11

umiejętności

is able to communicate freely with an English-speaking interlocutoron economic topics, is able to analyze and present his point of viewand arguments

K_U16EP21

can carry out a written analysis of business problems in the form ofan email, formal letter, report K_U16EP32

kompetencje społeczneis ready to supplement and improve acquired knowledge and skills;understands the need for lifelong learning K_K02EP41


Przedmiot: język angielski

Forma zajęć: lektorat

241. 1. Zajęcia doskonalące wszystkie kompetencje językowe odnoszace się do słownictwa i tematyki wzakresie proponowanym w podręczniku. 2

62. 2. Zajęcia poświęcone na powtórzenie przerobionego materiału 2







conversation,simulation of scenes related to the work environment,listening to business dialogues and presentations (audio),watching short videos (video),reading, analyzing and translating advanced business texts,writing texts (letters, emails, reports),presentations of self-prepared topics related to the field of study (projector)

Metody uczenia się

1/2




EP1,EP3KOLOKWIUM

EP1,EP3SPRAWDZIAN

EP1,EP3PRACA PISEMNA/ ESEJ/ RECENZJA

EP1,EP2PREZENTACJA


EP1,EP2ZAJĘCIA PRAKTYCZNE (WERYFIKACJA POPRZEZ OBSERWACJĘ)



Assessment criteria: attendance, active participation in classes, passing partial tests, written essays andpresentations


The grade for the semester is based on grades from tests, essays, and class participation.

2 język angielski Nieobliczana

2 język angielski [lektorat]zaliczenie zoceną









Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Język obcy [moduł]

język niemiecki(OGÓLNOUCZELNIANE)


Nazwa kierunku:




fakultatywny semestr: 2 - język niemiecki (100%) ,semestr: 3 - język niemiecki (100%) ,semestr: 4 - język niemiecki (100%) ,semestr: 5 - język niemiecki (100%)

Status przedmiotu: Język przedmiotu:Rok: Semestr:1, 2, 3 2, 3, 4, 5


mgr KAJETANA GUTT-JAKUBIAK

EFEKTY UCZENIA SIĘ



umiejętności

Potrafi dobrać odpowiednie zwroty językowe i odtwarzać je wróżnych wzorcach sytuacyjnych K_U17EP21

Potrafi streścić wypowiedź ustną lub pisemną w sposób jasny izrozumiały K_U17EP62


Jest gotów nieustannie się kształcić K_K02K_K04EP41

Wykazuje kreatywność podczas realizowanych zadań. K_K02K_K04EP52


Przedmiot: język niemiecki

Forma zajęć: lektorat

101. Zintegrowane sprawności językowe 2

102. Zagadnienia gramatyczne i leksykalne 2

103. Zajęcia w rozumieniu tekstu mówionego- prezentacje multimedialne 2

104. Kulturowe różnice w zastosowaniu frazeologii i idiomów 3

105. Interpretacja tekstów słuchanych i mówionych 3

106. Gramatyka: słowotwórstwo /budowa czasów /tworzenie konstrukcji językowych 3

157. Praktyka w zastosowaniu nowych i znanych form gramatycznych 4

158. Tworzenie własnych prac w języku obcym (esej/projekt/list / mail) 4

159. Frazeologia i terminologia języka specjalistycznego 5

1510. Własna prezentacja w języku obcym 5

konwersacje,symulacje scenek z życia codziennego,słuchanie dialogów , tekstów i wiadomościolądanie krótkich filmów (sceny z życia codziennego),czytanie analiza i tłumaczenie tekstów,ćwiczenia gramatyczne (pisemne i interaktywne),pisanie krótkich tekstów(maile, listy),prezentacje samodzielnie przygotowanych zagadnień

Metody uczenia się

1/2





EP2,EP4,EP5,EP6ZAJĘCIA PRAKTYCZNE (WERYFIKACJA POPRZEZ OBSERWACJĘ)



Warunki zaliczenia: obecność ,aktywność na zajęciach ,zaliczenie testów cząstkowych ,prac pisemnych i prezentacji.


Ocenę końcowa stanowi ocena z kolokwium zaliczeniowego.

2 język niemiecki Nieobliczana

2 język niemiecki [lektorat]zaliczenie zoceną









Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Rynek i konkurencja (Market and competition) [moduł]

konkurencja i koncentracja rynkowa (competition and monopoly)(KIERUNKOWE)


Nazwa kierunku:





3 5



EFEKTY UCZENIA SIĘ



wiedzaStudent knows definitions from the competition and marketmonopolisation field

K_W01K_W07EP11

umiejętnościStudent has the abilities of analysis of the company activity onmarket under the perspective of competition and possibility toposses market power

K_U01K_U03K_U07

EP21

kompetencje społeczneStudent can think in creative and innovative way and easilycommunicate in English

K_K01K_K02EP31


Przedmiot: konkurencja i koncentracja rynkowa (competition and monopoly)


31. Principles of market competition 5

22. The economic foundations of market concentration 5

23. Competition from the point of view of market actors 5

24. Concepts of measuring the monopoly power 5

25. Monopolization and the problem of resource allocation 5

26. Competition or concentration? 5

27. Practical examples of concentrated market in contemporary economies 5


31. Principles of market competition 5

22. The economic foundations of market concentration 5

23. Competition from the point of view of market actors 5

24. Concepts of measuring the monopoly power 5

25. Monopolization and the problem of resource allocation 5

26. Competition or concentration? 5

07. Practical examples of concentrated market in contemporary economies 5

28. Case studies - monopolization vs competition in global market 5

1/2

The main form of knowledge transfer is lectures with case studies. The main way of excercises is case studiessolving, also discussions. To develop knowledge the exercises in e-learning system will be presented to students.Metody uczenia się





EP1,EP2,EP3PREZENTACJA



The final grade of the course is calculated on the basis of case studies solving and answering open questions.:- Students are assessed on the basis of a written test covering the verification of knowledge based on case studies(50% points) and theory (50% points), for checking the knowledge of the basic principles of the market competitionand concentration - partly by e-learning system.Rating:- The student receives a satisfactory grade - if he can provide some basic definitions of terms related to stateintervention.- The student is given a score good - when also can define the basic relationships occurring in different marketsacting under concentration and competition.- The student receives a very good - if also able to predict the likely impact of events taking place in the markets.


The final grade of the course is calculated on the basis of case studies solving and answering open questions.:Students are assessed on the basis of a written test covering the verification of knowledge based on case studies(50% points) and theory (50% points), for checking the knowledge of the basic principles of the market competitionand concentration.

5konkurencja i koncentracja rynkowa (competition and monopoly)

Arytmetyczna

5konkurencja i koncentracja rynkowa (competition and monopoly)[wykład]

zaliczenie zoceną

5konkurencja i koncentracja rynkowa (competition and monopoly)[ćwiczenia]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

makroekonomia (macroeconomics)(PODSTAWOWE)


Nazwa kierunku:





1 1


dr hab. RAFAŁ NAGAJ

EFEKTY UCZENIA SIĘ



wiedza

Student has general knowledge about main variables andmacroeconomic processes as well as the relationship betweeneconomic operators.

K_W01EP11

Student knows and describes the basic macroeconomic aggregates(ie production, aggregate demand, inflation, unemployment) and theprocesses taking place within them.

K_W01K_W02EP22

umiejętności

Student can correctly identify, classify and explain themacroeconomic aggregates. K_U01EP31

Student can recognize and describe the relationships that occurbetween parts of the economy, as well as the role that individualeconomic operators play in achieving the global equilibrium.

K_U01K_U05EP42

kompetencje społeczneThe student is aware of the importance of knowledge in solvingmacroeconomic problems. K_K02EP51


Przedmiot: makroekonomia (macroeconomics)


41. Podstawy ekonomii i funkcjonowania gospodarki. Stan równowagi w gospodarce. 1

32. Główne problemy makroekonomiczne: globalny produkt i wzrost gospodarczy, rynek pracy ibezrobocie, inflacja. 1

33. System monetarny i polityka pieniężna. 1

34. Konsumpcja i model zagregowanych wydatków, sektor publiczny i polityka fiskalna, eksport netto iwpływ sektora międzynarodowego. 1

25. Stopa procentowa a zagregowany popyt. Krótkoterminowa równowaga w gospodarce. 1


61. Wprowadzenie do ekonomii, obieg dochodów w gospodarce i równowaga w gospodarce. 1

62. Podstawowe problemy makroekonomiczne: pomiar produktu globalnego w tym PKB, bezrobocie,inflacja. 1

43. Rynek finansowy. Pieniądz i system bankowy. Polityka pieniężna. 1

64. Popyt sektora prywatnego i popyt sektora publicznego a popyt zagregowany. 1

45. International trade versus aggregate demand. Income and short-term equilibrium on the commoditymarket. 1

46. Powtórzenie i podsumowanie materiału. 1

solving tasks, multimedia lectures, case study analysisMetody uczenia się

1/2





EP1,EP2,EP3,EP4,EP5KOLOKWIUM



Passing classes: Students are assessed on the basis of two written colloquiums/tests. Tests consist of testquestions and open tasks.Passing lectures: Students are assessed on the basis of the written exam that consists of test questions.

Graduating: a positive grade means that the student understands the fundamentals of macroeconomics, the short-term equilibrium in economy and the role of economic operators.


The final grade is the arithmetic mean of the classes and the exam. If the result of this arithmetic mean is ambiguous,then the exam grade prevails.

1 makroekonomia (macroeconomics) Arytmetyczna

1 makroekonomia (macroeconomics) [wykład] egzamin

1 makroekonomia (macroeconomics) [ćwiczenia]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

marketing (Marketing)(PODSTAWOWE)


Nazwa kierunku:





1 2


prof. dr hab. EDYTA RUDAWSKA

EFEKTY UCZENIA SIĘ



wiedza

Student knows the essence of the company marketing management K_W04EP11

Student lists and describes the instruments of marketing mix K_W04EP22

umiejętności

Student has the ability to suggest the shape of marketinginstruments used by the company - to analyse examples of marketpractice and develops the concept of marketing to a specificcompany

K_U04EP31

Student has the ability to cooperate and solve problems in team K_U18EP42

kompetencje społeczneStudent is ready to formulate their own ideas concerning marketingmanagement and make decisions K_K04EP51


Przedmiot: marketing (Marketing)


21. The development of marketing concept 2

22. Marketing environment 2

33. Market segmentation, targeting and positioning 2

24. The development of product concept 2

25. Pricing strategies 2

26. Managing marketing channels 2

27. Marketing communication 2


21. Getting familiar with the specific marketing-oriented companies 2

22. The analysis of market environment 2

33. Running the process of target market 2

24. The development of the concept of the product and product life cycle for the selected product 2

25. Establishing prices and strategies for price differentiation 2

26. Selection of the method of distribution of the selected offer 2

1/2

27. Preparation of promotional activities for the selected company 2

Multimedia presentation, discussion, case studies, group workMetody uczenia się








Evaluation:The student receives adequate assessment if he receives at least 70% of the points availableThe student receives a good mark if he receives at least 80% of the points availableThe student receives a very good if he receives at least 90% of the points available


Final grade of the course - arithmetic average of grades received by the student during exercises and lectures (test)

2 marketing (Marketing) Arytmetyczna

2 marketing (Marketing) [ćwiczenia]zaliczenie zoceną

2 marketing (Marketing) [wykład]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

matematyka finansowa i ubezpieczeniowa (financial and insurance mathematics)(KIERUNKOWE)


Nazwa kierunku:





2 3


dr hab. IWONA FORYŚ

EFEKTY UCZENIA SIĘ



wiedza

Student knows the basic financial and insurance issues which applyquantitative methods.

K_W05K_W06EP11

Student knows the methods used in matters of money over time,construction schedules for repayment of loans, evaluation ofinvestment projects.

K_W05EP22

Student understands the theoretical calculation of insurance rates. K_W10EP33

umiejętności

Student can describe in a quantitative manner the problems of aneconomic-financial and interpret the results. K_U08EP41

Student adaptation to the analysis of financial markets andinsurance methods of financial mathematics. K_U10EP52

Student assessment of the financial and social investment decisions. K_U05EP63


Student is able to complement and improve their knowledge andskills in English while working individually and in groups using theliterature and available data on the economic and financial capacity. K_K01EP71


Przedmiot: matematyka finansowa i ubezpieczeniowa (financial and insurance mathematics)


21. The possibilities of using mathematics in finance. The theory of interest. Time Value of Money (currentand future). 3

22. Capitalizations of simple, compound, continuous. The intensity of interest. The capitalization of thevariable interest rate. Simple and compound discounts. 3

23. Interest rates - concepts and types. The rate of return. Nominal rate, effective, real. Methods forestimating the discount rate. 3

24. Rent account (the current value and future cash flows). Annuity century. Create a pension fund. FixedAnnuities, growing in arithmetic and geometric progression. Annuities generalized. 3

25. Schedules for repayment of loans. Debt cancellation plans. Rules repayment. Fixed repaymentinstallments combined. Conversion and debt consolidation. 3

26. The use of mathematical finance fixed assets in the economy. Review of methods evaluate theeffectiveness of investment projects. Dynamic methods of evaluation of investment projects. 3

37. Fundamentals of actuarial calculation. Calculation of insurance premiums 3


41. Introduction to time value of money. Percentage of simple and complex. Determining the value ofcurrent and future. 3

22. The possibilities of using basic formulas in Excel spreadsheet for determining the current and futurevalue. Determination of the effective rate. 3

23. Nominal rate, effective and real rate. Equivalent rate. The intensity of interest. The capitalization of thevariable interest rate. 3

1/2

24. Discount rate methods. 3

45. Sequences of payment. Annuities compatible and incompatible. Fixed annuity amount. Annuitiesforming an arithmetic progression, forming a series of geometric pension, annuity generalized. 3

26. Compatible and incompatible annuities. Arithmetic and geometric annuities. 3

47. Construction of annuity repayment plan with decreasing and selected rate. 3

48. The principle of equivalence and installment debt, loan schemes. Conversion. Loans with graceperiod. Consolidation. 3

29. Conversion of debt. Loans with grace period. Consolidation. 3

410. Dynamic measures of evaluation of investment projects. 3

The course comprises lectures with a presentation of research of economic and financial developments andsimulations, exercises, and labs - work individually and in groups.Metody uczenia się









Lecture: written exam test

Exercise: Partial credit during exercise


Final evaluation- avarage of exam and exercise

3matematyka finansowa i ubezpieczeniowa (financial andinsurance mathematics)

Arytmetyczna

3matematyka finansowa i ubezpieczeniowa (financial andinsurance mathematics) [ćwiczenia]

zaliczenie zoceną

3matematyka finansowa i ubezpieczeniowa (financial andinsurance mathematics) [wykład]

egzamin



Metodaobl. oceny

Waga dośredniej

2/2


metody ilościowe w badaniach marketingowych (quantitative methods in marketing)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr hab. SEBASTIAN MAJEWSKI

EFEKTY UCZENIA SIĘ



wiedza

student knows the the steps of marketing research, knows themethod for determining the personal scope and kind and a size ofthe sample.

K_W04EP11

student knows the methods of measurement of attitudes,preferences, motivation, market shares, competitive position. K_W10EP22

umiejętności

Students can prepare a questionnaire to study the preferences andattitudes. K_U10EP31

Student can critical analyse the conditions of marketing researches. K_U06EP42


Student is ready to use the results of research conducted by thestatistical institutes and appreciates the importance andconsequences of cooperation with the departments of publicstatistics.

K_K02EP51


Przedmiot: metody ilościowe w badaniach marketingowych (quantitative methods in marketing)


21. The formulation of goals, the organization of research, description of the field of marketing research.

4

22. Marketing information system, analysis of environment, the criteria for the quality evaluation of datassecondary sources. 4

23. Questionnaire: the building of the questionnaire, the number of respondents and the criteria for therespondents' selection. 4

24. The study of motivation. Observations. Experiments. 4

25. Studies of attitudes, preferences' researches. Measuring scales of attitudes and preferences. 4

26. Researches of shares of the market. Portfolio methods, the measurement of the competitive positionand attractiveness of the market. 4

37. Methods of multidimensional comparative analysis 4


31. Definition of a research and identification of sources of marketing information. 4

32. Measuring scales in marketing research. 4

33. Construction of the questionnaire, verification of assumptions, representativeness problems. 4

34. Measurement in motivational and experimental researches. 4

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35. The application of multidimensional analysis in marketing. 4

The course comprises lectures with a presentation of research of socio-economic phenomena and exercises - casestudies (questionnaires analysis and solving of problems tied with observation and measurement), and problemsolving.

Metody uczenia się




EP1,EP2,EP3,EP4,EP5KOLOKWIUM

EP1,EP2,EP3,EP4,EP5PRACA PISEMNA/ ESEJ/ RECENZJA



The final grade of the course is calculated as follows:- Students are evaluated on the basis of a written test and one work - case study (questionnaires analysis and solvingof problems tied with observation and measurement)Grading:- The final grade of the course is possible only when a student gets a positive grade from the test.


The final grade of the course is calculated as follows:- Students are evaluated on the basis of a written test and one work - case study (questionnaires analysis and solvingof problems tied with observation and measurement)Grading:- The final grade of the course is possible only when a student gets a positive grade from the test.

4metody ilościowe w badaniach marketingowych (quantitativemethods in marketing)

Arytmetyczna

4metody ilościowe w badaniach marketingowych (quantitativemethods in marketing) [laboratorium]

zaliczenie zoceną

4metody ilościowe w badaniach marketingowych (quantitativemethods in marketing) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

metody wyceny przedsiębiorstw (enterprise appraisal methods)(KIERUNKOWE)


Nazwa kierunku:





3 6


prof. dr hab. DARIUSZ ZARZECKI

EFEKTY UCZENIA SIĘ



wiedza

Student has specific knowledge on nature, purpose and function ofthe valuation K_W07EP11

Student knows the methods for valuing businesses K_W07EP22

umiejętności

Student is able to apply known methods of valuation in practice K_U07K_U16EP31

Student is able to build a financial model for the valuation ofcompanies

K_U07K_U16EP42

kompetencje społeczneStudent is ready to recognize and avoid unethical behaviour inbusiness valuation

K_K03K_K05EP51


Przedmiot: metody wyceny przedsiębiorstw (enterprise appraisal methods)


21. The essence of the objectives, functions, business valuations 6

22. Overview of the basic concepts of enterprise valuation 6

23. Legal determinants of the valuation of companies in Poland 6

24. Income approach to valuation of companies 6

25. Estimating the cost of capital for the purposes of business valuation 6

26. Market approach to valuing businesses 6

27. Special cases in the valuation of businesses 6

18. Assessment 6

Lectures with a presentations and examples for practical solutions (case study).Metody uczenia się


EP1,EP2,EP3,EP4,EP5EGZAMIN PISEMNY


1/2




Course ends with an exam test.


The final grade is based on the results of the exam.

