Courses in English and German for Erasmus Students Academic

Transcription

Courses in English and German for Erasmus Students
Academic year 2013/14
Szczecin 2013
Part 1
Courses in English language
Courses
Macroeconomics
Makroekonomia
Analiza matematyczna
Statystyka opisowa
Technologie
informacyjne
Rachunkowość podstawy
Organizacja i
zarządzanie
Mikroekonomia
Bankowość
Podstawy finansów
Marketing
Algebra liniowa
Wnioskowanie
Statistical inference
statystyczne
Multimedia applications
Multimedia w
in business
działalności biznesowej
Team work
Zarządzanie pracą
management
zespołową
Polityka gospodarcza
Economic Policy
Ekonometria
Econometrics
Financial and insurance Matematyka finansowa
mathematics
i ubezpieczeniowa
Introduction to
Podstawy
computer programming
programowania
Decision support
Systemy wspomagania
systems
decyzji
Statistical software
Zastosowanie pakietów
applications
statystycznych
Investment of Capital
Inwestycje na rynku
Market
kapitałowym
Economic Analysis In
Analiza Ekonomiczna w
Enterprise
przedsiębiorstwie
Mathematical analysis
Descriptive statistics
Information
technologies (IT)
Fundamentals of
accounting
Organization and
management
Microeconomics
Banking
Basic finance
Marketing
Linear algebra
Semester
the number of
hours
1
60
1
1
45
60
1
30
1
30
1
30
2
2
2
2
2
60
30
30
30
45
2
45
2
30
2
15
15
45
45
45
30
Total
ECTS
4
4
4
3
4
3
4
4
4
3
4
3
3
2
2
3
3
3
3
30
3
15
3
30
3
Filled in by the Field of Study Group
Name of the course:
Course code:
MACROECONOMICS
14.3III71AI08_1
Name of the unit giving the course:
Department of Macroeconomics
Name of the field of study:
Economics and IT applications
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
Course/module status:
Course/module language:
1/1
Field of study
english
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
30
30
hours
Course/module coordinator
dr Lech Próchnicki, lproch@mikroplan.com.pl
Goal of the course/module
Course requirements
To acquaint the student with the basic concepts and models of modern
macroeconomics, explaining key processes and relationships in the economy and
their development by means of formal methods.
In terms of knowledge: the student knows the general economic phenomena in
economy.
In terms of skills: the student has the ability to see cause and effect and the ability
to use matematic knowledge.
In terms of competence (attitudes): student can work together in a group, has a
habit of learning and acquiring current economic information
Number of
Course content
hours
Form of the course – lecture
1. Fundamental of macroeconomics
2
2. Economic equilibrium in short and long run economy
4
3. The lobor market and unemployment
3
4. Economic growth and growth policy
3
5. The monetarny system and monetary policy
4
6. Inflation
2
7. Private and public aggregate demand
3
8. International trade versus foreigin demand
2
9. Interest rate versus aggregate demand – IS model
3
10. IS-LM model and macroeconomic policy in short run economy
4
30
Form of the course – classes (exercises)
1. Introduction to economy
2
2. Circle flow – equilirium interactions beetwen economic agents
4
3. Meassuring Economic Product (output, incame); social wealth;
3
4. Unemployment
3
5. Financial market
2
6. Money and banking system
2
7. Inflation
3
8. Private sector demand: the role of savings and investments
2
9. Goverment versus aggregate demand. Goverment budget and fiscal policy
3
10. International trade and forigin sector
2
11. Interest rate and aggrigate demand – IS curve
2
12. Short run equilibrium and policy in IS – LM model
2
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
Additional bibliography
ECTS
30
- Based on the theory lectures, academic textbook and reference materials ·
- multimedia presentation
- case study.
Students are assessed on the basis of two written colloquia.
Tests include the verification of knowledge based on multiple choice tests (about 60% of the
points) and open tasks (about 40% of the points) for checking the ability to calculate
macroeconomic variables and their interpretation.
The project - making senior thesis: project preparation and presentation. The project has
analyzed the characteristics of the problem, its quantification based on statistical data for
time series or cross consisting of at least 10 observations and analysis described in this way
economic events
Rating:
· Student receives adequate assessment of the total points score of 60% under the proposed
forms of credit,
· Student receives a good evaluation of the total points score of 80% under the proposed
forms of credit,
· Student receives a good evaluation of the total points score of 95% under the proposed
forms of credit,
The form and terms of the exam:
· A written examination testing the knowledge, skills and social competence of students.