6metody wyceny przedsiębiorstw (enterprise appraisal methods)

Nieobliczana

6metody wyceny przedsiębiorstw (enterprise appraisal methods)[wykład]

egzamin



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

międzynarodowe stosunki ekonomiczne (international economic relations)(PODSTAWOWE)


Nazwa kierunku:





3 6


dr inż. MARCIN GRYCZKA

EFEKTY UCZENIA SIĘ



wiedzaStudent knows the main trends of economic policies and tendenciesin economic globalization, knows the role of foreign trade ineconomic processes taking place in the world

K_W16EP11

umiejętności

Student is able to correctly identify and explain the economicpolicies of the state and understands the benefits and risksassociated with the development of the world economy andglobalization

K_U16EP21

Student has the ability to use the English language in terms ofknowledge gained in the course of study. Understand the main ideasof complex text on business topics, including understanding thediscussion. Can communicate sospontaneously and fluently to perform normal conversation withnative speakers. Can formulate clear, detailed oral and written ideas,as well as explain his position on issues that are being discussed,considering the advantages and disadvantages of various option

K_U16EP32

Student can freely communicate in English in an international groupto carry out business tasks and projects. Is able to interact and workin organizations where the language of communication is English

K_U16K_U18EP53

kompetencje społeczneStudent is prepared to form their own ideas and beliefs and toparticipate in decision-making process in a changing environmentconditions

K_K02EP41


Przedmiot: międzynarodowe stosunki ekonomiczne (international economic relations)


21. World economy - basic concepts 6

32. Evolution of the international division of labor 6

33. International trade statistics - selected issues 6

34. International technology transfer and knowledge diffusion 6

25. Role of transnational corporations in the global economy 6

26. Globalization and regionalization problems 6


41. Formal markets and their transition into electronic markets 6

1/2

22. International service market 6

23. Foreign direct investments 6

24. World Trade Organization and its role in the international trade 6

25. International labor force flows 6

36. New phenomena in global economy 6

lectures, discussions, PowerPoint presentations, usage of Internet resources and electronic databasesMetody uczenia się




EP1,EP4KOLOKWIUM




Self-prepared presentation on selected topic (maximum 60 points for this part), final written test consisting of 25questions (multi-choice, 1 point each) plus 1 open-ended question (5 points) (maximum 30 points for this part),student's activity during the exercises (maximum 10 points for this part)


The final grade of the course is calculated as follows:student needs at least 60 points to pass the course, i.e. 60-68 points equals grade 3.0, 69-75 - grade 3.5, 76-84 - grade4.0, 85-92 - grade 4.5, 93 points or more - grade 5.0

6międzynarodowe stosunki ekonomiczne (international economicrelations)

Ważona

6międzynarodowe stosunki ekonomiczne (international economicrelations) [ćwiczenia]

zaliczenie zoceną

0,70

6międzynarodowe stosunki ekonomiczne (international economicrelations) [wykład]

zaliczenie zoceną

0,30



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

mikroekonomia (microeconomics)(PODSTAWOWE)


Nazwa kierunku:





1 2



EFEKTY UCZENIA SIĘ



wiedzaStudent knows basic methodology allowed to analysis basiceconomic events

K_W01K_W03K_W07

EP11

umiejętnościstudents can predict possible scenarios come from different issuesfrom market and can assess company situation in different marketstructure

K_U01K_U05K_U07

EP21

kompetencje społecznestudent can think in creative and innovative way and easilycommunicate in English in an international group of people in orderto carry out business tasks and projects

K_K01K_K02K_K04

EP31


Przedmiot: mikroekonomia (microeconomics)


31. Introduction to microeconomics 2

22. Theory of demand and supply 2

23. Market equilibrium and its changes 2

24. Company choice - theory of production 2

25. Costs, reveniue and profits 2

26. Optimal choice of company 2

27. Market structure - perfect competition 2


31. Introduction to microeconomics 2

32. Economics theory of human behaviour 2

33. Theory of demand and supply 2

34. Market equilibrium and its changes 2

35. Company choice - theory of production 2

36. Costs, reveniue and profits 2

37. Optimal choice of company 2

38. Market structure - perfect competition 2

1/2

39. Market structure - imperfect competition 2

310. The case studies analysis 2

Main form of knowledge transfer is lectures with case studies. The main way of excercises is case studies solving,also discussions, graphic and algebraic tasksMetody uczenia się




EP1EGZAMIN PISEMNY

EP1KOLOKWIUM




The final grade of the course is calculated on the basis of case studies solving and answering open questions:- Students are assessed on the basis of a written examination covering the verification of knowledge based on casestudies ( 50% points) and theory ( 50% points), for checking the knowledge of the basic principles of the functioningof markets and corporate entities (consumers , businesses).Rating:- The student receives a satisfactory grade - if he can provide some basic definitions of terms related tomicroeconomics and solve simple algebraic tasks.- The student is given a score good - when also can define the basic relationships occurring in different markets , aswell as to solve problems in which it can represent causal relationships that take place in the markets.- The student receives a very good - if also able to predict the likely impact of events taking place in the markets , aswell as able to solve case studies that require proper to anticipate effects of events occurring in the markets.


The final grade of the course is calculated on the basis of case studies solving and answering open questions:- Students are assessed on the basis of a written examination covering the verification of knowledge based on casestudies ( 50% points) and theory ( 50% points), for checking the knowledge of the basic principles of the functioningof markets and corporate entities (consumers , businesses) - the exercises will be provided on-line in e-learningsystem..

2 mikroekonomia (microeconomics) Arytmetyczna

2 mikroekonomia (microeconomics) [ćwiczenia]zaliczenie zoceną

2 mikroekonomia (microeconomics) [wykład] egzamin



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

modelowanie i symulacje w analizie biznesowej (computer aided modelling and simulation)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr hab. MAŁGORZATA ŁATUSZYŃSKA

EFEKTY UCZENIA SIĘ



wiedzaStudent has the knowledge about the capabilities and limitations ofcomputer simulation methods in the analysis of the business K_W08EP11

umiejętności

Student can create computer simulation models to solve specificbusiness problems K_U08EP21

Student is able to plan the simulation experiments and interpret theresults K_U10EP32

kompetencje społeczneStudent is ready to formulate his own ideas for solving businessproblems using methods and tools for modeling and simulation ofprocesses

K_K04EP41


Przedmiot: modelowanie i symulacje w analizie biznesowej (computer aided modelling and simulation)


31. Introduction to computer simulation. Basic concepts and definitions 5

62. System Dynamics as the technique of continuous simulation 5

23. Techniques of discrete simulation 5

24. Languages and tools of computer simulation 5

25. An overview of applications of computer simulation methods for economic and business problemssolving (case studies) 5


21. Discussion on character of causal relationships appearing in economic objects 5

42. Acquisition of ability to work in simulation package environment 5

73. Constructing and solving simulation models in simulation package environment for specific decision-making problems (practical tasks) 5

24. Evaluation of achieved educational effects 5

Lectures: multimedia presentationLaboratories: discussion, case studies, performing simulation experiments, the development of theproject, working in groups

Metody uczenia się


EP1SPRAWDZIAN

EP2,EP3,EP4ZAJĘCIA PRAKTYCZNE (WERYFIKACJA POPRZEZ OBSERWACJĘ)


1/2




Lectures: mark for a written testLaboratories: the number of points received for the realization of individual and group projects (max. 20 points): for20 points: 5,0; 18-19: 4,5; 16-17: 4,0; 14-15: 3,5; 12-13: 3,0, 11 and under: 2.0) - mark from the laboratories


The condition for obtaining the final grade is to pass lectures and laboratories at a minimum 3.0.The final grade of the course results from the arithmetic mean of all grades obtained for lectures and laboratories.

5modelowanie i symulacje w analizie biznesowej (computer aidedmodelling and simulation)

Arytmetyczna

5modelowanie i symulacje w analizie biznesowej (computer aidedmodelling and simulation) [laboratorium]

zaliczenie zoceną

5modelowanie i symulacje w analizie biznesowej (computer aidedmodelling and simulation) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

multimedia w działalności biznesowej (multimedia applications in business)(KIERUNKOWE)


Nazwa kierunku:





1 2


dr GRZEGORZ WOJARNIK

EFEKTY UCZENIA SIĘ



wiedzaStudent knows the concepts and technologies in the field ofmultimedia applications and how to use them in the enterprise

K_W13K_W15EP41

umiejętności

Student has an ability to use choosen desktop programmingtechnologies to create multimedia projects K_U08EP21

Student can easily communicate in English in an international groupof people in order to carry out business tasks and projects K_U16

K_U18EP32

kompetencje społeczneThanks to multimedia technologies, the student is ready to conveyhis ideas, works and projects to the auditorium. K_K02EP11


Przedmiot: multimedia w działalności biznesowej (multimedia applications in business)


21. The essence of multimedia. Classification models of multimedia systems, multimedia datamanipulation, multimedia equipment 2

22. Images, audio, animation, video, interactivity, graphics and audio conversion 2

23. Mind mapping 2

24. Computer graphics - graphics types, formats, software, automatic animation, video morfowanie 2

25. Areas of use of multimedia in the enterprise, teaching, remote education, entertainment, mediaadvertising, internet marketing 2

26. Process of creating multimedia content 2

27. Multimedia designing team 2

18. Examples of applications and prepare a multimedia presentation in different technologies 2


21. Discussion topics laboratories and the introduction to HTML 2

12. Introduction to desktop program design, the main menu tool in programming tool 2

23. The use of choosen programming language in desktop applications 2

34. Rules of XAML language as a declarative XML-based language 2

35. Basic XAML controls 2

46. Desktop applications multimedia elements 2

Multimedia presentation, teamwork, project in MS Silverlight technologyMetody uczenia się

1/2




EP4KOLOKWIUM




Completion of the course - which is the final animation project prepared in MS Silverlight and test in the lectureEvaluationStudent receives adequate grade (more than 50 pts), credited a positive test in the lecture and use static elementsavailable in Microsoft Silverlight.The student receives a good grade (more than 75 points), while also use the animation created in MS Silverlightcontrols responsible for the animation effects.The student receives a very good (more than 90 points), while also join the public of presenting the results of hiswork on the project of the group.


The final grade is affected by two components: assessment of the test covering the content of the lecture (30 points)and the animation project done in MS Silverlight, including details by outline (70 points).

2multimedia w działalności biznesowej (multimedia applications inbusiness)

Arytmetyczna

2multimedia w działalności biznesowej (multimedia applications inbusiness) [ćwiczenia]

zaliczenie zoceną

2multimedia w działalności biznesowej (multimedia applications inbusiness) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

negocjacje w biznesie (business negotiations)(PODSTAWOWE)


Nazwa kierunku:





3 6


dr SANDRA MISIAK-KWIT

EFEKTY UCZENIA SIĘ



wiedza

student knows the structure of negotiations, basic styles andstrategies K_W14EP11

student knows the rules of ethical negotiations K_W14EP22

umiejętności

student is able to perform brief negotiations on a given topic K_U11EP31

student is able to use chosen negotiation techniques in practice K_U18EP42

kompetencje społecznestudent is ready to negotiate ethically and responsibly in theprofessional life K_K05EP51


Przedmiot: negocjacje w biznesie (business negotiations)


21. Structure of Negotiations. BATNA 6

32. Ethical Negotiations vs. Distributive Negotiation 6

23. Role of place, time and team in Negotiating. Preparation for Negotiations 6

34. Bargaining strategies and styles 6

25. Communication in Negotiations 6

36. Negotiations in international business and Cross-Cultural Negotiation 6

Workshop, active learning methods, role playing, text and cases analysis, movies with examples, group discussionsMetody uczenia się


EP1,EP2,EP3PRACA PISEMNA/ ESEJ/ RECENZJA




To get a pass the student must get positive results of developed Negotiation Preparation Questionnaire andperformed dialogue of Negotiation and actively collaborate and cooperate during the course.


The final grade is obtained on the basis of the following:- Results of developed Negotiation Preparation Questionnaire and performed dialogue of Negotiation (60%)- Commitment to collaboration and cooperative working (40% )

1/2



6 negocjacje w biznesie (business negotiations) Nieobliczana

6negocjacje w biznesie (business negotiations) [laboratorium] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

obsługa klienta (customer service)(PODSTAWOWE)


Nazwa kierunku:





3 6


dr hab. KRZYSZTOF BŁOŃSKI

EFEKTY UCZENIA SIĘ



wiedza

He/she has a basic knowledge about specifics, structures andprocesses of business-customer relationship

K_W04K_W12K_W16

EP11

He/she knows principles of methods and tools of customer service K_W04EP22

umiejętności

He/she can give the proper solutions to typical problemsencountered in customer service

K_U04K_U13EP31

He/she can apply basic methods and tools of customer service K_U04EP42


He/she is ready to take part in preparing projects regarding customerservice K_K01EP51

He/she is ready to formulate opinions and views referring differentaspects of customer service in business settings K_K04EP62


Przedmiot: obsługa klienta (customer service)


31. Corporate culture focused on customers 6

32. Gaining knowledge about customers 6

53. Planning, monitoring and evaluation of customer service activities 6

44. Tools of customer service 6


21. Individual clients versus corporate clients 6

22. Customer as a prosumer 6

03. Communication with clients 6

34. Traditional tools of customer service 6

25. State-of-the-art tools of customer service 6

36. Customer service process 6

37. Quality of customer service 6

PPT presentation, case studies, discussion based on papers, team workMetody uczenia się

1/2




EP1,EP2,EP3,EP4,EP5,EP6PRACA PISEMNA/ ESEJ/ RECENZJA



An essay focused on resolving the defined research problem. This written verification of students knowledge coversboth lectures and exercises. A student will be asked to apply the obtained knowledge and skills.Student receives a satisfactory evaluation (grade 3,0) when she/he is able to discuss and apply on a certain examplebasic tools of customer service and can indicate methods of evaluating quality of costumer service.


The final grade of the course is equal to the assessment of credit obtained in writing (an essay).

6 obsługa klienta (customer service) Arytmetyczna

6 obsługa klienta (customer service) [wykład]zaliczenie zoceną

6 obsługa klienta (customer service) [ćwiczenia]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2


ocena przedsięwzięć innowacyjnych (innovative initiative evaluation)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr hab. KRZYSZTOF JANASZ

EFEKTY UCZENIA SIĘ



wiedza

A student knows the basic categories of asset used for innovativeprojects.

K_W14K_W16EP11

A student knows the selection of innovative assessment techniquessuch as the scoring system, benchmarking, QuickLook.

K_W02K_W12K_W16

EP22

umiejętności

A student on the basis of certain parameters can evaluate the statusof the innovative project and identify potential sources of financing


EP31

A student is able to identyfy problems and propose the directions ofchanges to improve the innovation project.

K_U13K_U16K_U17

EP42

A student is able to identify sources od innovative risk in theprojects.


EP53

A student is able to access and evaluate the various stages ofevaluation of innovative projects.


EP64

kompetencje społeczneA student is ready to develop and improve his ability to work in thegroup and comply with ethical provisions in his professional life K_K01

K_K05EP71


Przedmiot: ocena przedsięwzięć innowacyjnych (innovative initiative evaluation)


21. The asset in the development of innovative business and economy 4

12. Macroeconomic conditions of innovative projects 4

23. Strategies for innovation in the enterprises 4

24. Risk and uncertainly in innovative projects 4

25. Financing of innovative projects 4

26. Methods of asseessment of innovative projects 4

1/2

27. Evaluation and criteria for success of innovative projects financed form public funds 4

28. Evaluation and criteria for success of innovative projects funded by provate sector 4


21. Types, systematics and functions of asset in innovative projects 4

22. Analysis of the market and competition 4

23. Protection against the risk of an innovative project 4

24. Sources of financing of innovative projects 4

25. The process of innovation in the enterprises 4

46. Innovative projects - case studies 4

17. Calculation of the effectiveness of innovative projects 4

Lecture with audiovisual aids, discoussions, case study analysisMetody uczenia się




EP1,EP2KOLOKWIUM

EP7PREZENTACJA




Rating of the exercises is to assess for the execution of a final essay: preparation of the project and its presentationor research and presentation of the results - the project is testing the achievement of learning outcomes in terms ofskills. Evaluation of the lectures is obtained form the test - a written test of the learning outcomes achieved in termsof knowledge gained during participation in lectures and exrecises. The student receives a satisfactory grade, whenhe can discuss the basic knowledge of evaluation of the innovative projects, their financing, orgnization andrequirements, which checks the achieved learning outcomes in terms of knowledge and skills obatained throughparticipation in lectures and exercises.


Final grade od the course is the averange of the marks obtained in the exam and excercise.

4ocena przedsięwzięć innowacyjnych (innovative initiativeevaluation)

Arytmetyczna

4ocena przedsięwzięć innowacyjnych (innovative initiativeevaluation) [laboratorium]

zaliczenie zoceną

4ocena przedsięwzięć innowacyjnych (innovative initiativeevaluation) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2


ocena ryzyka działalności gospodarczej (risk evaluation of economic activity)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr hab. TOMASZ WIŚNIEWSKI

EFEKTY UCZENIA SIĘ



wiedza

Student knows the concept of risk and its possible influence onbusinesses K_W14EP11

Student knows the methods of risk analysis K_W14EP22

umiejętności

Student can apply the known methods of risk analysis K_U10K_U14EP31

Student is able to assess the risks related to the business K_U10K_U14EP42

kompetencje społeczneStudent is ready to formulate their own ideas and make decisionsand carry out business responsibly and ethically

K_K04K_K05EP51


Przedmiot: ocena ryzyka działalności gospodarczej (risk evaluation of economic activity)


21. The nature of risk and risk measures 4

12. Classification of risk analysis methods 4

23. Qualitative risk assessment 4

24. Sensitivity analysis 4

25. Scenario and probabilistic analysis 4

26. Decision trees method 4

47. Monte Carlo simulation method 4


21. Types of risk in business 4

52. Application of the Monte Carlo simulation methods 4

23. Sensitivity analysis 4

24. Scenario analysis 4

45. Application of the decision trees method 4

Lectures with multimedia presentations and laboratories with self-workMetody uczenia się

1/2




EP1,EP2,EP3,EP4,EP5PROJEKT



Positive assessment of the project (one assessment for both lectures and laboratories)


Final grade is equal to the project grade

4ocena ryzyka działalności gospodarczej (risk evaluation ofeconomic activity)

Arytmetyczna

4ocena ryzyka działalności gospodarczej (risk evaluation ofeconomic activity) [laboratorium]

zaliczenie zoceną

4ocena ryzyka działalności gospodarczej (risk evaluation ofeconomic activity) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

ochrona własności intelektualnej (intellectual property protection)(OGÓLNOUCZELNIANE)


Nazwa kierunku:





1 1


dr PRZEMYSŁAW KATNER

EFEKTY UCZENIA SIĘ



wiedzaStudent knows and understands basic concepts and principles ofthe protection of industrial property and of copyright and the needfor intellectual property management.

K_W07EP11

umiejętności Student uses acquired knowledge in their activity K_U07EP21


Student is ready to systematically deepen their knowledge, inparticular regarding legal status updates. K_K02EP31

Student is convinced of importance of behaving in professionalmanner and obeying rules of professional ethics. K_K05EP42


Przedmiot: ochrona własności intelektualnej (intellectual property protection)


11. Introduction to intellectual property law. 1

12. The scope of the act of 4 February 1994 on copyright and related rights 1

13. The subject of copyright 1

24. The content of copyright 1

15. The duration of author's economic rights 1

16. The transfer of author's economic rights 1

17. The protection of author's moral and economic rights. 1

18. Criminal liability. 1

19. The scope of the act of 30 June 2000 on law of industrial property. 1

310. Inventions, utility models and industrial models 1

111. Trademarks and geographical indications 1

112. Pursuing claims on account of violating exclusive rights. 1

Problem lectureMetody uczenia się




1/2




The final grade will be based on the test with assessment. The assessment includes knowledge from lecture andlegal acts and recommended literature. Multiple choice test with negative points, with 20 questions.


The final grade depends on the amount of points earned from the test: 5,0 - 23-25 points, 4,5 - 21-22 points, 4,0 - 18-20points, 3,5 - 16-17 points, 3,0 - 13-15 points.

1ochrona własności intelektualnej (intellectual property protection)

Nieobliczana

1ochrona własności intelektualnej (intellectual property protection)[wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

organizacja i zarządzanie (organization and management)(PODSTAWOWE)


Nazwa kierunku:





1 1


dr hab. KATARZYNA GADOMSKA-LILA

EFEKTY UCZENIA SIĘ



wiedza

Student defines basic concepts related to the managementprocess and organizational functioning.

K_W12K_W14EP11

Student explains the influence of the environment on theorganization and identifies challenges that the contemporaryenvironment makes to the organization.

K_W01K_W12K_W16

EP22

Student explains the essence of every management functionas well as basic theories describing that functions.

K_W12K_W14EP33

umiejętności

Student does decision making process consistent with therational approach.

K_U11K_U13K_U17

EP41

Student participates in class discussions using English andpresents management issues in English. K_U16EP52

Student identifies element of the organization and itsexternal environment and assesses environmental influence onthe organization.

K_U04K_U18EP63

kompetencje społeczneStudent identifies dilemmas connected with the managerialwork.

K_K01K_K05EP71


Przedmiot: organizacja i zarządzanie (organization and management)


41. The essence of management and challenges that are put in front of the managers. 1

22. Organizational culture. 1

23. Planning: essence, planning process, goals, strategic analysis in planning 1

34. Designing organizations 1

45. Leading people: leadership and motivating 1


31. Exercise on the essence of management 1

22. Exercise on the managerial roles and skills. 1

23. Exercise on the organizational sub-systems and external environment elements 1

24. Exercise on the decision making process and rationality restrictions. 1

25. Exercise on influencing people and motivating them 1

1/2

26. Designing organizational control system 1

27. Concluding exercise on applying planning, organizing and controlling. 1

Discussions in groups., Lecture with usage of the multimedia presentation with numerous practical examples.,Assignments showing practical applications of chosen managerial instruments and enabling checking how studentsunderstand issues discussed during classes.

Metody uczenia się





EP1,EP2,EP3,EP4,EP5,EP6,EP7ZAJĘCIA PRAKTYCZNE (WERYFIKACJA POPRZEZ OBSERWACJĘ)



Forms of completing exercises:- Colloquium (60% points) - open questions, education effects in the field of knowledge and skills- Reports from the assignments (35% points) - assignments realized during exercises and as homeassignments- Activity during exercises (5% points) - development of skills of expressing individual opinionsForms of completing lectures:- Single choice test, In order to participate in the test students need to get pass the exercises part.


Final grade:Weighted average grade from exercises (60%) and lectures (40%). Student has to pass both parts of the course.

1 organizacja i zarządzanie (organization and management) Ważona

1organizacja i zarządzanie (organization and management)[wykład]

zaliczenie zoceną

0,40

1organizacja i zarządzanie (organization and management)[ćwiczenia]

zaliczenie zoceną

0,60



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

podstawy finansów (fundamentals of finance)(PODSTAWOWE)


Nazwa kierunku:





1 1


dr DOROTA SKAŁA

EFEKTY UCZENIA SIĘ



wiedza

The student has knowledge of the position of finance within thegeneral economic environment and of its links to other disciplines(such as sociology and law), while understanding the mainprocesses, categories and instruments within finance.

K_W02EP11

The student has knowledge of the basic rules of financial systemfunctioning, mainly with respect to financial and non-financialinstitutions (of the private and public sector) and its relations withthe real economy.

K_W02EP22

The student understands the role of money in the economy and themoney creation mechanism. K_W02EP33

umiejętności

The student is able to correctly interpret the money creation processin the modern economy, including its sources and link this tomacroeconomic outcomes.

K_U01K_U02EP41

The student is able to identify the perspectives and challengesrelated to changes within modern financial processes, includingchanges of institutions and markets.

K_U01EP52

The student has basic skills of analysing the role of financialinstruments usage by financial and non-financial institutions. K_U01EP63


The student is capable to identify basic ethical dilemma relating tousing financial instruments in the private and public sector, in thecontext of the moral hazard problem. K_K01EP71

The student is prepared to communicate and present basicknowledge on the rules of functioning of the modern financialsystem.

K_K01EP82

The student is interested in further studies and perfecting skills inthe field of finance.

K_K01K_K02EP93


Przedmiot: podstawy finansów (fundamentals of finance)


21. The field and functions of finance. Money as building block of financial phenomena. 1

22. Financial system: structure, functions and the main markets. 1

33. Monetary and non-monetary financial institutions. 1

24. Central bank and its role in stabilising monetary conditions. Basic monetary policy tools. 1

25. Interest rates and exchange rate as determinants of the finanicial market outcomes. 1

26. The stock market, the efficient market theory, stock valuation. 1

1/2

27. Financial crises: origins, development and consequences. 1


41. The time value of money. Present and future values and the concept of discounting. 1

22. Public finance and economic growth. Public spending and income, public finance deficit and publicdebt. 1

33. Evolution of money forms, functions of money. Inflation - forms and sources, measures. 1

34. The framework of commercial banking. Main bank types and banking operations. Central banks. 1

25. The euro as the common currency: challenges and advantages. 1

16. Written test. 1

Lecture with powerpoint presentations, analysis of data and information sources, basic financial calculations,discussion, case-study.Metody uczenia się










Final exam: Written exam, in the form of a multiple choice test (80% points), with 2-4 additional short questions (20%points). Exam grading: 50% pass, 75% grade 4.0.Tutorial grading: Written test (30% points) and student participation in tutorials (70%). Written test - multiple choicetest. Written test grading: 50% pass, 75% grade 4.0. Students must pass the written test in order to pass the tutorial.Student participation in tutorials: graded written homework (80%) and active participation in the discussions andpresentations during classes (20%).


The final grade will be calculated as a weighted mean of the final exam grade (60%) and tutorial grade (40%).

1 podstawy finansów (fundamentals of finance) Nieobliczana

1 podstawy finansów (fundamentals of finance) [wykład] egzamin

1 podstawy finansów (fundamentals of finance) [ćwiczenia]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

podstawy programowania komputerów (introduction to computer programming)(KIERUNKOWE)


Nazwa kierunku:





2 3


dr hab. JAKUB SWACHA

EFEKTY UCZENIA SIĘ



wiedza

Student knows the basic terms and structures characteristic ofstructured programming K_W08EP11

Student knows the phases of software development life-cycle. K_W08EP22

umiejętności

Student is able to independently design, implement and testprograms in Python K_U08EP31

Student is able to implement programs according to givenspecifications K_U08EP42

Student is able to work with other developers in the implementationof a joint software development project K_U18EP53

kompetencje społeczneStudent is aware of the allowed terms of use of software undervarious licenses K_K03EP61


Przedmiot: podstawy programowania komputerów (introduction to computer programming)


21. Basic terminology of programming. Methods of algorithm specification 3

22. Computer as an object of programming 3

13. Programming languages. Programming paradigms 3

24. The components of program. Simple and complex instructions 3

25. Strings, lists, tuples and their processing 3

26. Functions and modules 3

27. Dictionaries and sets. Files and databases 3

28. Software testing and documenting 3


21. Python syntax 3

22. Simple programs with input/output and calculations 3

43. Using conditional statements 3

44. Using loops. Processing data sequences 3

25. Built-in functions 3

1/2

46. Standard modules 3

47. Defining functions. Recursion 3

48. Defining classes. Inheritance 3

29. Files and databases 3

210. Testing programs. Debugger 3

- lecture supported with multimedia presentation- application development, programming- case study- problem solving- working in groups- project development

Metody uczenia się




EP1,EP2KOLOKWIUM

EP3SPRAWDZIAN

EP4,EP5,EP6PROJEKT




The lectures grade is based on the results of a single-choice test covering the content of the lectures. Grading scale:3.0: more than 50% points; 4.0: more than 70%, 5.0: more than 85%.The laboratory exercises grade is a weighted average of a programming test consisting of writing a computerprogram designated by the teacher (35% points), group project - a program written in collaboration with otherstudents (topic selected by the group) (35% points), and completing laboratory exercises during the semester (30%points).Grading scale: 3.0: more than 50% points; 4.0: more than 70%, 5.0: more than 85%.


The final grade of the course is an arithmetic mean of the laboratory exercises grade and the lectures grade.

3podstawy programowania komputerów (introduction to computerprogramming)

Arytmetyczna

3podstawy programowania komputerów (introduction to computerprogramming) [wykład]

zaliczenie zoceną

3podstawy programowania komputerów (introduction to computerprogramming) [ćwiczenia]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2


podstawy sieci komputerowych (computer networks)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr hab. JAKUB SWACHA

EFEKTY UCZENIA SIĘ



wiedza

Students know how computer networks are organized, and how theywork. K_W08EP11

Students know the tools used for diagnosing and managingcomputer networks. K_W08EP22

umiejętności Students can diagnose and configure computer networks. K_U08EP31

kompetencje społeczneStudents are able to form their own ideas and beliefs and toparticipate in decision-making process regarding issues related tocomputer networks.

K_K04EP41


Przedmiot: podstawy sieci komputerowych (computer networks)


21. A conceptual introduction to the physical network infrastructure. Introduction to the organization oflogical networks. Introduction to Active Directory 4

22. Introduction to TCP/IP and TCP/IP addressing. Introduction to name resolution. Configuration ofdynamic IP addressing 4

13. A conceptual introduction to content delivery. Introduction to IP communication. Procedures toperform subnetting 4

14. A conceptual introduction to IPv6 addressing. Introduction to unicast IPv6 addresses. Configuration ofIPv6 4

25. Introduction to administrative tools in Windows Server 2016. Introduction to performance monitoringtools in Windows Server 2016. Procedures to perform server administration 4

26. Introduction to securely accessing Web content and files. A conceptual introduction to public keyinfrastructure 4

17. Introduction to perimeter security. Configuration of Windows Firewall. Procedures to monitor andtroubleshoot Windows Firewall 4

28. Introduction to remote access. Configuration of a network policy server. Introduction to routing.Configuration of routing 4

19. Various methods to implement server scalability and availability. Implementation of Windows networkload balancing Introduction to server virtualization. Implementation of server virtualization 4

110. A conceptual introduction to printing. Introduction to the printing processes. Configuration ofnetwork printers Implementation of print management 4


21. A conceptual introduction to the physical network infrastructure. Introduction to the organization oflogical networks. Introduction to Active Directory 4

12. Introduction to TCP/IP and TCP/IP addressing. Introduction to name resolution. Configuration ofdynamic IP addressing 4

13. A conceptual introduction to content delivery. Introduction to IP communication. Procedures toperform subnetting 4

14. A conceptual introduction to IPv6 addressing. Introduction to unicast IPv6 addresses. Configuration ofIPv6 4

1/2

25. Introduction to administrative tools in Windows Server 2016. Introduction to performance monitoringtools in Windows Server 2016. Procedures to perform server administration 4

26. Introduction to securely accessing Web content and files. A conceptual introduction to public keyinfrastructure 4

17. Introduction to perimeter security. Configuration of Windows Firewall. Procedures to monitor andtroubleshoot Windows Firewall 4

28. Introduction to remote access. Configuration of a network policy server. Introduction to routing.Configuration of routing 4

29. Various methods to implement server scalability and availability. Implementation of Windows networkload balancing Introduction to server virtualization. Implementation of server virtualization 4

110. A conceptual introduction to printing. Introduction to the printing processes. Configuration ofnetwork printers Implementation of print management 4

- lecture supported with multimedia presentation- case study- problem solvingMetody uczenia się








Laboratories are evaluated based on individual practical exercises.Lectures are evaluated based on single-choice test.


The final grade is the average of lecture grade (50% points) and laboratories grade (50% points).The final grade is based on the number of points (Polish grade scale):- 91-100: 5,- 81-90: 4,5,- 71-80: 4,- 61-70: 3,5,- 50-60: 3,- less than 50: 2.

4 podstawy sieci komputerowych (computer networks) Arytmetyczna

4podstawy sieci komputerowych (computer networks) [wykład] zaliczenie z

oceną

4podstawy sieci komputerowych (computer networks)[laboratorium]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

polityka gospodarcza (economic policy)(PODSTAWOWE)


Nazwa kierunku:





1 2


dr IZABELA SZAMREJ-BARAN

EFEKTY UCZENIA SIĘ



wiedza Student defines the basic concepts of economic policy K_W01EP11

umiejętności

Student describes and explains the theoretical and practical aspectsof economic policy. K_U03EP21

Student uses theoretical concepts to explain the relationshipbetween the state and the market in modern economies andeconomic development.

K_U01K_U03EP32


Student critically assesses economic policy decisions K_K02K_K04EP41

Student complements and broadens the acquired knowledge andskills in the field of economic policy, is aware of the importance ofthe concept of lifelong learning.

K_K02EP52

Student is prepared for active teamwork aimed at solving commonproblems in the public interest

K_K01K_K05EP63


Przedmiot: polityka gospodarcza (economic policy)


21. Concept, determinants and economic policy objectives. Functions and fields of economic policy. 2

32. Instruments of economic policy: fiscal policy, monetary policy, income policy 2

13. Counter-cyclical policy and contemporary crises 2

14. Economic growth and development - the basic problems. Pro-growth policies. 2

25. Industrial policy. The investment policy. Science and innovation policy.- and other growth factors 2

26. Structural policy. Structural changes in the economy. Types and structural policies. Structuralproblems of transition. 2

27. Labor market regulation. Employment policy and its functions. Instrumentation. 2

28. Regional economic policy in Poland and the European Union 2

informative lecture, multimedia presentation, case studies, group work, texts analysing/watching films withdiscussion, gamificationMetody uczenia się



EP5,EP6PREZENTACJA

EP4,EP5PROJEKT


1/2




The student will get credit if hers/his assessment of the test, presentation and project is positive.


50% test,30% presentation, 20% project

2 polityka gospodarcza (economic policy) Nieobliczana

2 polityka gospodarcza (economic policy) [wykład]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2


polityka regulacyjna państwa (state intervention policy)(KIERUNKOWE)


Nazwa kierunku:





3 5



EFEKTY UCZENIA SIĘ



wiedza

Students have knowledge of the nature and causes of stateregulatory policy, premises of State influence on functioning ofenterprises, the tools and methods of regulation of the market andthe impact of regulation on businesses and their business models.

K_W01K_W02K_W03

EP11

umiejętności

Student has the ability to determine the causes of regulatory policyand its impact on the functioning of the business, knows the toolsand means to control the market process, is able to determine theimpact of state regulatory policy on the business.models of companies


EP21

kompetencje społeczneStudent develops ability to assess the effectiveness of stateregulatory policy in the functioning of enterprises and its impact onbuilding business models.

K_K01K_K02K_K04

EP31


Przedmiot: polityka regulacyjna państwa (state intervention policy)


31. Introduction to the theory of regulation 5

22. Reasons of control - market failure, public goods, asymmetric information, dominant market position

5

23. Polish and European regulators. Legal basis for regulatory policy in the European Union and Poland -treaties and EU directives, the source of regulatory policies and instruments 5

24. Regulatory processes in the Polish and European economy 5

25. Competition policy 5

26. Consumer protection policy 5

27. Examples of regulatory policy - antitrust, telecommunications policy, the liberalization of air travel,deregulation of the labor market 5


31. Reasons of intervention 5

22. Polish and European regulators. Legal basis for regulatory policy in the European Union and Poland -treaties and EU directives, the source of regulatory policies and instruments 5

23. Regulatory processes in the Polish and European economy 5

24. Competition policy 5

1/2

25. Consumer protection policy 5

46. Examples of regulatory policy 5

Main form of knowledge transfer is lectures with case studies. The main way of excercises is case studies solving,also discussions.Metody uczenia się





EP2,EP3PREZENTACJA



Rating:- The student receives a satisfactory grade - if he can provide some basic definitions of terms related to stateintervention.- The student is given a score good - when also can define the basic relationships occurring in different markets andeconomies after interention.- The student receives a very good - if also able to predict the likely impact of events taking place in the economiesand markets after intervention.


The final grade of the course is calculated on the basis of case studies solving and answering open questions.Students are assessed on the basis of a written examination covering the verification of knowledge based on casestudies (50% points) and theory (50% points), for checking the knowledge of the basic principles of the functioning ofstate intervention policy

5 polityka regulacyjna państwa (state intervention policy) Arytmetyczna

5polityka regulacyjna państwa (state intervention policy) [wykład] zaliczenie z

oceną

5polityka regulacyjna państwa (state intervention policy)[ćwiczenia]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U SModuł:Rynek nieruchomości (Real estate markets) [moduł]

pośrednictwo w obrocie nieruchomościami (real estate brokerage)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr ANNA GDAKOWICZ

EFEKTY UCZENIA SIĘ



wiedza

Student has the knowledge of the specific character, features andfunctions of the real estate market K_W16EP11

Student has the knowledge of the types of property rights K_W16EP22

Student has the knowledge of the agency agreement K_W16EP33

umiejętnościStudent has the ability to make a description of the real estate K_U15EP41

Student has the ability to simulate a transaction K_U15EP52

kompetencje społeczneStudent is ready to use available research results K_K02EP61

Studnet is ready to conduct an analysis of legal acts K_K02EP72


Przedmiot: pośrednictwo w obrocie nieruchomościami (real estate brokerage)


21. The real estate market 5

22. Features of the real estate market 5

23. Functions of the real estate market 5

24. Legal title to the property as an object of circulation 5

25. Parties to the transaction 5

26. An agency contract - types. Description of the property 5

27. Presentation of a real estate 5

18. Tools supporting the work of a real estate agent 5

Multimedia presentation, method of cases. Simulation methods, group work, analysis of sourcedocumentsMetody uczenia się


EP1,EP2,EP3,EP4,EP5,EP6,EP7PROJEKT


1/2




Form and terms of examination:- Students knowledge is assessed on the basis of their presence and their independent work concerning thedescription of a real estate transaction.Evaluation:- A student receives a sufficient grade if he attends classes and prepares a presentation of a real estate


The final grade is based on individually prepared project grade.

5pośrednictwo w obrocie nieruchomościami (real estatebrokerage)

Ważona

5pośrednictwo w obrocie nieruchomościami (real estatebrokerage) [wykład]

zaliczenie zoceną

1,00



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

praktyka zawodowa (professional practice)(INNE DO ZALICZENIA)


Nazwa kierunku:





2 4


dr TOMASZ ŁUKASZEWSKI

EFEKTY UCZENIA SIĘ



umiejętnościStudent continuously improves their theoretical knowledge andpractical skills K_U18EP11

kompetencje społeczneStudent is ready to operate on the labor market and look for aworkplace appropriate to qualifications

K_K03K_K05EP21

Professional activities carried out under the direction of the tutor in the selected workplaces.Metody uczenia się


EP1,EP2OPINIE W DZIENNIKU PRAKTYK



Student receives a pass mark if they take the practice in a workplace which is consistent with their field of study andspecialization and provide apprenticeship card signed by the tutor specified in the agreement.


Student receives a pass mark if they take the practice in a workplace which is consistent with their field of study andspecialization and provide apprenticeship card signed by the tutor specified in the agreement.

4 praktyka zawodowa (professional practice) Nieobliczana

4 praktyka zawodowa (professional practice) [praktyka] zaliczenie



Metodaobl. oceny

Waga dośredniej

1/1

S Y L A B U S

prawo (law)(OGÓLNOUCZELNIANE)


Nazwa kierunku:





1 1


dr hab. PASQUALE POLICASTRO

EFEKTY UCZENIA SIĘ



wiedza

Student knows the fundamental legal concepts in English K_W07EP11

Student has the knowledge about the fundamental branches andfields of law in the comparison scope K_W07EP22

Student has the knowledge about the fundamental law systems(common Law and Civil Law) K_W07EP33

Student has the knowledge about the fundamental law institutions inthe field of public law, private law and the European Union law. K_W07EP44

Student has the knowledge about means, which enable presentinglegal problems in the right way to solve them with IT K_W08EP55

umiejętności

Student can distinguish the fundamental legal concepts and definethem K_U07EP61

Student understands fundamental legal verdicts, can analyze basiclegal cases K_U07EP72

Student can present an abstract of legal acts through Mind Mapping K_U07EP83

Student can prepare legal newsletters K_U07EP94

Student can summarize legal verdicts K_U07EP105


Student is able to work in a team using fundamental legalterminology K_K01EP111

Student is able to participate in the creation process of summarizinga legal verdict or a legal act in an interdiciplinary team of lawers,econmists, IT professionals

K_K01K_K02EP122

Student has a fundamental competences for working with basic ITtools, when analyzing fundamental legal problems K_K04EP133


Przedmiot: prawo (law)


21. Definitions, Law, legal environment, legal problem. 1

32. Legal Norms and Legal Orders 1

23. Law and the Biosphere, Law and the Noosphere, Law and the Economic Sphere, Law and theSemiosphere 1

34. Law and Technology 1

35. Common Law and Civil Law 1

1/2

36. Different branches of law belonging to public law and private law, understood on the ground of caselaw in a comparative perspective 1

37. Legal aspects concerning European Integration 1

28. Legal aspects concerning globalization 1

29. The fundamental institutions of a state 1

310. Public services: energy, water, transportation 1

411. Foundations of commercial Law and of company law 1

Explaining the legal concepts and institutions during lectures. Understanding, discussiong andsummarizing legal texts. Analyzing legal texts. Discussions about important cases and important legal acts.Metody uczenia się




EP1,EP10,EP2,EP3,EP4,EP5,EP6,EP7,EP8,EP9

SPRAWDZIAN




The final grade of the course will be based on passing all term tests.


The final grade of the course will be based on passing all term tests.

1 prawo (law) Ważona

1 prawo (law) [wykład]zaliczenie zoceną

1,00



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

problemy współczesnej ekonomii (modern economics)(PODSTAWOWE)


Nazwa kierunku:





3 6


dr hab. RAFAŁ NAGAJ

EFEKTY UCZENIA SIĘ



wiedza

Student zna współczesne nurty makro- i mikroekonomiczne, posiadawiedzę dotyczącą wzrostu gospodarczego i cyklu koniunkturalnego. K_W01EP11

Student zna instrumenty służące do monitorowania sytuacjigospodarczej.