Rating:
· The student receives adequate assessment - the gets 60% of the points scored in the
proposed form of credit,
· The student receives a good evaluation - gain 80% of the points scored in the proposed
form of credit,
N.G. Mankiw., Princeples of Macroeconomics. South –Western Collage 2008
M. Burda., Ch. Wypłosz, Macroeconomics, Oxford 2005;
N. G. Mankiw, Macroeconomics, Worth Publisher, 2004
R.E. Hall, J.B. Taylor, Macroeconomics, Forth Edition, W. W. Norton &Company 1998;
N.G. Mankiw., Princeples of Macroeconomics. – Study Guide .South –Western Collage 2008
D.H. Papell, Hall and Taylor’s Macroeconomics; Study Guide, W.W.Horton & Company,
1998
4
Name of the course:
Course code:
MATHEMATICAL ANALYSIS
14.3.III.71AI05_15
Department of Econometrics and Statistics
Name of the field of Study:
ECONOMICS AND IT APPLICATIONS
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
1/I
Field of study
English
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
30
hours
dr Barbara Batóg, batog@wneiz.pl, 91 444 1978
Course deals with differential and integral calculus for single and many variable
functions; elements of this course will be used in other courses (for example
economics, statistics and econometrics)
Course requirements



Knowledge: student knows mathematics on the high school level
Skills: student is able to solve mathematical problems on the high school level
Social competencies: student studies systematically
Number of
Course content
hours
1. Cartesian product. Definition and properties of functions: injection, surjection, bijection, monotonicity,
inverse functions, cyclometric functions, function composition. Elementary functions. Examples of
countable and uncountable sets
2. Metric space. Neighborhood and punctured neighborhood, open and closed set, bounded set. Limits of
the sequences, convergent and divergent sequences, Euler's number e, indeterminate forms
3. Definition and properties of limits and continuity
4. Difference quotient, definition and properties of derivative of single variable function, properties of
differentiable function, derivatives of elementary functions; rules for finding the derivatives, differential,
higher-order derivatives. Derivatives in geometry and economics
5. 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, inflection points,
curvature. L'Hôpital's rule. Asymptotes.
6. Indefinite integrals, integration by substitution and by parts.
7. Riemann definite integral, fundamental theorem of integral calculus. Improper integrals. Relationship
between definite integral and area.
8. Differentiability, partial derivatives and local extrema of many variable functions
2
2
1
2
4
1
2
1
15
Form of the course – exercises
1. Cartesian product. Definition and properties of functions: injection, surjection, bijection, monotonicity,
inverse functions, cyclometric functions, function composition. Elementary functions.
2. Limits of the sequences, convergent and divergent sequences, Euler's number e, indeterminate forms.
2
3. Limits and continuity of functions.
2
2
4. Computing the derivatives of single variable functions.
5. Application of derivatives to analyze single variable functions: necessary and sufficient conditions of
existing of local and global extrema, monotonicity, inflection points, curvature. L'Hôpital's rule.
Asymptotes.
6. Computing basic types of indefinite integrals by means of integrating by substitution and by parts.
4
7. Computing basic types of definite integrals. Area of figures.
2
8. Partial derivatives and local extrema of many variable functions
4
9. 2 colloquia
4
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
ECTS
6
4
30
Lecture, exercises in groups
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)
1. B.Batóg, I.Foryś, M.Guzowska, K.Heberlein, Matematyka dla studentów kierunków
ekonomicznych, Katedra Ekonometrii i Statystyki Uniwersytetu Szczecińskiego, Szczecin
2004.
2. W. Krysicki, L. Włodarski, Analiza matematyczna w zadaniach, t.1-2, PWN, Warszawa
2003.