K_W01K_W05EP22

umiejętnościStudent potrafi poprawnie identyfikować, klasyfikować i wyjaśniaćinstrumenty polityki gospodarczej.

K_U01K_U03EP31

kompetencje społeczneStudent jest gotów do pogłębiania wiedzy i udziału w procesiedecyzyjnym w zmieniających się warunkach gospodarczych.

K_K02K_K04EP41


Przedmiot: problemy współczesnej ekonomii (modern economics)


21. The main areas of interest of modern (contemporary) economics. 6

42. Economic growth and economic development. Cyclical fluctuations in the contemporary economy. 6

23. The role of the state in modern economy. 6

44. The functioning of the economy in the short and long term. Model IS-LM-BP and AD-AS. 6

25. Competitiveness of economies and globalization and economic development in the modern(contemporary) world. 6

16. Repetition and summary of modern economics issues. 6


41. Basic economic problems in modern world economies. Statistical overview in major national andinternational institutions/organizations. 6

22. Economic growth in terms of mathematical and statistical: measures of calculation of economicgrowth. 6

33. Condition of the economy and the business cycle stages. 6

24. The relationship between short-term and long-term equilibrium in the economy. 6

35. Competitiveness of economies and socio-economic development - statistical data analysis. 6

16. Repetition and summary of modern economics issues. 6

Studium przypadku, wykłady multimedialneMetody uczenia się

1/2





EP4SPRAWDZIAN



zaliczenie ćwiczeń: studenci oceniani są na podstawie pisemnego kolokwium. Kolokwium składa się z pytańtestowych oraz zadań otwartych.zaliczenie wykładu: studenci oceniani są na podstawie pisemnego kolokwium w formie testu.

Student otrzyma ocenę pozytywną, jeżeli wykaże się podstawowym rozumieniem zagadnień (ma podstawową wiedzę)związanych z ekonomią i problemami współczesnych gospodarek na świecie.


Ocena końcowa jest średnią arytmetyczna ocen z ćwiczeń i wykładów. Jeśli wynik tej średniej nie daje jednoznacznejodpowiedzi co do oceny, wówczas przeważa ocena z egzaminu.

6 problemy współczesnej ekonomii (modern economics) Arytmetyczna

6problemy współczesnej ekonomii (modern economics)[ćwiczenia]

zaliczenie zoceną

6problemy współczesnej ekonomii (modern economics) [wykład] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

rachunkowość - podstawy (fundamentals of accounting)(PODSTAWOWE)


Nazwa kierunku:





1 2


dr PRZEMYSŁAW MUĆKO

EFEKTY UCZENIA SIĘ



wiedza

Student knows the basic source of law governing the conduct ofcorporate accounting

K_W07K_W09EP11

Student knows the scope and the general structure of the financialstatements

K_W07K_W09EP22

umiejętności

Student can classify resources and claims in the balance sheet anddetermine the result of the simplebusiness operations on the profit and loss account

K_U07K_U09EP31

Student can post business operations (balance sheet and incomeoperations) and recognizes their impact on the financial statementitems

K_U07K_U09EP42

kompetencje społeczneStudent can complement and improve their knowledge and skills K_K02EP51


Przedmiot: rachunkowość - podstawy (fundamentals of accounting)


11. The essence, the features and functions of accounting. The scope of accounting. Introduction toaccounting law 2

12. The overriding principles of accounting 2

13. The scope and importance of the financial statements 2

24. Assets and liabilities of the company and its classification. Equity. Balance sheet 2

15. Business operations. The impact of business operations on the components of the balance sheet 2

16. Documentation of business transactions 2

27. The account - construction and operation. Types of accounts. The principle of double-entrybookkeeping. Registration rules for balance sheet accounts 2

18. Income statement. Basic categories of profits - income, expenses, losses, gains 2

29. Principles of operation of the profit and loss accounts. Financial result and comparative variantfunction. 2

110. Control and Subsidiary Accounts. Trial balance. 2

111. Preparing a simplified balance sheet and profit and loss account for the basis of the trial balance 2

112. Examples of ethical dilemmas 2


11. The elements of the balance sheet and profit and loss account published by selected entities(assessment the initial requierment of knowledge and skills of students) 2

1/2

12. Definitions of accounting. Users of accounting information. Aim of finanancial reporting 2

13. Discussion of selected accounting regulations (management and supervisory boards,documentation, inventory, reporting deadlines, the importance of accounting policy, and charts ofaccounts)

2

14. The balance sheet structure and substance of the balance sheet items 2

15. Preparation and interpretation of the importance of the balance sheet position 2

16. Business operations and their documentation 2

17. The impact of transactions on the balance sheet 2

18. The principle of double-entry bookkeeping 2

19. Trial balance 2

110. Income, revenues and gains. Cost, expenses and loses. Principles of recognizing income. Recordingincome opreactions in accounting books 2

111. Financial performance. The preparation of the profit and loss account. 2

212. Comprehensive example 2

113. Understanding the importance of accounting information based on a simplified financialstatements (working with documents) 2

114. Verification of knowledge and skills (colloquia). 2

Cases studies, Analysis of source documents, Simulation methods, Group work, Multimedia presentationMetody uczenia się





EP3,EP4KOLOKWIUM

EP5ZAJĘCIA PRAKTYCZNE (WERYFIKACJA POPRZEZ OBSERWACJĘ)



The form and terms of credit:Students are assessed on the basis of written colloquium, including verification based on exercises for checking theability to prepare and interpret simplified financial statements, and records of business transactions (students canuse charts of accounts).The form and terms of the exam:a written examination testing the knowledge and skills of students in the recording various business transactionsand preparing basic financial statements. The examination covers the part of the test (about 40% of the points - themultiple-choice test and open-ended questions) and the registration and reporting tasks (about 60% of the points).Students may use during the examination charts of accounts.Rating:The student passes the exam, if he/she can post basic operations and the prepare balance sheet, and knows thebasic concepts of accounting basics.


Final grade:* Final grade is equal to the weighted average of the exam grade (75% weighted) and classes grade (25% weighted) -upon condition that both grade are at least satisfactory (3,0).

2 rachunkowość - podstawy (fundamentals of accounting) Ważona

2rachunkowość - podstawy (fundamentals of accounting) [wykład]

egzamin 0,75

2rachunkowość - podstawy (fundamentals of accounting)[ćwiczenia]

zaliczenie zoceną

0,25



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

rachunkowość w przedsiębiorstwie (accounting in enterprise)(KIERUNKOWE)


Nazwa kierunku:





2 3


dr MAGDALENA JANOWICZ

EFEKTY UCZENIA SIĘ



wiedza

student has the knowledge of the scope of the financial statements,reporting requirements, methods of preparation of financialstatements, the rules for reporting and audit of financial statements K_W09EP11

umiejętności

student is able to determine the impact of transactions on financialstatements K_U09EP21

students can prepare basic elements of a financial statement K_U09EP32

kompetencje społecznestudent is ready to evaluate solutions adopted by an economic entityin its financial statements

K_K02K_K04EP41


Przedmiot: rachunkowość w przedsiębiorstwie (accounting in enterprise)


11. The nature and objectives of financial reporting. Factors affecting the evolution of the financialstatements. The scope of the financial statements. Current trends in financial reporting (harmonizationand standarization processess)

3

12. Introduction to accounting valuation methods 3

23. Information content of the statement of financial position 3

44. The preparation of the statement of financial position - recognition and measurement of selected itemsof assets, liabilities and equity. Impairment loss. 3

25. Income statement 3

26. Framework for the preparation and interpretation of the statement of cash flows 3

17. Statement of changes in equity 3

18. Information content of the notes to financial statemants 3

19. Verification of the course effects 3


11. Elements of the financial statements of the selected entities (initial assessment of the knowledge andskills of students). Discussion of the objectives of the projects 3

42. The statement of financial position (balance sheet) - a case study. 3

33. Measurement and valuation of assets - a case study 3

24. Elements of the profit and loss account. Other comprehensive income. Comprehensive incomestatement. 3

25. Cash flow statement - definitions, type of activities. Direct and indirect method. 3

1/2

26. Statement of changes in equity. Notes to the financial statement. Limitations of the financialinformation provided by accounting. 3

17. The effect of economic events on the date presented in a financial statement. 3

Multimedia presentation, method of cases, simulation methods, the use of a computer program, the analysis ofsource documentsMetody uczenia się








The form and terms getting credit for the class:Students are assessed on the basis of written assignment, including verification based on exercises checking theability to prepare and interpret financial statements, and establish the influence of various transaction on thefinancial statements.

The form and terms of the verification of lecture effects:a written assessment testing the knowledge of students in preparing financial statements and establishing theinfluence of transactions on the financial statements. In a form of a few test questions. The examination of lectures isa part of the exercises examination.

The form and terms of the verification of exercises effects:a written examination testing the skills of students in preparing financial statements and establishing the changes infinancial statements in effect of transactions. The examination consists of the reporting tasks.

Rating:The student receives a sufficient assessment if they can post basic operations and prepare resulting balance sheet,can be drawn up on the basis of a simplified version of the balance sheet and profit and loss account, knows thebasic concepts of accounting in enterprise.

Every student has the right to have their grade increased by 0.5 grade point provided that they have been activeduring the classes, answering the teacher's questions and proposing solutions of the discussed problems.


Final grade:Final grade is equal to the weighted average of the classes grade (50% weighted) and lecture grade (50% weighted) -upon condition that both grades are at least satisfactory (3,0).

3rachunkowość w przedsiębiorstwie (accounting in enterprise)

Arytmetyczna

3rachunkowość w przedsiębiorstwie (accounting in enterprise)[wykład]

zaliczenie zoceną

3rachunkowość w przedsiębiorstwie (accounting in enterprise)[ćwiczenia]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

rachunkowość w zintegrowanych systemach informatycznych (accounting modules inintegrated information systems)(KIERUNKOWE)


Nazwa kierunku:





3 6


dr OLGA PILIPCZUK

EFEKTY UCZENIA SIĘ



wiedzaStudent has a basic knowledge of integrated computer systems usedin business organizations with special emphasis on accountingmodules.

K_W09EP11

umiejętności

Student can enter, edit, and analize the economic events in theaccounting IT modules. K_U09EP21

Student can prepare various statements using the accounting ITmodules. K_U09EP32

kompetencje społeczneStudent is ready to conduct business and social activities using theIIS

K_K01K_K05EP41


Przedmiot: rachunkowość w zintegrowanych systemach informatycznych (accounting modules in integrated information systems)


21. Information systems in business organizations: types, tasks, role. 6

22. International accounting software market overview 6

33. Cloud accounting software for small businesses 6

24. All inclusive integrated accounting systems 6

25. Invoice processing, e-invoicing modules 6

26. Processing of tax returns modules 6

27. The methods and procedures of accounting system choosing 6


21. An overview of accounting software 6

42. Invoice processing, e-invoicing software 6

23. Tax processing in information system 6

24. Records of fixed assets processing in information system 6

25. HR and payroll records processing in information system 6

36. Financial and accounting information analysis using Business Intelligence module. 6

Lectures with multimedia presentations, Laboratory classes with accounting softwareMetody uczenia się

1/2




EP1,EP2KOLOKWIUM

EP3,EP4SPRAWDZIAN

EP1PREZENTACJA



Lectures: The knowlede is checked on the basis of a written theoretical test and a presentation.Labs: The knowledge is checked on the basis of practical lab test.For a 3,0 student must obtain a minimum of 60% of test points.For a 4,0 student must obtain a minimum of 80% of test points.For a 5,0 student must obtain a minimum of 95% of test points.


The final grade of the course is an average of the grades obtained from the written test and lab test.

6rachunkowość w zintegrowanych systemach informatycznych(accounting modules in integrated information systems) Arytmetyczna

6rachunkowość w zintegrowanych systemach informatycznych(accounting modules in integrated information systems)[laboratorium]

zaliczenie zoceną

6rachunkowość w zintegrowanych systemach informatycznych(accounting modules in integrated information systems) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

rynkowe zachowania konsumentów (consumers behaviour)(PODSTAWOWE)


Nazwa kierunku:





3 5


dr MAŁGORZATA WIŚCICKA-FERNANDO

EFEKTY UCZENIA SIĘ



wiedza

Student knows the essence of the consumer behaviour. Studentexplains the importance of consumer behaviour as an importantfactor influencing the operation of the market entities. K_W04EP11

umiejętności

The student can search for solutions to the issues which arediscussed by using his knowledge and evaluate consumerbehaviour. He is involved in the implementation of team tasks andcan freely communicate in English in an international team.

K_U04K_U16K_U17

EP21

kompetencje społeczneStudent is ready to prepare and carry out consumer behaviour tasksand projects. The student has criticism of unfair market practicesdesigned to manipulate the consumer.

K_K01K_K02EP31


Przedmiot: rynkowe zachowania konsumentów (consumers behaviour)


21. Consumer Behaviour- introduction to the subject 5

22. Factors Influencing Consumer behaviour 5

23. Perception, Motivation and Personality 5

34. Group aspects of behaviour 5

25. Consumer as decision Makers 5

46. Consumer research 5


21. Consumer Behaviour: changes and development 5

32. The analysis of market environment Determinants of consumers' behaviour 5

33. The process of decision making 5

34. Consumer decisions 5

45. Consumer reaserch in selected markets 5

Multimedia presentation, discussion, case studies, group work, presentation of the project by the studentsMetody uczenia się

1/2








Lecture:Multiple choice test. At least makrs 3 out of 5 should be reached to qualifier for satisfactory grade.Class:Student's assessment is based on: coursework and activity in the class and skills presented in the classroom. Thestudent has to reach min marks 3 out of 5.


The final assessment will be calculated as the arithmetic mean of the lecture and classes.

5 rynkowe zachowania konsumentów (consumers behaviour) Arytmetyczna

5rynkowe zachowania konsumentów (consumers behaviour)[wykład]

zaliczenie zoceną

5rynkowe zachowania konsumentów (consumers behaviour)[ćwiczenia]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

seminarium dyplomowe (seminar)(KIERUNKOWE)


Nazwa kierunku:




fakultatywny semestr: 4 - język angielski (100%) ,semestr: 5 - język angielski (100%) ,semestr: 6 - język angielski (100%)

Status przedmiotu: Język przedmiotu:Rok: Semestr:2, 3 4, 5, 6



EFEKTY UCZENIA SIĘ



wiedza

has knowledge of how to choose a subject and formulate a goal andresearch hypotheses K_W06EP11

is familiar with available and useful research methods in the field ofeconomic sciences

K_W05K_W06K_W10

EP22

umiejętnościis able to create coherent texts, to construct chapters of his masterthesis from them and to formulate research conclusions

K_U05K_U06EP31

kompetencje społeczne understands the need for lifelong learning K_K02EP41


Przedmiot: seminarium dyplomowe (seminar)

Forma zajęć: seminarium

81. Basics of conducting scientific research methodology. Presentation of the form and content of themaster thesis 4

72. Selection of the master thesis topic according to interests and specialization 4

13. Presentation of the formal requirements for the master thesis 5

44. Preparation and presentation of esseys related to the topic of the thesis 5

25. Formulating and correcting the thesis chapters with regard to the topic, objective and scope of theresearch 5

46. Discussion on the choice of methods and formulating the chapter on the methodological aspects ofthe thesis 5

47. Presentation of the theoretical chapters of the thesis and their acceptance 5

48. Presentation and evaluation of gathered data, neccessary for constructing the empirical part of thethesis 6

39. Presentation of results and discussion of the conclusions of the conducted analytical research 6

410. Formulating and presentation of empirical part of the thesis 6

411. Final formulating of empirical part and overall thesis construction 6

Lectures, discussions, multimedia presentationsMetody uczenia się



EP1,EP2,EP3,EP4PRACA DYPLOMOWA


1/2




Passing in the form of an assessment of the prepared essay, outline and subsequent parts and the entire thesis


The grade for a course is equal to the grade for credit

4 seminarium dyplomowe (seminar) Nieobliczana

4 seminarium dyplomowe (seminar) [seminarium]zaliczenie zoceną







Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

socjologia (sociology)(OGÓLNOUCZELNIANE)


Nazwa kierunku:





1 1


dr KALINA KUKIEŁKO-ROGOZIŃSKA

EFEKTY UCZENIA SIĘ



wiedza

A student knows the sociological view on global processes andprocesses occurring in society.

K_W03K_W16EP11

A student has the basics of knowledge in microsociology regardinginterpersonal and group relationships K_W14EP22

umiejętnościA student can use English to describe and explain basic socialphenomena. K_U16EP31

kompetencje społeczneA student is aware that knowledge in economics should besupplemented with knowledge about social non-economic processesand phenomena.

K_K02EP41


Przedmiot: socjologia (sociology)


21. Sociology as a science and humanities, and its subject 1

42. Determinants of people's behavours: Culture 1

23. Culture, Power and Politics 1

24. Interactions and group dynamics 1

25. Social structure 1

36. Selected contemporary processes in a society and in a global-scale 1

Lecture with discussionMetody uczenia się





Passing the written test of the content provided during the lectures


Over 50% of the right answers to test questions - mark 3,0Over 60% of the right answers - mark 3,5Over 70% of the right answers - mark 4,0Over 80% of the right answers - mark 4,5Over 90% of the right answers - mark 5,0


Metodaobl. oceny

Waga dośredniej

1/2



1 socjologia (sociology) Nieobliczana

1 socjologia (sociology) [wykład]zaliczenie zoceną


2/2

S Y L A B U S

statystyka opisowa (descriptive statistics)(KIERUNKOWE)


Nazwa kierunku:





1 1


dr KRZYSZTOF DMYTRÓW

EFEKTY UCZENIA SIĘ



wiedza

Student knows the parameters describing the socioeconomiccharacteristics, their properties, measurement scales, student knowshow to describe dynamics and relationships.

K_W10EP11

Student knows the research methods in the social sciences andmethods of measurement specific for social and economic sciences. K_W06

K_W10EP22

Student knows the methods of presentation of the study of primaryand secondary data, taking into account characteristics of thepopulations and distributions.

K_W06K_W10EP33

umiejętności

Student is able to quantitatively describe the socio-economicphenomena on the basis of both primary and secondary data.

K_U06K_U10K_U15

EP41

Student is able to estimate strength and direction of relationships. K_U05K_U06K_U10

EP52

Student is able to describe dynamics of phenomena, use economicindices.

K_U05K_U10EP63


Student is ready to use results of surveys conducted by nationalstatistical institutes, including acknowledging the importance andconsequences of cooperation with public statistics institution. K_K02EP71


Przedmiot: statystyka opisowa (descriptive statistics)


21. Types of statistical surveys, definition of statistical unit, population and sample, statistical surveys;types of variables, measurement scales, methods of data presentation, measurement scales. Thestructure of mass processes.

1

32. One-dimensional populations, empirical distributions, moments and quantiles for metric scales,measures of central tendency, measures of dispersion, measures of asymmetry, measures of kurtosis. 1

43. Correlation coefficients, Chi2, variance equality. Multidimensional analysis, partial correlations.-dimensional populations, tables, ranks, types of relationships. 1

24. Empirical and theoretical regressions, the method of least squares for linear regression, measures ofregression fit. 1

25. Measurement of dynamics of economic and social phenomena. Time series, chronological mean.Analysis of shortterm changes, individual indices, the average rate of change, average absolute change.Aggregate indexes. Price indices. Aggregate indices for relative values.

1

26. Decomposition of time series, trend and seasonality. Linear and exponential trend. Additive andmultiplicative seasonality. 1


21. Statistics, populations, data, notation, tables and charts, measurement scales. Measures of centraltendency, dispersion, asymmetry. 1

1/3

22. Measures of kurtosis, concentration.Pearson correlation coefficients for the data in form of ranks andcorrelation tables, strength and direction of the relationship. 1

23. Empirical regression lines, correlation ratios. Linear regression, OLS estimation of parameters, testingthe regression fit. 1

24. Multiple and partial correlation.Analysis of short-term changes, individual indexes. Procedure ofaveraging changes over time. 1

25. Determination of trend and seasonality. 1

56. Assessment in writing (problem solving). 1


21. Statistics, populations, data, notation, tables and charts, measurement scales. Measures of centraltendency, dispersion, asymmetry. 1

32. Measures of kurtosis, concentration. Pearson correlation coefficients for the data in form of ranks andcorrelation tables, strength and direction of the relationship. 1

33. Coefficients based on Chi2 Pearson statistic. Empirical regression lines, correlation ratios. 1

24. Linear regression, OLS estimation of parameters, testing the regression fit. Multiple and partialcorrelation. 1

35. Analysis of short-term changes, individual indexes. Procedure of averaging changes over time. 1

26. Determination of trend and seasonality. 1

The course comprises lectures using (where appropriate) transparencies / presentations of research ofsocioeconomicphenomena and exercises - working individually and in groups.

Metody uczenia się









The form and terms of the lectures:

- Students are assessed on the basis of two or three written tests covering writing skills verification based onsolving tasks of choosing appropriate descriptive characteristics, their determination and interpretation ofdetailed series and aggregated data to a series of interval and correlation tables ( students during the tests canbenefit from standardized statistical tables). Each test must be passed for a minimum of 60%.

The form and terms of the exam:- a written examination testing the knowledge and skills of students (knowledge 80%, skills 20%) in the use ofparameters describing one-and two-dimensional structures and dynamic characteristics. The exam includesopen-ended questions relating to analytical examples in which student must demonstrate knowledge of theprinciples necessary to conduct analysis and knowledge of the property of statistical measures being used.During the exam students may use the standardized statistical tables and formulas.

The form and terms of the laboratories:A project to achieve the learning outcomes tested on practical skills and teamwork.


The final grade is a weighted average of the grades obtained from the lecture, classes and laboratories.

1 statystyka opisowa (descriptive statistics) Arytmetyczna

1 statystyka opisowa (descriptive statistics) [laboratorium]zaliczenie zoceną

1 statystyka opisowa (descriptive statistics) [wykład] egzamin

1 statystyka opisowa (descriptive statistics) [ćwiczenia]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/3


systemy mobilne (mobile systems)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr TOMASZ ZDZIEBKO

EFEKTY UCZENIA SIĘ



wiedza

has knowledge on tools and methodologies used to design mobiledevices

K_W08K_W13K_W15

EP11

has knowledge on designing mobile applicationsK_W08K_W13K_W15

EP22

umiejętności has ability to design and prototype mobile applications K_U08EP31

kompetencje społeczne can think out ways of monetizing mobile applications K_K01EP41


Przedmiot: systemy mobilne (mobile systems)


31. Usability and User Experience Design 4

22. Design for Mobile Constraints 4

23. Requirements specification 4

44. Application prototyping 4

25. Monetization of mobile apps

4

26. Presentations of group projects with discussion and evaluation 4

- project work- group work- solving tasks- application design, application prototyping

Metody uczenia się


EP1,EP2,EP3SPRAWDZIAN

EP1,EP3,EP4PROJEKT


1/2




Grade on laboratories is calculated as mean of- grade by performing exercises during classes ,- group project of mobile application design.


The final grade of the course is equal to final grade of laboratories

4 systemy mobilne (mobile systems) Nieobliczana

4 systemy mobilne (mobile systems) [laboratorium]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

systemy pozyskiwania danych (data acquisition systems)(KIERUNKOWE)


Nazwa kierunku:





2 3


dr DOMINIK ROZKRUT

EFEKTY UCZENIA SIĘ



wiedza

Student knows the structure and organization of public statistics inPoland and European Union. K_W11EP11

Student knows the official data sources and methods of theiracquisition. K_W10EP22

Student knows the statistical surveys programme of the publicstatistics in Poland. K_W01EP33

umiejętności

Student is able to define information needs, find and evaluate datasources.

K_U10K_U17EP41

Student is able to classify data and present tchem accordingly.K_U08K_U10K_U17

EP52

Student is able to use data acquisition techniques in order todiagnose economic processes.

K_U10K_U17EP63


Student is ready to use the results of surveys conducted bystatistical institutions, including acknowledging the importance andconsequences of cooperation with public statistics institution. K_K02EP71


Przedmiot: systemy pozyskiwania danych (data acquisition systems)


21. Definition of information, types and functions of information in economy. Economics of information.Information processes and data acquisition techniques. Types of statistical surveys. 3

22. Data structures. Electronic data exchange protocols. 3

23. State information infrastructure. Main resources of state information infrastructure. Functions of stateinformation systems. 3

2

4. The role of public statistics system in the state information infrastructure. Legal basis for thefunctioning of the public statistics system in Poland and the European Union. Structure and organizationof public statistics system in in Poland and the European Union. Structure and organization of publicstatistics system in Poland. European Statistical System.

3

25. Statistical research programme of public statistics, European statistical programme. 3

26. Information resources of international organizations. 3

37. Commercial data sources, domain information systems. Specialized data search tools. Assessment ofsources reliability and data quality. 3


21. Defining information needs. Searching for information resources. Examples of statistical databasessystems. 3

22. Methods of gathering, processing and storing data. Statistical meta information and para informationsystems. 3

1/2

23. Geographic Information System (GIS). 3

24. Information resources of Polish public statistics. 3

25. Information resources of international organizations: International Monetary Fund, World TradeOrganization, The Organisation for Economic Co-operation and Development, World Bank, Bank forInternational Settlements, United Nations.

3

26. Information resources of the commercial and domain databases. 3

37. Internet as a data source. Assessment of sources reliability and data quality. 3

The course uses lectures with (when needed) multimedia presentations of statistical surveys of socio-Metody kształcenia economic processes and lab classes based on individual and group work covering practicalassignmentsrelated to collecting, processing and storing data.

Metody uczenia się








Lectures: Written test (min. 60% of proper answers to pass).

Laboratories:Project - a project to achieve the learning outcomes tested on practical skills and teamwork.


The final grade is a weighted average of the grades received from the lecture and laboratories.

3 systemy pozyskiwania danych (data acquisition systems) Arytmetyczna

3systemy pozyskiwania danych (data acquisition systems)[wykład]

zaliczenie zoceną

3systemy pozyskiwania danych (data acquisition systems)[laboratorium]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

systemy wspomagania decyzji (decision support systems)(KIERUNKOWE)


Nazwa kierunku:





2 3


prof. dr hab. ZYGMUNT DRĄŻEK

EFEKTY UCZENIA SIĘ



wiedza

Student has basic knowledge in the area of methods and decisionsupport tools, that, on the basis of the analysis of qualitative andquantitative data, support managers at various levels of theenterprise management.

K_W10EP11

umiejętności

Student uses tools to analyze quantitative and qualitative data fordecision support.

K_U10K_U14EP31

Student can easily communicate in English in an international groupof people in order to carry out business tasks and projects K_U16EP42

kompetencje społeczneStudent is ready to broaden their knowledge to solve social andbusiness problems using decision models and decision supportsystems.

K_K02EP21


Przedmiot: systemy wspomagania decyzji (decision support systems)


21. The types of decisions at different levels of management, approaches for their formalization,information in decision-making, Decision Support Systems (DSS) - definitions, functions andcharacteristics of their components.

3

22. The process of decision-making situations modeling. Computer analysis of economic systems. 3

33. Study of the applicability of the software to support the digital modeling of economies and decision-making situations. The DSS, EIS MSS systems and the role of data banks, methods, models andknowledge in decision support. Integrated decision support system.

3

24. Problems of multidimensional structures mapping and hierarchical consolidation of the results indecision support systems. data warehouses in supporting the decisions. The usage of technology ETL,OLAP and Data Mining.

3

25. Business Intelligence technology and Business Intelligence applications in supporting themanagement and delivery of information. Characteristics of the BI market in the world and in Poland. 3

26. Corporate Performance Management systems and the use of web technologies in supportingdecisions in the company. 3

27. Artificial intelligence and expert systems as a class of systems based on the knowledge. 3


21. The division into groups of 2-3 persons for a description of the enterprise to which developed modelsand application of program tools will be applied. 3

42. Computer modeling of decision making problems based on qualitative and quantitative data relying onthe Naylor procedure. 3

33. Computer modeling of qualitative multi-criteria decision-making problems based on AHP (AnalyticHierarchy Process) and ELECTRE. 3

24. Design and generation of decision support analysis for the different management levels. 3

25. Examples of the use of the data warehouses. 3

1/2

26. Assessment. 3

Lectures with multimedia presentations. Laboratories carried out with the use of appropriate software applicationsand e-learning system.Metody uczenia się




EP1,EP2SPRAWDZIAN

EP3,EP4PROJEKT



Form and rules of assessmentLaboratories:Students are assessed on the basis of partial projects sent by the e-learning system. Such projects will be includedin the final project. Sub-projects will be built on the basis of substantive and technical knowledge (regarding skills ofusing the computer applications) gained in laboratories during the realization of the thematic blocks (30% points).Final project, expanded according to the guidelines provided in the lecture, will be presented by students in groups(40% points). Knowledge test will be carried out using the e-learning platform (30% points).Rating:- The student receives a satisfactory grade when he is familiar with elements of the decision-making process, thecategories of decisions and he can build a decision model based on the Naylor procedure using computer tools.- The student receives a good grade if he can also use selected domain computer tools in supporting decision.- The student receives a very good grade if he can also use this knowledge to build the concept of integrateddecision support system as application of the lecture theses.


Final grade of the course is calculated on the basis of the assessment grade (100%).

3 systemy wspomagania decyzji (decision support systems) Ważona

3systemy wspomagania decyzji (decision support systems)[wykład]

zaliczenie zoceną

0,30

3systemy wspomagania decyzji (decision support systems)[laboratorium]

zaliczenie zoceną

0,70



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

szkolenie BHP (occupational safety and health training)(INNE DO ZALICZENIA)


Nazwa kierunku:





1 1


mgr APOLONIUSZ KURYLCZYK

EFEKTY UCZENIA SIĘ




Forma zajęć:

Przedmiot:

Metody uczenia się






1 szkolenie BHP (occupational safety and health training) Nieobliczana

1szkolenie BHP (occupational safety and health training) [wykład]

zaliczenie



Metodaobl. oceny

Waga dośredniej

1/1

S Y L A B U S

szkolenie biblioteczne (library training)(INNE DO ZALICZENIA)


Nazwa kierunku:





1 1


mgr DOROTA TROCIUK

EFEKTY UCZENIA SIĘ




Forma zajęć:

Przedmiot:

Metody uczenia się






1 szkolenie biblioteczne (library training) Nieobliczana

1 szkolenie biblioteczne (library training) [ćwiczenia] zaliczenie



Metodaobl. oceny

Waga dośredniej

1/1

S Y L A B U S

technologie informacyjne (information technologies - IT)(KIERUNKOWE)


Nazwa kierunku:





1 1



EFEKTY UCZENIA SIĘ



wiedzaStudent has an understanding of the role of information in themodern economy K_W08EP11

umiejętnościuse of software applications (word processing, spreadsheet,presentation graphics) in business issues

K_U08K_U13EP21

kompetencje społeczneStudents can complement and improve the acquired knowledge andskills in the use of information technology K_K02EP31


Przedmiot: technologie informacyjne (information technologies - IT)


21. Role and importance of information in modern economy 1

42. Computer devices - principle and parameters of functionality 1

23. System software and utilities - examples, use, built-in tools 1

24. The process of computerization of organizations - models, available systems, types of licenses. 1

25. Environment of the Internet as a place to search, collect and share information 1

26. Safety of the use of information technology 1

17. Development trends of the Internet, telecommunication services and electronic devices in businessapplications 1


21. Fundamentals of operation systems 1

42. Text Editor - creating and editing documents, construction and formatting tables, formatting ofAutoShapes, text boxes, use of other implemented tools, working with a large document 1

43. Spreadsheet - introduction, interface, basic formulas, cell formatting, spreadsheet, charts, functions,import / export of data, the analysis of large data files, management decisions 1

34. Search tools, communication and sharing of information on the Internet, the process of synchronizingresources for personal time management 1

25. Presentation of information on the Internet - project 1

laboratory classes (solving practical tasks) based on Microsoft applications, open source solutions and networkapplications, multimedia presentationsMetody uczenia się


EP1,EP2KOLOKWIUM

EP2,EP3PROJEKT


1/2




Lectures:Written test (min. 60% of proper answers to pass).Laboratories:Practical test (50% weighting) - test achievement of learning outcomes in terms of skills. Test is a challenge forformatting and making calculations, analysis, and visualization of data in a given time during the course.Project (50% weighting) - a project to achieve the learning outcomes tested on practical skills and teamwork. Projectswill cover the proper preparation of the presentation on a chosen topic and the implementation of a given websitetheme.To pass the subject a student must obtain a minimum of 60% of points of practical test and project.


The final grade of the course is an average of labs and written test grades.

1 technologie informacyjne (information technologies - IT) Arytmetyczna

1technologie informacyjne (information technologies - IT)[laboratorium]

zaliczenie zoceną

1technologie informacyjne (information technologies - IT) [wykład] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2


tworzenie serwisów internetowych (websites design)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr GRZEGORZ SZYJEWSKI

EFEKTY UCZENIA SIĘ



wiedza

Student has the knowledge to be able to characterize the technologyused on the server side web K_W08EP11

Student has an understanding of key terms about semantic web,knowledge management and content management technologies K_W13EP42

umiejętności Student can implement a service project in CMS technology K_U14EP21

kompetencje społeczneStudent is ready to work in a team designed to service architecture. K_K01EP31


Przedmiot: tworzenie serwisów internetowych (websites design)


61. Basics of HTML and CSS. 5

22. Creating simple HTML/CSS document. 5

63. Using external frameworks and projects to create website. 5

44. Advanced use of Bootstrap framework. 5

65. Using stock templates and graphics. 5

66. Using CMS to create website. 5

Working with the code editor and other on-line tools on the computer.Metody uczenia się





Final grade depends on the prepared project evaluation and the quality of the project presentation.Complete website must be prepared and presented.


Project quality (general design, used methods, code structure) - 85%Presentation of the project - 15%

1/2



5 tworzenie serwisów internetowych (websites design) Nieobliczana

5tworzenie serwisów internetowych (websites design)[laboratorium]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

wnioskowanie statystyczne (statistical inference)(KIERUNKOWE)


Nazwa kierunku:





1 2


dr hab. CHRISTIAN LIS

EFEKTY UCZENIA SIĘ



wiedza

Student knows the properties of estimators describing populationstructure and parameters describing dependencies betweenvariables and properties of their distributions.

K_W08K_W10EP11

Student knows methods of obtaining estimators. K_W06K_W10EP22

Student knows the stages of verification of statistical hypotheses inthe social sciences. K_W10EP33

umiejętności

Student can choose model of estimation and make an estimation ofparameters describing the structure of the collectivity andinterdependence parameters, including model assumptions.

K_U06K_U10EP41


Student is able to carry out a verification of statistical hypothesesconcerning distribution parameters describing the structure ofpopulation and occurrence of dependencies.

K_K01K_K02EP51

Student appreciates the importance and consequences ofcooperation with the departments of public statistics in the studyconducted by a representative method.

K_K02EP62


Przedmiot: wnioskowanie statystyczne (statistical inference)


21. Transformations of random variables, linear transformations of variables with normal distribution.Nonlinear transformations of variables with normal distribution. 2

22. Sampling, simple samples. 2

33. Point estimation assumptions, estimators - their properties and distributions. Error of estimator.Estimates of estimators and errors of estimators. Interval estimation. 2

24. Methods of obtaining estimators - method of maximum likelihood, method of moments. 2

25. Concept and types of statistical hypotheses, I and II type error in the hypotheses verification, criticalregions of the tests. 2

26. Parametric tests, testing stages, test for the parameters describing structures, correlation andregression coefficients significance tests. 2

27. Nonparametric tests: tests of compliance with a hypothetical distribution, test of randomness, test oftwo structures compatibility (Kolmogorov-Smirnov) 2


61. Interval and point estimation in the structure analysis. Error and accuracy of estimation. 2

62. Interval and point estimation in the interdependence analysis. 2

23. The maximum likelihood method. The method of moments. 2

1/2

64. Verification of parametric hypothesis in the analysis of structures, tests of means, fractions, variance.Stages of verification of statistical hypotheses. The critical regions of tests. 2

45. Verification of parametric hypothesis in the analysis of interdependence. Tests of significance. 2

26. Nonparametric tests of empirical distributions compatibility with a normal distribution (Kolmogorovcompatibility tests), test of independence. 2

47. Assessment in writing (problem solving). 2

The course comprises lectures using (where appropriate) transparencies/presentations concerning random variablesand exercises - working individually and in groups.Metody uczenia się








Assessment form of exercises content:- Students are assessed on the basis of three written tests covering writing skills verification based on solvingpractical tasks of interval estimation and verification of parametric and nonparametric hypotheses according to thematerial provided on exercises (students can use standardized statistical tables and formulas). Coursework must beincluded for a minimum of 60%.Assessment form of lectures content:- written test concerning knowledge of the effects 01, 02, 03. This includes open-ended questions relating toanalytical examples related to research conducted by the Central Statistical Office by representative method (effect07), in which the student must demonstrate knowledge of the principles necessary to drive the estimation andverification of statistical measures. During the test students may use the standardized statistical tables and formulas.


The final grade is calculated as a weighted average of the final test and tutorial grades acquired by a student.

2 wnioskowanie statystyczne (statistical inference) Arytmetyczna

2wnioskowanie statystyczne (statistical inference) [ćwiczenia] zaliczenie z

oceną

2 wnioskowanie statystyczne (statistical inference) [wykład]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2


wspólny rynek europejski (common european market)(KIERUNKOWE)


Nazwa kierunku:





3 5



EFEKTY UCZENIA SIĘ



wiedzaStudents have a good overview of the political, legal andeconomical theoretical discussions within the field of marketintegration.

K_W01K_W02K_W03

EP11

umiejętnościStudents are able to carry out and solve practical cases andproblems regarding cross-national transactions of goods,services, labour and capital.


EP21

kompetencje społeczneStudents are ready to formulate their own ideas using their ownknowledge as well as expert knowledge.

K_K02K_K04EP31


Przedmiot: wspólny rynek europejski (common european market)


31. Formation and development of common and internal market. Free movement of goods, services,people and capital, influence of these four freedoms on the environment of the entrepreneurship in theEU.

5

22. Stages of EU Economic Integration - Constructing the Common Market 5

23. New EU member states on the internal market 5

24. Stages of EU Economic Integration - the Economic and Monetary Union (EMU) and its policy-making 5

25. Financing the European Union - the Community Budget 5

26. I European Union Horizontal Policies - Regional and Structural Policy 5

27. European Union Sectoral Policies - Common Agricultural Policy 5

combination of lectures, class discussions, presentations and case studiesMetody uczenia się



EP1,EP2,EP3PROJEKT


1/2




The final grade of the course will be based on their performance during regular lectures, data gathering and analysisproject.


The final grade of the course will be based on their performance during regular lectures, data gathering and analysisproject.

5 wspólny rynek europejski (common european market) Nieobliczana

5wspólny rynek europejski (common european market) [wykład] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2


wycena nieruchomości (real estate appraisal)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr hab. IWONA FORYŚ

EFEKTY UCZENIA SIĘ



wiedza

Student knows how to interpret process and result of real estatevaluation K_W16EP11

Student has the knowledge of methods of real estate valuation K_W16EP32

umiejętności Student is able to do real estate valuation K_U15EP21

kompetencje społeczneStudent is ready to use their knowledge and expert knowledge in realestate appraisal domain K_K02EP41


Przedmiot: wycena nieruchomości (real estate appraisal)


21. Who is real estate valuer? 5

22. Value of real estate 5

43. Comparison approach 5

34. Income capitalization approach 5

25. Cost approach 5

26. Mixed approach 5


41. Comparison approach - tasks 5

42. Income capitalization approach - tasks 5

33. Cost approach - tasks 5

44. Mixed approach - tasks 5

Multimedia presentation and taksMetody uczenia się





1/2




Lecture: TestExercise: Real Estate Valuation Raport


The final grade of the course is average grading of lectures and laboratory exercises.

5 wycena nieruchomości (real estate appraisal) Arytmetyczna

5 wycena nieruchomości (real estate appraisal) [wykład]zaliczenie zoceną

5wycena nieruchomości (real estate appraisal) [laboratorium] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

wychowanie fizyczne (physical education)(OGÓLNOUCZELNIANE)


Nazwa kierunku:




fakultatywny semestr: 3 - język polski, semestr: 4 -język polski

Status przedmiotu: Język przedmiotu:Rok: Semestr:2 3, 4


mgr CEZARY JANISZYN

EFEKTY UCZENIA SIĘ




Forma zajęć:

Przedmiot:

Metody uczenia się






3 wychowanie fizyczne (physical education) Nieobliczana

3wychowanie fizyczne (physical education) [zajęcia z wychowaniafizycznego]

zaliczenie zoceną

4 wychowanie fizyczne (physical education) Nieobliczana

4wychowanie fizyczne (physical education) [zajęcia z wychowaniafizycznego]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

1/1

S Y L A B U S

zarządzanie finansami przedsiębiorstw (corporate finance management)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr AGNIESZKA PREŚ-PEREPECZO

EFEKTY UCZENIA SIĘ



wiedza

The student knows the rules of strategic and operational financialmanagement

K_W07K_W09EP11

The student knows the impact of financial and investment decisionson corporate value creation

K_W07K_W09K_W10

EP22

The student knows methods and tools of liquidity assessment,working capital and cash management,

K_W07K_W09K_W10

EP33

umiejętności

The student is able to analyze costs and benefits of capitalsources

K_U07K_U09K_U10

EP41

The student is able to analyze the impact of the financial andinvestment decisions on the value creation

K_U07K_U09K_U10

EP52

The student is able to prepare the cash budget and the demand forexternal financing

K_U07K_U09K_U10

EP73

The student is able to complete and improve the knowledge andskills K_U18EP104

kompetencje społeczne The student is ready to think creatively K_K01K_K04EP91


Przedmiot: zarządzanie finansami przedsiębiorstw (corporate finance management)


11. The needs, objectives and complexity of corporate financial management 5

12. The legal form, size of the company and access to sources of capital. 5

23. Financial and investments decisions and the value creation. 5

24. Dividend policy in practice 5

25. Corporate restructuring - managing in the crisis 5

26. Mergers and acquisitions 5

17. The assessment of liquidity and the risk of its loss. 5

28. Working capital and cash management 5

19. Budgeting and reporting - key areas in operational management finances 5

1/2

110. Financial risk management 5


31. Costs and benefits of capital sources - case study 5

22. Case studies of sources of value creation 5

33. Measuring value creation in examples 5

24. The assessment of liquidity and the risk of its loss 5

35. Working capital and cash management 5

26. Financial risk management in examples 5

Multimedia presentation,calculations, case studies, discussion,Metody uczenia się









Assessment of lectures:Kolokwium: a written single choice test (max 30 questions)

Assessment of classes:Sprawdzian: a written test in solving 4 or 5 examples

The final grade of lectures: a correct reply to a question in a written test min 50%.The final grade of classes is a weighted average and consists of:80% positive solution of examples (min 50% correct)20% current verification of knowledge and skills during the course.


The final grade of the course is the avarage of lectures and classes.

5zarządzanie finansami przedsiębiorstw (corporate financemanagement)

Arytmetyczna

5zarządzanie finansami przedsiębiorstw (corporate financemanagement) [ćwiczenia]

zaliczenie zoceną

5zarządzanie finansami przedsiębiorstw (corporate financemanagement) [wykład]

zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

zarządzanie informacją (information management)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr KAROLINA MUSZYŃSKA

EFEKTY UCZENIA SIĘ



wiedza

Student knows the concepts of information, knowledge, informationmanagement cycle, information architecture and methods ofprocessing and protecting data as well as databases, datawarehouses and content information systems

K_W08K_W13EP11

Student knows different information systems used in organizationsand IT professionals responsible for information management inorganizations

K_W08K_W13K_W15

EP22

umiejętnościStudent can design the structure of a database, implement and use itwith the support of appropriate tools

K_U08K_U12K_U16

EP41

kompetencje społeczneStudent is ready to supplement their knowledge regardinginformation management and use it to support organizations insolving information management problems

K_K02EP51


Przedmiot: zarządzanie informacją (information management)


21. Importance of information in organizations management 5

22. Structure of the information system of an organization 5

43. Techniques of data collection in organizations (databases, data warehouses, content managementsystems) 5

24. Techniques for processing and analysis of information 5

25. Data sharing techniques in IT solutions of organizations 5

26. Introduction do databases and database management system 5

47. Defining database structure (tables, relationships) - exercises 5

108. Constructing queries, designing forms and reports - exercises 5

29. Summary of knowledge on information management and overview of developed projects 5

online presentations developed jointly by students, online tutorial regarding database creation and managementMetody uczenia się


EP1,EP2KOLOKWIUM

EP4,EP5PROJEKT


1/2




Student is evaluated on the basis of a written test and a project of designing and implementing a database.


The final grade is an arithmetic average of the test and the project grades.

5 zarządzanie informacją (information management) Nieobliczana

5zarządzanie informacją (information management) [laboratorium] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

zarządzanie kapitałem ludzkim (human capital management)(PODSTAWOWE)


Nazwa kierunku:





3 6


dr hab. MAREK KUNASZ

EFEKTY UCZENIA SIĘ



wiedza

student knows the rules of recruitment of employees, theirevaluation, motivation, development, teamwork and dismissal K_W12EP11

student knows the rules of functioning of the HR department K_W12EP22

umiejętności

student is able to analyze business environment and changes in it K_U11EP31

student has the ability to apply in practice Human ResourcesManagement tools K_U11EP42

student has the ability to determine the HR strategy K_U11EP53

kompetencje społecznestudent is ready to widen the knowledge about Human ResourceManagement in organization K_K02EP61


Przedmiot: zarządzanie kapitałem ludzkim (human capital management)


21. Conception of Human Resource Management

6

32. The creation of human capital in organization

6

23. Planning, recruiting and selecting employees

6

24. Development of employees in the organization

6

25. Employee motivation

6

26. Employee assessment, Performance appraisal

6

27. Credit

6

lecture, case study, simulations solved in groups, exercisesMetody uczenia się



EP4,EP5,EP6PRACA PISEMNA/ ESEJ/ RECENZJA

EP4,EP5,EP6PROJEKT


1/2




The final grade of the course is calculated as follows: result of the colloquium (50%) (descriptive questions), result ofpractical exercises used for checking skills of the use of knowledge to solve real problems of human resourcesmanagement, and practical exercises are check by prepared reports (approx. 30% of points), result of the own project(20%) - pass degree will get students, which got 60% of points, 3,5 - 70%, 4,0 - 80% of points, 4,5- 90%, 5,0 -95% ofpoints


The final grade of the course is calculated as follows: result of the colloquium (50%), reports (approx. 30% of points),own project (20%)

6zarządzanie kapitałem ludzkim (human capital management)

Ważona

6zarządzanie kapitałem ludzkim (human capital management)[wykład]

zaliczenie zoceną

1,00



Metodaobl. oceny

Waga dośredniej

2/2


zarządzanie nieruchomościami (real estate management)(KIERUNKOWE)


Nazwa kierunku:





3 5


dr ANNA GDAKOWICZ

EFEKTY UCZENIA SIĘ



wiedza

Student has the knowledge of legal regulations in the field of realestate management K_W16EP11

Student gets familiar with the specific real estate resourcemanagement K_W16EP22

Student has the knowledge about the tools supporting the work ofproperty manager K_W10EP33

umiejętności

Student has the ability of organizing the office of a property manager K_U07EP41

Student has the ability of preparing the documents necessary toestablish a residential community K_U15EP52

Student is able to work in a group, carry out assigned tasksresponsibly K_U18EP83


Student ie ready to use available research results conducted byinstitutions and industry organizations, recognizing the importanceof the cooperation of these organizations and sharing information K_K02EP71


Przedmiot: zarządzanie nieruchomościami (real estate management)


21. Definition of a real estate. Types and characteristics of real estates 5

22. Object of management, legal regulations on real estate resources (State Treasury, local governmentunits, private individuals) 5

23. Management of housing resources (residential communities, housing cooperatives) 5

24. Management of real estate resources of other entities 5

25. Management of non-residential properties 5

36. Tools supporting the work of the property manager 5

27. Management contract 5


21. Organization of the office of a property manager. Organizational forms of running a business 5

22. Formal and organizational preparation of a property managers office - a project of running a business

5

23. Establishing a residential community - simulation 5

1/2

24. Statute of a residential community - project 5

25. Market analysis for real estate management 5

26. Taking real estates over for management 5

27. Methods of creating real estate management plans 5

18. Final test 5

Multimedia presentation, method of cases. Simulation methods, group work, analysis of sourcedocumentsMetody uczenia się





EP4,EP5,EP7,EP8ZAJĘCIA PRAKTYCZNE (WERYFIKACJA POPRZEZ OBSERWACJĘ)



Form and terms of examination:- Students' knowledge is assessed on the basis of a written test in the form of a multiple choice test. Evaluation of thetest accounts for 60% of the final grade. A necessary condition for completing the course, with the weight of 0.40, isthe work carried out in groups during laboratory classes.


The final grade of the course is calculated as follows:- A student receives a sufficient grade if his test result is assessed for a minimum of 60%, and all of the individualtasks carried out during laboratory classes are done- A student receives a good grade if his test result is assessed for a minimum of 80%- A student receives a very good grade if his test result is assessed for a minimum of 95%.

5 zarządzanie nieruchomościami (real estate management) Ważona

5zarządzanie nieruchomościami (real estate management)[ćwiczenia]

zaliczenie zoceną

0,40

5zarządzanie nieruchomościami (real estate management)[wykład]

zaliczenie zoceną

0,60



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

zarządzanie pracą zespołową (team work management)(KIERUNKOWE)


Nazwa kierunku:





1 1


dr SANDRA MISIAK-KWIT

EFEKTY UCZENIA SIĘ



wiedza

Student explains essence, role and main features of teams anddistinguishes teams from groups.

K_W11K_W12K_W14

EP11

Student describes factors that determine effective teamwork K_W12K_W14EP22

umiejętności

Student identifies problems occurring during teamwork andproposes solutions K_U18EP31

Student prepares written assignments on the topic of teamwork K_U16K_U17EP42

kompetencje społeczneStudent is ready to formulate their own ideas and prepare projects. K_K01

K_K04EP51


Przedmiot: zarządzanie pracą zespołową (team work management)


21. The essence of teamwork 1

32. Teamwork building blocks 1

23. Teamwork development 1

24. Leadership in teams 1

25. Problem solving and decision making in teams 1

26. Team effectiveness 1

27. Communication and conflict management in a team 1

Lecture with presentations and group discussion., Case study analysis., Simulations - games and exercisesconsidering communication, creativity, problem solving in smaller and bigger teams (learning by doing andobserving)

Metody uczenia się


EP1,EP2KOLOKWIUM



1/2




Case study on topic: "Effective teamwork" based on articles from "Harvard Business Review" and selected exampleof a team - written assignment and presentation - 60%Class assignments and case studies - 10%Final test - 30%


The final note is the note obtained on the classes.

1 zarządzanie pracą zespołową (team work management) Ważona

1zarządzanie pracą zespołową (team work management) [wykład] zaliczenie z

oceną1,00



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

zarządzanie projektami (project management)(KIERUNKOWE)


Nazwa kierunku:





3 6



EFEKTY UCZENIA SIĘ



wiedzaStudent has knowledge about system and object lifecycle problemsin the area of software engineering. K_W13EP11

umiejętnościStudent has ability to plan, to schedule and to implement systems orprocesses using proper methods and techniques

K_U12K_U17EP21

kompetencje społeczneStudent is ready to prepare projects and cooperate within a groupand be its leader.

K_K01K_K03EP31


Przedmiot: zarządzanie projektami (project management)


21. Introduction to Project management 6

32. Scope management in projects

6

23. Time management in projects 6

44. Cost management and project finance 6

25. Risk management in projects 6

26. Project tracking and controlling 6


21. IT Project Scheduling 6

32. Development of Work Breakdown Structure (WBS) 6

23. Time analysis using Critical Path Method 6

24. Resource definition and assignment 6

25. Cost management and project budgeting 6

26. Using IT application (MS Project) to support Project management 6

27. Project tracking 6

Project developmentWorking in groupsCase studiesLectures with visual techniques

Metody uczenia się

1/2




EP1,EP2,EP3PROJEKT



The grade for both the lecture and the laboratories depends on the following factors:Evaluation of the project developed in MS Project - (30 %)Evaluation of the Project Control Book - (60 %)Formal Presentation of the Project Control Book - (10%)To get a pass student has to be able to develop a project and to analyze it.


The final grade is the arithmetic average of grades obtained from the lecture and laboratories.

6 zarządzanie projektami (project management) Arytmetyczna

6 zarządzanie projektami (project management) [wykład]zaliczenie zoceną

6zarządzanie projektami (project management) [laboratorium] zaliczenie z

oceną



Metodaobl. oceny

Waga dośredniej

2/2


zarządzanie ryzykiem (risk management)(KIERUNKOWE)


Nazwa kierunku:





2 4



EFEKTY UCZENIA SIĘ



wiedza Student knows basic methodology of risk management

K_W01K_W06K_W07K_W10

EP11

umiejętnościStudent can make an analysis of company activity in pattern of riskand methods of avoiding the risk


EP21

kompetencje społeczneStudent is ready to cooperate within an international group of peoplein order to carry out businesstasks and projects.

K_K01EP31


Przedmiot: zarządzanie ryzykiem (risk management)


21. Risk - definitions and classifications 4

22. The risk management process 4

13. Risk management objectives vs. goals of the enterprise 4

24. Identification of risks in business 4

25. The risk assessment 4

26. Composure risk 4

27. The financing and insurance risk 4

28. Risk management in practice 4


21. Risk - definitions and classifications, the risk management process 4

22. Risk management objectives vs. goals of the enterprise 4

23. Identification of risks in business 4

24. The risk assessment 4

25. Composure risk 4

1/2

26. The financing and insurance risk 4

37. Risk management in practice 4

Main form of knowledge transfer is lectures with case studies. The main way of excercises is case studies solving,also discussions and solving exercises in e-learning system.Metody uczenia się








For checking the knowledge of the basic principles of the risk management will be checked.:- The student receives a satisfactory grade - if he can provide some basic definitions of terms risk management.- The student is given a score good - when also can define the basic relationships occurring in process of riskmanagement in the company.- The student receives a very good - if also able to predict the likely impact of events taking place in the environmentof the company and its impact on firm's activities.


The final grade of the course is calculated on the basis of case studies solving and answering open questions.- Students are assessed on the basis of a written examination covering the verification of knowledge based on casestudies ( 50% points) and theory ( 50% points - assesess in e-learning system).The methods of calculating final grade is arithmetic average.

4 zarządzanie ryzykiem (risk management) Arytmetyczna

4 zarządzanie ryzykiem (risk management) [wykład]zaliczenie zoceną

4 zarządzanie ryzykiem (risk management) [ćwiczenia]zaliczenie zoceną



Metodaobl. oceny

Waga dośredniej

2/2

S Y L A B U S

zastosowania pakietów statystycznych (statistical software applications)(KIERUNKOWE)


Nazwa kierunku:





2 4


dr hab. CHRISTIAN LIS

EFEKTY UCZENIA SIĘ



wiedza

Student is aware of advantages and disadvantages of using selectedstatistical software K_W08EP11

Student knows methods and tools in the processing and storage ofinformation, and is able to prepare and analyse statistical data K_W06

K_W10EP22

Student knows assumptions, methods and tools of economicphenomena forecasting

K_W08K_W10EP33

umiejętności

Student is able to use his knowledge about statistical softwareapplications such as Analysis ToolPak, Statistica in order to analysereal economic phenomena and processes

K_U06K_U10EP41

Student is able to analyse causes and course of economicphenomena using statistical software applications such as AnalysisToolPak, Statistica in the right way

K_U10EP52

Student is able to forecast economic phenomena using statisticalsoftware applications such as Analysis ToolPak, Statistica in theright way

K_U10EP63


Student understands the need of continual learning because ofpermanent computer tools and statistical software development K_K02EP71

Student realizes that the statistical software is highly important inreal economic applications K_K02EP82


Przedmiot: zastosowania pakietów statystycznych (statistical software applications)


41. Methods of distribution analysis for economic variables, using statistical software called AnalysisToolPak (in Excel). Statistical data preparing and analysis with the use of tools such as Histogram,Descriptive Statistics, Rank and Percentile.

4

42. Regression and correlation analysis for economic variables, using Analysis ToolPak's tools such asCovariance, Correlation, Regression. 4

2

3. The probability determining for selected distributions of random variables and statistical hypothesisverification with the use of Analysis ToolPak's tools such as Random Number Generation, Sampling,Variance Analysis - Anova: Single Factor, Anova: Two-Factor with Replication, Anova: Two-Factorwithout Replication, F-test Two Sample for Variance, t-test: Paired Two Sample for Means, t-test: Two-Sample Assuming Equal Variances, t-test: Two-Sample Assuming Unequal Variances, z-test: TwoSample for Means.

4

44. Statistica for Windows using in the distribution analysis for economic variables. Applications ofmodules: Basic Statistics/Tables, Nonparametrics, Distribution Fitting, Probability Calculator. 4

4

5. Advanced linear and nonlinear models in the regression analysis. Applications of modules: GeneralLinear Models, Generalized Linear/Nonlinear Models, Nonlinear Estimation. Methods of nonlinearestimation: Gauss- Newton method, Levenberg-Marquardt method, quasi-Newton method, Hooke-JeevesPattern Moves, Simplex Procedure, Rosenbrock Pattern Search.

4

46. Time Series Analysis. Using of Statistica module Time series and forecasting. Census I and Census II(X11/Y2k) - methods of seasonal decomposition. 4

1/2

27. Methods of the econometrical modelling. Another using of Statistica module Time series andforecasting: trend analysis, analysis of seasonality and exponential smoothing models. 4

28. Measuring the similarity. Multidimensional comparative analysis in market research (marketsegmentation and product positioning). Cluster analysis, factor analysis, classification trees, k-meanmethod and multidimensional scaling. Application of GDM in R software environmental.

4

49. Measuring the similarity II. Examples of neural network application in regression and classificationproblems. 4

010. Estimation in terms of the random component autocorrelation and heteroskedasticity. Generalizedleast squares method in Gretl. 4

011. End-term test and the presentation of project 4

Education methods: A short introduction to the lesson as a multimedia presentation (15-20 min.),explaining the main goal of laboratories and problems to sort out. The rest of lessons - computer work supervised byteacher.

Metody uczenia się




EP1,EP2,EP3,EP4,EP5,EP6SPRAWDZIAN

EP7,EP8PROJEKT



End-term test: Multiple-choice test Project: individual work on the real economic problem that needs to sort out usingof advanced statistical computer software. Project is designed to verify student's knowledge and skills described inproper areas above. Assessing: The final note (mark) is determined by two component marks: from test and project.In order to pass the course student should obtain at east 60% of total points in each area: test and projectindependently.


The final note is a weighted average note taken from test and project. Weight for the test is 0,4 (weight wt=0,6) and forthe individual Project 0,6 (weight wp=0,4), which means that the final grade of the course is determined by equation:L(%) = wt*lt+wp*lp, where lt and lp is a percent of total points accordingly from test and project.

4zastosowania pakietów statystycznych (statistical softwareapplications)

Ważona

4zastosowania pakietów statystycznych (statistical softwareapplications) [laboratorium]

zaliczenie zoceną

1,00



Metodaobl. oceny

Waga dośredniej

2/2

SYLLABUS ANALYSIS OF COMPANIES ON STOCK MARKET

course id: US73AIIJ2439_72S

Nazwa przedmiotu / Course name: ANALYSIS OF COMPANIES ON STOCK MARKET

Nazwa kierunku / Study area: ECONOMIC AND LEGAL

Forma studiów / Form of studies: IInd degree (master), Full time

Profil studiów / Study profile: General Academic

Specjalność / Specialization:

Rok / Academic year: 2

Semestr / semester: 4

Status przedmiotu / course status: obligatory

Język przedmiotu / course language: English

Koordynator przedmiotu Course Coordinator

Dr hab. Sebastian Majewski

Prowadzący zajęcia/ Lecturer

Dr hab. Magdalena Zioło

Cel przedmiotu / Purpose of the subject matter

To acquaint the student with the methods of analysis of stock companies, principles of using individual methods and the effects of their use. Obtaining knowledge and skills in the field of technical analysis and fundamental analysis on financial markets. Indication of investment opportunities in securities with using technical and fundamental analysis methods. Indication of the benefits of short-term investing as a part of technical analysis methods. Paying attention to the special role and importance of internal values of the action, external and internal factors, quantitative and qualitative in creating fundamental strength of entities and creating value by listed companies.

Wymagania wstępne/ Prerequisites

1. The student knows the economic and financial issues, including processes on the financial market, has basic knowledge in mathematics, statistics, econometrics and economics. 2. Student is able to search for logical interdependencies between socio-economic and financial phenomena and to use Excel. 3. The student is able to work independently and in a group, has the habits of lifelong learning, is prepared for the analysis and assessment of phenomena occurring on financial market. 4. Ability to read and understand logical reasoning

EFEKTY UCZENIA SIĘ / LEARNING OUTCOMES

Kategoria / Category

L.p. / No.

Opis efektu / Outcome description

KNOWLEDGE

EP01

EP02 EP03

Knows the theoretical basics of investing in capital market, its essence, purpose and scope. EP2Knows analytical tools in the field of processes on the financial market, which refers to financial instruments and other economic and financial variables being analysed. Knows the basic methods of investing in different time horizons and related methods of assessing investment profitability and measuring and assessing risk, knows the concepts associated with the creation of fundamental strength entities (in classic terms and non-classical) and creation of intristic value.

SKILLS

EP04 EP05

Is able to formulate a research problem independently in the field of investment process using the methods of fundamental and technical analysis and lead to its solution. Can determine the internal value of the company and its fundamental strength and determine the usefulness of these elements at different levels of aggregation, both in the investment process and diagnosis of companies.

SOCIAL COMPETENCES

EP06 He is ready to participate in various types of projects.

TREŚCI PROGRAMOWE / COURSE PROGRAM

L.p. / No.

Treści / Content semestr / semester

liczba godzin

/ Hours

Forma zajęć: wykład / Type of classes: lecture 15

1 Theoretical framework of fundamental analysis 4 2 2 Internal and external factors and quantitative and qualitative factors in

fundamental analysis 4 2

3 Macro-environment, industry and indicator analysis 4 2 4 Company value, intristic value and company valuation 4 2 5 Elements of portfolio analysis 4 3 6 Technical analysis and introduction to behavioral analysis 4 4

Forma zajęć: ćwiczenia / Type of classes: exercises 15

1 Fundamental analysis of stock listed companies 4 5 2

Basic models of portfolio analysis: Markowitz, Sharpe and APT and CAPM models

4 4

3 Analyses of stock listed companies based on technical and behavioral analysis tools

4 4

4 Verification of students' knowledge and skills 4 2 Metody uczenia się / Teaching methods:

Lecture related to commenting on current phenomena observed on the capital market

Metody weryfikacji efektów uczenia się / Methods of verification of learning outcomes

Nr efektu uczenia się z sylabusa /

The number of learning outcome from syllabus

Colloquium (written test) verification by observation

EP1, EP2, EP3, EP4, EP5, EP6

Forma i warunki zaliczenia / Form and conditions of completion

Assessment of classes: test consisting of 4 tasks. The assessment rules are as follows: - satisfactory 50%, - satisfactory plus 65%, - good 75% - good plus 85% - very good from 90%. Assessment of lectures: colloquium consisting of 4 open questions. Grading rules are as follows: the following: - satisfactory 50%, - satisfactory plus 65%, - good 75% - good plus 85% - very good from 90%. The student receives a satisfactory grade - when is able to apply the indicated technical and fundamental analysis tools, is able to formulate the formulas for application appropriate technical and fundamental analysis tools however, has a problem with the correct interpretation of the results obtained.

Zasady wyliczania oceny z przedmiotu / The calculation of a final grade

The final grade is the arithmetic average of the colloquium from the lectures (theoretical part - weight 0.6) and the colloquium from the classes (task part - weight 0.4). Both forms must be passed a minimum satisfactory mark.

Metoda obliczania oceny końcowej / The method of calculating final grade

Semester

Przedmiot / Course Rodzaj

zaliczenia / Type of exam

Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

4 Analysis of Companies on Stock

Market

weighted average


Market (lecture)

Graded credit 0,6


Market (exercise)

Graded credit 0,4

Literatura

podstawowa /Basic

literature

1. Dhankar, Raj S. Capital Markets and Investment Decision Making, Springer

2019

2. Edwards Robert D., Technical Analysis of Stock Trends, Taylor & Francis Ltd 2018

3. Carter Matthew G.Technical Analysis: Learn to Analyse the Market Structure and Price Action and Use Them to Make Money with Tactical Trading Strategies, CreateSpace 2018

4. Esme Faerber, All About Value Investing, McGraw-Hill, 2013 5. Zvi Bodie, Alex Kane, and Alan J. Marcus, Investments (10thed.), Irwin, 2014

Literatura uzupełniająca / Supplementary

literature

NAKŁAD PRACY STUDENTA / STUDENT WORKLOAD

Łączny nakład pracy studenta w godz. /

Total workload in hours

75

Liczba punktów ECTS /

Number of ECTS

3

SYLLABUS BEHAVIOURAL FINANCE


Nazwa przedmiotu / Course name: BEHAVIOURAL FINANCE

Nazwa kierunku / Study area: Finance and Accounting


Profil studiów / Study profile: General academic




Status przedmiotu / course status: Obligatory



dr hab. Sebastian Majewski, prof. US


dr hab. Sebastian Majewski, prof. US


Getting familiar students with basic issues of behavioural finance, the use of psychology, sociology and other social sciences in finance.


Knowledge of basic of finance and financial markets.



L.p. / No.


KNOWLEDGE

EP01

EP02

The student knows elementary concepts and theories in the field of behavioural finance, such as the perspective theory or heuristics, and can describes anomalies in the financial markets. The student knows and understands the importance of psychological factors in decision-making processes in finance.

SKILLS

EP03 EP04 EP05 EP06

The student is able to apply the basic theoretical knowledge of behavioural finance in everyday life practice. The student has the ability to understand and analyze events on the financial market, including behavioral elements is able to work in a group in which he expresses his views in a correct, consistent and logical manner shows willingness to improve his knowledge and skills in behavioural finance.

SOCIAL COMPETENCES

EP07

The student shows willingness to work in groups, in which expresses his or her views in a correct, coherent and logical way, solves tasks, interprets the behaviour of individuals in terms of behavioural finances.


L.p. / No.


liczba godzin

/ Hours

Forma zajęć: wykład / Type of classes: lecture

1 Behavioural finance In economic sciences 1 3

2 The psychological significance of money. Attitudes towards money. 1 3

3 The perspective theory 1 2

4 Rationality and efficiency 1 2

5 The importance of heurists in financial decision-making process 1 2

6 Anomalies and economic phenomena in finance 1 2

7 The role media in the value creating 1 2

15

Forma zajęć: ćwiczenia / Type of classes: laboratory

1 Measurement of propensity to risk - an experiment. Analysis of results in the light of Neumann-Morgenstern utility theory

1 2

2 Perspective theory. Analysis of applications in various aspects of social life and economic activity

1 2

3 Market efficiency and anomalies – measurement and interpretations 1 2

4 Heuristics – empirical analysis 1 2

5 Turbulences on financial markets in the light of behavioural finance - analysis using stock market data

1 2

6 The elements of game theory in assessing of decisions rationality 1 2

7 Applying behavioural finance theory to financial decisions using the 'First million' game.

1 3

15

Metody uczenia się / Teaching methods:

Lecture using multimedia techniques, discussion, group work, case study, computer game "The First Million" - BankLab laboratory




1. Test 2. Work in groups during exercises 3. Exam

EP01, EP02, EP05 EP06,EP07

EP01, EP02,EP03,EP04, EP05


A credit for the exercises in a written form including a theoretical question (50%) and an The basis for passing in the exercises is to obtain a positive mark of the test and activity during classes, including: participation in discussions, group work, solving case studies. The condition for participating the exam is obtaining a positive mark from the exercises. The exam takes place in a written form.


The final grade in the course is the examination grade.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

1 Behavioural finance weighted average

1 Behavioural finance (Lecture)

Exam 1

1 Behavioural finance (Laboratory)

graded credit 0

Literatura

podstawowa /Basic

literature

1.Kahneman D., Tversky A., (1979) Prospect Theory: An Analysis of Decision under Risk, Econometrica, Vol. 47, No. 2, pp. 263-291. 2.Rabin M., (1996) Psychology and Economics, Department of Economics University of California, Berkley 3.Shefrin H., (2002) Beyond Greed and Fear. Understanding Behavioral Finance and Psychology of Investing, Oxford University Press, Oxford, New York 4.Shiller R., (2001) Irrational Exuberance, Broadway Books, New York


literature

1.Tversky A., Kahneman D., (1974) Judgement under Uncertainty: Heuristics and Biases, Science, New Series, Vol. 185, No. 4157, pp. 1124-1131. 2."Behavioral Economics: Past, Present, and Future." Richard H. Thaler; American Economic Review, 2016, 106(7), pp. 1577-600. 3."From Homo Economicus to Homo Sapiens." Richard H. Thaler; Journal of Economic Perspectives, 2000, 14(1), pp. 133-41.




100


Number of ECTS

4

SYLLABUS DATA MANAGEMENT

course id: US21AIIJ2717_15N

Nazwa przedmiotu / Course name: DATA MANAGEMENT

Nazwa kierunku / Study area: IT and Econometrics

Forma studiów / Form of studies: IInd degree (master degree), Full time








dr hab. prof. US Jakub Swacha




The aim of the course is to acquaint students with the basic concepts and techniques of management of data, including: modeling, storage management and data security, version management and data management culture.


None



L.p. / No.


KNOWLEDGE EP01 The student can list the basic concepts of the data management

SKILLS

SOCIAL COMPETENCES

EP02

EP03

The student is aware of the importance of data for organizations The student understands the need to track the development of methods in the data management area


L.p. / No.


liczba godzin

/ Hours


1 Basic concepts. Data management area 1 2

2 Data modeling. Conceptual and logical models 1 5

3 Data storage management 1 2

4 Data security management 1 2

5 Version management 1 2

6 Data management culture 1 2



Lecture using multimedia presentations.• case study • problem solving • working in groups • project development




Written test EP1, EP2 EP3


Assessment: - the student receives a satisfactory grade when he answers correctly at least 50% of the questions in the test, - a student receives a good grade when he answers correctly at least 70% of the questions in the test, - a student receives a very good grade when he or she correctly answers at least 85% of the questions in the test,


The final grade is equal to the grade obtained from the test.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

1 Data management

1 Data management (lecture)

Graded credit

Literatura

podstawowa /Basic

literature

1. Adelman, S., Moss, L. T., Abai M. (2005): Data Strategy, Addison Wesley Professional

2. Reid, R., Fraser-King, G., Schwaderer, D. W. (2007): Data Lifecycles: Managing Data for Strategic Advantage, Wiley


literature

1. Berson, A., Dubov, L. (2007): Master Data Management and Customer Data Integration for a Global Enterprise,

2. McGraw-Hill 3. Tupper, C. D. (2011): Data Architecture: From Zen to Reality, Morgan

Kaufmann 4. DAMA (2009): The DAMA Guide to the Data Management Body of

Knowledge, Technics Publications




50


Number of ECTS

2

SYLLABUS

EUROPEAN UNION FINANCE course id: US183AIIWNEiZ_58S

Nazwa przedmiotu / Course name: EUROPEAN UNION FINANCE

Nazwa kierunku / Study area: Finance and Accountancy


Profil studiów / Study profile:











The aim of the course is to familiarize students with all aspects of collection, spending and evaluation of financial resources within the European Union, both at the level of central, national and regional institutions


The student has knowledge in the field of finance, corporate finance management, business law, international economic relations, can interpret economic phenomena and supplement and improve knowledge and set priorities for achieving the goal.



L.p. / No.


KNOWLEDGE

EP01

EP04

has an extended knowledge of the rules international governance and theories of economics has an in-depth knowledge of the relationship between economic concepts and changes in the economy international

SKILLS

EP05 EP06

is able to properly analyse the causes and the course of socio-economic phenomena and processes with regional, national and international coverage uses the theoretical knowledge gained from the scope of economics for critical analysis, interpretation and assessment of socioeconomic phenomena

SOCIAL COMPETENCES

EP03

EP07

shows willingness for lifelong learning to supplementing and improving the knowledge acquired and skills in the social sciences is aware of the need for education continuous resulting from the variability of the socio-economic conditions


L.p. / No.


liczba godzin

/ Hours


1 Genesis, goals and Members of the European Union. Legal and institutional structure of the European Union

3 3

2 The budget of the European Union. EU structural funds. 3 3 3 Regional, transport and environmental policy - analysis of instruments and

methods financing 3 2

4 Organization and distribution of European funds in Poland in the light of financial framework planning principles

3 4

5 Cost-benefit analysis in the EU projects 3 3 15

Forma zajęć: wykład / Type of classes: workshop 1

Block one: on pan-European financial issues with particular focus taking into account Poland's position - net and gross payers, financing of agricultural policy,

3 7

structure contributions to the EU budget, financing and consequences of Community solutions, e.g. four liberties (introduction - 1h and work with case studies prepared and presented by students - 6 h)

2 Block two: concerning critical analysis and economic evaluation of implementation examples of regional projects financed from EU funds and good practices taking into account result indicators (introduction - 1h and work with case studies, prepared and presented by students - 6 h)

3 7

3 Summary of projects 3 1 15


Multimedia presentations, document analysis with commentary, project development, work in groups




Test Project

EP1, EP2, EP3, EP4, EP5, EP6

EP1, EP5, EP6, EP7, EP8


The condition of obtaining credit is obtaining a positive grade from passing the exercises (project) and passing lectures in writing (test).


The final grade is a weighted average grade from the 40% exercises and the grade from the lecture 60%, provided that both forms have a positive grade.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

3 European finance weighted average

3 European finance (lecture)

Test 60%

3 European Finance (workshop/excercise)

Project 40%

Literatura

podstawowa /Basic

literature

Anand Menon, Stephen Weatherill (2012): The Oxford Handbook of the European Union, Materials of European Union from Europa.eu Materials of Ministry of European Funds from http://www.funduszeeuropejskie.gov.pl/en/


literature




75


Number of ECTS

3

SYLLABUS INSURANCE

course id: US183AIJ3334_55S

Nazwa przedmiotu / Course name: INSURANCE

Nazwa kierunku / Study area: Finance and Accounting

Forma studiów / Form of studies: Ist degree (bachelor), Full time












The aim of the course is to familiarize students with the basic concepts of insurance


Basic knowledge of micro- and macroeconomics.



L.p. / No.


KNOWLEDGE

EP01

EP02

The student knows the basic insurance issues The student has knowledge of the role and importance of the functioning of insurance institutions affecting the sphere of economic life

SKILLS

EP03 EP04

The student is able to identify insurance products and integrate them into the risk management process in the organization The student is able to assign specific insurance products to particular risks

SOCIAL COMPETENCES

EP05

EP06

The student is ready to assess the financial position of the insurer The student is ready to critically assess the product range of insurers and understands the need for continuous improvement of knowledge in the field of insurance


L.p. / No.


liczba godzin

/ Hours


1 Insurance development in the world and in Poland 3 2

2 Technical, insurance and legal foundations 3 5

3 The concept and classification of insurance 3 2

4 Insurance institutions, insurance databases 3 4

5 Reinsurance - the essence and role as well as scope, types, markets 3 2

15

Forma zajęć: ćwiczenia / Type of classes: workshop

1 Technical characteristics of the insurance contract 3 4

2 Introduction to insurance brokerage - tool scope and work specifics of insurance distributors

3 2

3 Banking and insurance cooperation in the aspect of insurance distribution. 3 2

4 Insurance activities 3 2

5 Financial economy of the insurance company 3 2

6 Investment activities of insurance companies 3 3

15


1 Analysis of general insurance conditions Section I (using insurance comparison

websites and Excel sheets)

3 2

2 Analysis of general insurance conditions Section II (using insurance comparison websites and Excel sheets)

3 2

3 Insurance risk grouping and management 3 2

4 Insurance tariff mechanisms and premium calculation 3 2

5 Examples of the assessment of the financial position of an insurance undertaking

3 2

6 Analysis of general insurance conditions Section I (using insurance comparison websites and Excel sheets)

3 2

15


linking teaching content with previous experience, - repetition and consolidation, - exercises, case study, - use of a multimedia projector during lectures, - use of Excel sheets and comparison websites.




1. Exam in writing 2. Test 3. Verification through observation

EP1, EP2, EP3, EP5 EP4, EP6


The basis for passing is obtaining a positive grade from test and exam . . The condition of passing the exercise and the laboratory is to obtain a minimum of 50% of the test points. The condition of passing the lecture is to obtain a minimum of 50% of the exam points. Grade based on the arithmetic average of the grades for test, laboratory and exam.


The grade is based on the arithmetic mean of the exercise, laboratory and exam grades.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

3 Insurance arithmetic mean

3 Insurance (Laboratory) graded credit

3 Insurance (Lecture)

Exam

Insurance (Workshop)

graded credit

Literatura

podstawowa /Basic

literature

Dionne, Georges (Ed.) (2013): Handbook of Insurance, Springer Dabrowski, Ireneusz (2016 ): Economics of insurance, Warsaw School of Economics Zweifel, Peter (2012) Insurance Economics, Springer


literature

https://www.knf.gov.pl/en/




100


Number of ECTS

4

SYLLABUS INTERNATIONAL ECONOMICS


Nazwa przedmiotu / Course name: INTERNATIONAL ECONOMICS

Nazwa kierunku / Study area: ECONOMY


Profil studiów / Study profile:




Status przedmiotu / course status: facultative



Dr Marcin Gryczka


Dr hab. Małgorzata Porada Rochoń


The aim of the course is to familiarize students with aspects of the relationship between economic concepts and changes in the international economy


The student has knowledge in the field of finance, corporate finance management, business law, international economic relations, can interpret economic phenomena and supplement and improve knowledge and set priorities for achieving the goal.



L.p. / No.


KNOWLEDGE

EP01

EP04

has an extended knowledge of the rules international governance and theories of economics has an in-depth knowledge of the relationship between economic concepts and changes in the economy international

SKILLS

EP05 EP06

is able to properly analyse the causes and the course of socio-economic phenomena and processes with regional, national and international coverage uses the theoretical knowledge gained from the scope of economics for critical analysis, interpretation and assessment of socioeconomic phenomena

SOCIAL COMPETENCES

EP03

EP07

shows willingness for lifelong learning to supplementing and improving the knowledge acquired and skills in the social sciences is aware of the need for education continuous resulting from the variability of the socio-economic onditions


L.p. / No.


liczba godzin

/ Hours


1 Globalisation and regionalisation in the modern world economy 2 2 2 Selected theories of international exchange 2 3 3 Selected issues concerning innovation and international technology transfer 2 3 4 Theories of foreign direct investment and transnational corporations 2 3 5 Organised markets in the global economy - selected issues 2 2 6 Strategic trade and industrial policy 2 2 7 The role of trade in economic development 2 2 8 International competitiveness 2 3 9 Functioning of the international financial market 2 4 10 The financial crises sources and consequences 2 3 11 International flows of goods and services - phenomena, trends, prospects 2 3 30


Academic textbooks and other supporting materials, lecture using presentations Multimedia learning methods, multimedia presentations prepared by students, group work




EGZAMIN PISEMNY / WRITTEN EXAM EP1, EP3, EP4, EP5, EP6, EP7


Pass mark credit for the lecture - on the basis of the examination (in the form of descriptive questions)


the grade from the course (coordinator's grade) is equal to the grade from the lecture


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

2 International Economics

weighted average

2 International Economics (lecture)

Exam 1

Literatura

podstawowa /Basic

literature

1. Reinert, Kenneth A. An introduction to international economics : new perspectives on the world economy. Cambridge University Press, 2012. 2. Carbaugh, Robert J. International economics. South-Western Cengage Learning, cop. 2013.


literature

International Economic Journal (on-line)




125


Number of ECTS

5

https://katalog.bg.szczecin.pl/cgi-bin/koha/opac-khw.pl?authid=69927&field=100

SYLLABUS INTRODUCTION TO PROGRAMMING


Nazwa przedmiotu / Course name: INTRODUCTION TO PROGRAMMING


Forma studiów / Form of studies: Ind degree (bachelor degree), Full time












The aim of the course is to: 1. Acquire knowledge of computer programming on the example of the Python language. 2. Master practical skills of programming in Python.


Knowledge of basic computer skills.



L.p. / No.


KNOWLEDGE EP01 EP02

Student knows the basic terms and structures characteristic of structured programming Student knows the phases of software development lifecycle

SKILLS

EP03 EP04 EP05

Student is able to independently design, implement and test programs in Python Student is able to implement programs according to given specifications The student can cooperate with other programmers in implementation of the joint project

SOCIAL COMPETENCES

EP06

Student is aware of the allowed terms of use of software under various licenses


L.p. / No.


liczba godzin

/ Hours


1 Basic terminology of programming. Methods of algorithm specification 2 2

2 Computer as an object of programming 2 2

3 Programming languages. Programming paradigms 2 2

4 The components of program. Simple and complex instructions 2 2

5 Strings, lists, tuples and their processing 2 2

6 Functions and modules 2 2

7 Dictionaries and sets. Files and databases 2 2

8 Software testing and documenting 2 1

Forma zajęć: ćwiczenia / Type of classes: laboratory 30

1 Basics of Python syntax 2 2

2 Simple programs. Using conditional statements 2 3

3 Using loops. Processing of complex data types 2 6

4 Built-in functions and modules. Objects and methods 2 4

5 Defining functions and classes. Recursive functions 2 6

6 Files and databases 2 4

7 Testing programs 2 5


• lecture supported with multimedia presentation • application development, programming • case study • problem solving • working in groups

• project development




knowledge test programming test group project

EP1, EP2 EP3 EP4, EP5, EP 6


The final examination includes: • single-choice test covering the content of the lectures (35% points) • programming test consisting of writing a computer program designated by the teacher (35% points) • group project (30% points), a program written in collaboration with other students (topic selected by the group)


Grading scale: 3.0: more than 50% points; 4.0: more than 70%, 5.0: more than 85%.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

2 Introduction to programming

arithmetic mean


(lecture)

Graded credit


(laboratory)

Graded credit

Literatura

podstawowa /Basic

literature

3. Brad Miller, David Ranum, Jeffrey Elkner, Peter Wentworth, Allen B. Downey, Chris Meyers, and Dario Mitchell (2012). How to Think Like a Computer Scientist. Learning with Python: Interactive Edition. Decorah, IA, USA: Runestone Interactive. http://interactivepython.org/courselib/static/thinkcspy/.


literature

5. Mark Lutz, David Ascher (2004). Learning Python. Sebastopol, CA, USA: O’Reilly.

6. Brad Miller, David Ranum, Jeffrey Elkner, Peter Wentworth, Allen B. Downey, Chris Meyers, and Dario Mitchell (2012). Problem Solving with Algorithms and Data Structures. Decorah, IA, USA: Runestone Interactive. Retrieved from http://interactivepython.org/courselib/static/pythonds/.

7. http://www.codecademy.com/.




125


Number of ECTS

5

SYLLABUS MULTIVARIATE ANALYSIS


Nazwa przedmiotu / Course name: MULTIVARIATE ANALYSIS












dr hab. JACEK BATÓG / dr hab. Christian Lis


To gain in-depth knowledge of methods of multidimensional statistical analysis and their application to classification of objects. Mastering the ability to use selected functions of the statistical package related to multidimensional issues




L.p. / No.


KNOWLEDGE

EP01

EP02

Student knows basic issues related to the specification, quality and transformation of diagnostic variables used in multivariate analysis and understands theoretical basis of chosen methods of multivariate analysis including the identification and measurement of influence of outliers Student understands theoretical basis of chosen methods of multivariate analysis

SKILLS

EP03 EP04

Student can apply chosen methods of multivariate analysis in classification (ordering and clustering) of economic objects and provide an interpretation of received results Student can apply statistical package used in multivariate analysis

SOCIAL COMPETENCES

EP05

Student is able to independently expand its knowledge of multivariate analyses


L.p. / No.


liczba godzin

/ Hours


1 Theoretical basis of multivariate comparative analysis. Formulating taxonomic (classification) problems. Classification of multivariate analysis methods.

2 2

2 Issue of diagnostic feature specifications: criteria and limitations. Preparation of statistical data used in multivariate analyses. Problems of selection of measures of similarities and distances. The influence of outlier observations on the results of object classification.

2 2

3 Object ordering – methods, selected problems and interpretation of results. 2 2

4 Cluster analysis – methods, selected problems and interpretation of results. 2 2

5 Discriminant analysis – theoretical basis, limitations and interpretation of results. 2 2

6 Correspondence analysis – theoretical basis, limitations and interpretation of results.

2 2

7 Factor analysis. Principal component analysis. 2 3


1 Quality assessment and preparation of statistical data for multivariate analyses. Identification and elimination of the negative impact of outliers.

2 4

2 Examples of applications of different linear ordering methods. Interpretation of results and solving emerging problems in constructing object rankings.

2 6

3 Examples of cluster analysis applications. Interpretation of results and elimination of constraints occurring in the grouping of objects.

2 6

4 Applications of discriminant analysis in the classification of objects. 2 8

5 Applications of correspondence analysis in multivariate analyses. 2 6

6 Applications of factor analysis in research on multidimensional objects. 2 6

7 Applications of principal component method in multivariate analyses. 2 5

8 Presentation and discussion of projects. 2 4


Lectures using multimedia presentations. Laboratories consisting in solving classification problems using an Excel spreadsheet and statistical package. Working in a group while developing project.




Oral exam Project

EP1, EP2 EP3, EP4,EP5


Students within the laboratory are evaluated on the basis of their project created in the form of group work (a project group can have a maximum of 3 people), which verifies achieving learning outcomes in terms of skills and social competences. Verification of the implementation of the results in terms of the knowledge provided during the lectures shall take place during an oral examination based on 2 questions. The exam grade is equal to the lecture grade.


The grade from the course is calculated as a simple arithmetic mean of the marks obtained from the laboratory and the exam.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

2 MULTIVARIATE ANALYSIS

arithmetic mean

2 MULTIVARIATE ANALYSIS (lecture)

Exam

2 MULTIVARIATE ANALYSIS (laboratory)

Graded credit

Literatura

podstawowa /Basic

literature

4. Härdle W.K., Simar L. (2012): Applied Multivariate Statistical Analysis, third ed., Springer, Heidelberg, Dordrecht, London, New York.

5. Johnson R.A., Wichern D.W. (2007): Applied Multivariate Statistical Analysis, Pearson Prentice Hall, New York.


literature

8. Batóg B., Batóg J. (2016): Application of correspondence analysis to the identification of the influence of features of unemployed persons on the unemployment duration, Economics and Business Review, Vol. 2 (16), No. 4.

9. Batóg J., Batóg B. (2019): The Application of Discriminant Analysis to the Identification of Key Factors of the Development of Polish Cities, Folia Oeconomica, Acta Universitatis Lodziensis, 4(343).

10. Batóg J., Batóg B. (2019): Macroeconomic Factors of Economic Growth in the European Union in 2000-2016: A Multidimensional Analysis, ECONOMETRICS. EKONOMETRIA, Advances in Applied Data Analysis, Vol. 23, No. 3.

11. Tacq J. (2007): Multivariate Analysis Techniques in Social Science Research. From Problem to Analysis, SAGE Publications, Los Angeles, London, New Delhi, Singapore.

12. Izenman A.J. (2008): Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning, Springer, New York, Heidelberg, Dordrecht, London.




100


Number of ECTS

4

SYLLABUS SAMPLING


Nazwa przedmiotu / Course name: SAMPLING










Dr Magdalena Mojsiewicz


Dr Magdalena Mojsiewicz


To gain knowledge on methods of selecting statistical samples in economic and social surveys. Gaining basic knowledge about the methods of sampling from the population and methods of generalisation of survey results per population


Knowledge of descriptive and mathematical statistics



L.p. / No.


KNOWLEDGE EP01

Knowledge of the stages of conducting surveys using the representative method, the method of sample design, various sampling schemes, the possibility of using the representative method in social research

SKILLS

EP02 EP03

Skills to verify the randomness of samples and their representativeness, to estimate the mean value and the population structure index in simple probability samples and different probability sampples using different estimators. Skills to prepare a random sample in different sampling design, including determining the necessary sample sizes

SOCIAL COMPETENCES

EP05

Social competences: ready to recognise the importance of cooperation with public statistics.


L.p. / No.


liczba godzin

/ Hours


1 Subject of the sample method, types of statistical surveys, sample

selection methods, advantages of the sample method, stages of the

sample survey. Sample selection methods

1 3

2 Basic sampling schemes. Estimators of mean values in simple

samples: ratio, product and regression. Horvitz-Thompson

estimator. Properties of estimators. Precision of estimations.

1 3

3 Determination of the necessary sample size. 1 1

4 Determination of structure indicator estimators. 1 1

5 Stratified sampling. Cluster and complex sampling. 1 3

6 Discussion of examples of sample-based surveys of official

statistics.

1 4


1 Ways of sample selection in different sampling designs.

Expectation and variance of the estimator.

1 3

2 Verification of the randomness of the sample and its

representativeness.

1 3

3 Estimation of mean value and structure index, determination of

estimation error in a simple sample.

1 3

4 Estimation of mean value and determination of estimation error in

stratified sampling.

1 3

5 Determining the necessary sample sizes for different sampling

design.

1 3


The subject includes lectures using (if necessary) presentation of methods of socio-economic surveys and laboratory exercises - individual work using a spreadsheet.




written test written paper/ essay/review

EP1,EP2,EP3 EP2,EP3,EP4


The form and conditions of the credit for the exercises:- Students are evaluated on the basis of written test and one project/ report. The form and conditions of the lecture: Students are evaluated on the basis of questions from the scope covering the lectures attached to the written test of the exercises A necessary condition for obtaining a positive credit from the course is obtaining a minimum sufficient grade from both forms of classes.


The grade from the course is a weighted average of the grades from the lecture and from the laboratory exercises (0.6 lab exercises, 0.4 lecture).


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

1 Sampling Weighted mean

1 Sampling (lecture) Graded credit 0,4

1 Sampling (laboratory) Graded credit 0,6

Literatura

podstawowa /Basic

literature

1. Sharon L. Rohr, Sampling: Design and Alanysis. 2010, Brooks/Cole, Cengage Learning, Boston


literature




100


Number of ECTS

4

SYLLABUS STRATEGIC ANALYSIS


Nazwa przedmiotu / Course name: STRATEGIC ANALYSIS

Nazwa kierunku / Study area: ECONOMY









dr MIRELA ROMANOWSKA


Prof. dr hab. Iga Rudawska


To acquaint students with the scope and methods of strategic company analysis. Mastering and using the tools with which to assess the strategic and competitive position of the enterprise and formulate a strategy for further development.


The student knows the basics of accounting, the theory of organization and management, business economics, macro and microeconomics - the student is able to identify events that may have an impact on the behavior of the company - the student has ingrained habits of lifelong learning, can work in a group and is prepared to observe and analyze the environment.



L.p. / No.


KNOWLEDGE

EP01

EP03

has basic knowledge of the types of economic systems and their components knows the basic methods of analysis of social and economic data, especially the methods of economic and financial analysis, including the concept of sustainable development

SKILLS

EP04 EP05

can carry out analyses of the company and its environment using selected methods uses the theoretical knowledge gained from the scope of economics for critical analysis, interpretation and assessment of socioeconomic phenomena

SOCIAL COMPETENCES

EP06

is able to participate in the preparation of projects in various socio-economic fields


L.p. / No.


liczba godzin

/ Hours


1 The essence and subject of strategic analysis. 2 1 2 The nature and types of strategic decisions in the company 2 1 3 Global and microeconomic /competitive/external economic conditions. 2 2 4 Internal resources and business processes of the company. 2 2 5 Characteristics and classification of basic competition strategies and

company development 2 2

6 Traditional and modern methods of strategic analysis 2 3 7 Portfolio methods in research and optimization of the company's market

position. 2 2

8 Comprehensive methods of building and selecting the enterprise's strategy (among others SWOT and SPACE).

2 2

15

Forma zajęć: ćwiczenia / Type of classes: exercises

1 Assessment of the macro-environment of enterprise X using, inter alia, the descriptors included in the PEST workshop

2 2

2 Company X sectoral environment survey 2 1 3 Using the M. Porter Model to assess the competitiveness of enterprise X. 2 1 4 Analysis of strategic potential of the company X. 2 2 5 Life cycle analysis of company's products / services X. 2 1 6 Use of the BCG Matrix to examine the correctness of the company's

product/service portfolio X 2 2

7 Enterprise resource analysis X. Preparation of strategic balance sheet of the enterprise X.

2 2

8 Analysis of opportunities and threats occurring in the environment of the enterprise X and the strengths and weaknesses of the enterprise X

2 2

9 Case study: company Y 2 2

15


multimedia presentation - analysis of texts with discussion - project development - group work




Colloquium Project

EP1, EP3 EP4, EP5,EP6


A credit for the exercises in a written form including a theoretical question (50%) and an assessment (analysis) of a selected business entity (50%). A credit for the subject after the course. A credit for lectures based on the final test. Pass mark credit after obtaining min. 60% correct answers


The grade from the course is determined as 70% of the pass mark (exercises) and 30% of the grade from the lecture.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

2 Strategic analysis arithmetic mean

2 Strategic analysis (lecture)

Graded credit 30

2 Strategic analysis (exercises)

Graded credit 70

Literatura podstawowa

/Basic literature

1. R.M.Grant, Contemporary strategic analysis: text and cases, John Wiley and Sons Ltd., 8th edition, Chichester 2013

2. A.Warner, Strategic analysis and choices, A structured approach, Business Expert Press, New York 2010

3. M.M. Crossan, M.J. Rouse et al., Strategic analysis and action, 8th edition, Pearson Canada Toronto 2011

4. J. Blue, Strategic Analysis Report: Tesla Motors & Powerwal, 2015

Literatura uzupełniająca / Supplementary literature

Harvard Business Review – current issues




75


Number of ECTS

3

SYLLABUS TAX SYSTEMS


Nazwa przedmiotu / Course name: TAX SYSTEMS

Nazwa kierunku / Study area: ECONOMIC AND LEGAL









Dr hab. Adam Adamczyk


Dr hab. Adam Adamczyk


To familiarize students with the theoretical, systemic and practical aspects of the tax system and to assess selected rules


Knowledge of the basics of finance science, public finance, corporate finance, accounting and law, perception of links between public finance sector and private sector entities, understanding the need for continuous search and deepening and complementing and supplementing finance



L.p. / No.


KNOWLEDGE

EP01 EP02

knows the essence and structure of the tax system, the most important legal acts of the Polish tax system and tax terminology knows the methods of arising and expiration of tax liabilities, the structure of taxes in force in Poland and selected tax regulations from systems used in other countries (mainly EU members)

SKILLS

EP03 EP04 EP05

finds and interprets the content of selected regulations in tax legislation and assesses their compliance with the requirements of tax, formal and material rules can determine the impact of taxation of taxpayers' taxation can supplement his knowledge and skills in the field of tax systems, understands the need for continuous learning

SOCIAL COMPETENCES

EP06

is ready to solve practical problems related to tax systems as part of the profession of tax adviser and economic and legal adviser, while observing ethical standards


L.p. / No.


liczba godzin

/ Hours


1 Concept, conditions, evolution, principles of rational tax systems 1 3

2 Structure of modern tax systems. Reforming the tax system. Taxpayers' reactions to tax.

1 3

3 Tax systematics 1 3

4 Tax obligation and tax liability. Legal grounds for imposing tax obligations in Poland

1 2

5 Formation, performance and expiry of tax obligations. 1 2

6 Responsibility for tax liabilities. The most important issues of tax proceedings and tax audits

1 2

15


The use of multimedia presentations combined with commenting on current developments in the field of local taxes and charges

Metody weryfikacji efektów uczenia się /



Methods of verification of learning outcomes

The written exam EP1, EP2, EP3, EP4, EP5,EP6


The written exam in the form of a test tests the achievement of learning outcomes in knowledge and skills. It includes test questions (up to 30 questions) and one open question. The subject grade is the final grade.


The student is given a sufficient grade from the credit when he or she obtains 55%-65% of the maximum number of points. - The student is given a sufficient grade plus credit when he or she obtains 66% of the maximum number of points. - A student receives a good grade from a pass when he or she receives 77%-87% of the maximum number of points. - The student receives a good grade plus a pass mark when he or she gets 88% of the maximum number of points. - The student receives a very good grade from the pass mark when he gets 89%-100% of the maximum number


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

1 Tax systems arithmetic mean

Tax systems (lecture) exam 1

Literatura

podstawowa /Basic

literature

J. Mirrles, Tax by design, IFS, 2011, London https://ec.europa.eu/taxation_customs/publications/taxation-services-papers/taxation-papers_en


literature

Taxation paper No 65: The Effects of Tax Reforms to Address the Debt-Equity Bias on the Cost of Capital and on Effective Tax Rates Taxation paper No 58: Tax Reforms in EU Member States: 2015 Report




25


Number of ECTS

1

https://ec.europa.eu/taxation_customs/publications/taxation-services-papers/taxation-papers_en

https://ec.europa.eu/taxation_customs/publications/taxation-services-papers/taxation-papers_en

SYLLABUS User requirements ENGINEERING


Nazwa przedmiotu / Course name: USER REQUIREMENTS ENGINEERING


Forma studiów / Form of studies: Ind degree (bachelor degree), Full time








dr Karolina Muszyńska


dr Karolina Muszyńska


Acquainting the student with theoretical concepts regarding user requirements engineering and IT tools supporting this field, and making them able to use the tools and the acquired knowledge to define and model the requirements and to manage them.


Basic computer and Internet use skills.



L.p. / No.


KNOWLEDGE

EP01 EP02 EP03

knows and understands concepts related to requirements engineering for information systems knows the methods of obtaining requirements, defining and managing them in the context of IT systems development knows IT methods and tools supporting the acquisition and management of requirements

SKILLS

EP04 EP05 EP06

can use theoretical knowledge to define and document requirements for IT systems using appropriate tools can use learned methods and IT tools to model requirements can work in a project team

SOCIAL COMPETENCES

EP07 is ready to perform critical analysis of collected system requirements


L.p. / No.


liczba godzin

/ Hours


1 Introduction to requirements engineering - classification and requirements attributes

4 2

2 Modeling of requirements using UML diagrams - use case diagrams 4 2

3 Modeling of requirements using UML diagrams - class and object diagrams 4 2

4 Modeling of requirements using UML diagrams - activity, sequence and communication diagrams

4 2

5 Modeling of requirements using UML diagrams - state transition and package diagrams

4 2

6 Factors affecting the quality of requirements 4 2

7 Requirements management 4 3


1 Definition of the project task and business needs of the organization 4 2

2 Identification and description of user requirements - categories of requirements 4 2

3 Functional structure and description of users 4 2

4 Function modeling - use case diagrams 4 4

5 Modeling of information structure - class and object diagrams 4 4

6 System dynamics modeling - activity diagrams 4 2

7 Interaction diagrams - sequence and communication diagrams 4 4

8 State transition diagrams 4 2

9

Design of general system architecture based on the package diagram 4 2

10 Alternative approach to requirements engineering - structural analysis 4 3

11 Requirements management - tools 4 3


• group work, case study, lecture with the use of multimedia presentation




Colloquium project

EP1, EP, EP3 EP4, EP5, EP 6, EP7


The final grade is based on: * test from lectures - the test verifies the achievement of learning outcomes in the field of requirements engineering knowledge as well as methods and tools supporting this field - for a satisfactory grade the student must be able to discuss issues in the field of individual requirements engineering components * project - the project verifies the achievement of learning outcomes in terms of practical skills and competencies - the student must obtain 60% of the points from the project for a satisfactory grade. The projects will concern the definition and documentation of requirements for an exemplary IT system using the tools/diagrams learned.


The final grade is the weighted average of the test (0.3) and the project (0.7). This grade can be calculated provided that a positive grade is obtained from both the test and the project.


Semester



Metoda obliczania

oceny / Method of

grade calculation

Waga do średniej

/ Average weight

4 User requirements engineering

Weighted mean

4 User requirements engineering (lecture)

Graded credit 30

4 User requirements engineering (laboratory)

Graded credit 70

Literatura

podstawowa /Basic

literature

6. Hoffer J.A.,George J.F.,Valacich J.S. (2014): Modern systems analysis and design, Pearson

7. Gomaa H. (2011): Software modeling and design: UML, use cases, patterns, and software architectures, Cambridge

8. Kossmann M. (2013): Requirements management: how to ensure you achieve what you need from your projects, Gower/.


literature

13. Kosiuczenko P., Śmiałek M. (eds.) (2015): From requirements to software : research and practice, Polish Information Processing Society




100


Number of ECTS

4

S Y L A B U S - Uniwersytet Szczeciński

Documents

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