3. H. Kryński, Zastosowania matematyki w ekonomii, PWN, Warszawa 1973.
1. Dubnicki W., Kłopotowski J., Szapiro T.: Analiza matematyczna. Podręcznik dla
ekonomistów, PWN, Warszawa 1996
2. Kwiecińska G.: Analiza matematyczna, Wyd. Uniwersytetu Gdańskiego, Gdańsk 1995.
4
Name of the course:
Course code:
DESCRIPTIVE STATISTICS
14.3.III.71AI05_18
Department of Statistics and Econometrics / Department of Insurance and Capital Markets
Economics and IT Applications
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
1 year/ 1 semester
Field of study
english
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
30
30
hours
Dominik Rozkrut, PhD, dominic@univ.szczecin.pl
Course requirements
The aim of the course is to acquire basic knowledge of a quantitative description of
economic and social effects as well as ability to present the results of socioeconomic phenomena, both conducted by students and also secondary research.
 knowledge of basic economic concepts,
 use of the methods from the "Mathematics” module,
 the ability to read and understand a logical argument.
Number of
Course content
hours
1 Types of statistical surveys, definition of statistical unit and collective, statistical surveys subject; types
of features, measurement scales, methods of statistical material presentation, problems of collectives
presentation by characteristics measured on different scales. The structure of mass processes.
2 Characteristics of one-dimensional collectives, empirical distributions of socio-economic features,
moments and quantiles for metric scales, measures of central tendency, measures of dispersion,
measures of asymmetry, measures of concentration (flattening).
3 Indicators - a description of the structure and intensity of the phenomena. The harmonic mean. Index of
structures similarity.
4 Presentation of the two-dimensionally described collectivity, tables and ranks for collectivities described
in two dimensions depending on the scale of measurement, types of relationships between the
characteristics of social phenomena;
5 Correlation coefficients: Pearson and Spearman, coefficients based on 2 statistics, variance equality,
correlation relationships.
6 Empirical and theoretical regression, the method of least squares for linear regression, measures of
regression fit.
7 Introduction to the analysis of collectivity described in many dimensions, multiply and partial correlation.
8 Characteristics of changes in time of economic and social phenomena. Time series, chronological
mean. Analysis of short-term changes, individual indices, the average rate of change, average absolute
increase.
9 Aggregate indexes. Research and standardization of basket of goods, study of prices, price index for
2
4
2
2
4
2
2
2
4
consumer goods and services, price indices for other goods / services. Aggregate indices for relative
values.
10 Components of time series, trend and seasonal variations. Analysis of the trend and seasonality by
means of mechanical method.
11 Linear and exponential trend. Additive and multiplicative model of seasonality.
TOTAL
2
4
30
1 Presentation of statistical data, statistical features
2
2 Measures of central tendency, measures of dispersion, measures of asymmetry.
2
3 Measures of flattening and concentration.
4 Pearson correlation coefficients for the data in form of ranks and correlation tables, strength and
direction of the relationship.
5 Coefficients based on 2 Pearson statistic.
2
6 Empirical regression lines, correlation ratios.
4
7 Linear regression, OLS estimation of parameters, testing the regression fit.
2
8 Multiple and partial correlation.
9 Analysis of short-term changes, individual indexes. Procedure of averaging changes over time.
Aggregate indexes and index values for relative size.
10 Determination of trend and seasonality.
2
11 Assessment in writing (problem solving).
5
TOTAL
Education methods
3
1
4
3
30
The course comprises lectures using (where appropriate) transparencies / presentations of
research of socio-economic phenomena and exercises - working individually and in groups.
Form and terms of credit:
 Students are assessed on the basis of two or three written tests covering writing
skills verification based on solving tasks of choosing appropriate descriptive
characteristics, their determination and interpretation of detailed series and
aggregated data to a series of interval and correlation tables (students during the
tests can benefit from standardized statistical tables). Each test must be passed for
a minimum of 60%. The average of the ratings represents 80% of the credit
assessment. A necessary condition for completing with the weight 0.20 is
independently prepared essay, presented in two stages on consultation exercises.
Form and terms of
examination
 a written examination testing the knowledge and skills of students (knowledge 80%,
skills 20%) in the use of parameters describing one-and two-dimensional structures
and dynamic characteristics. The exam includes open-ended questions relating to
analytical examples in which student must demonstrate knowledge of the principles
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.
Rating:
 Student receives a sufficient assessment - if he can describe the characteristics of
the population using figures for qualitative and quantitative characteristics of central
tendency, dispersion, asymmetry, concentration and correlation (regression), knows
the research methodology of socio-economic phenomena and characterize


Basic bibliography
ECTS
changes in time by means of individual indexes and determine trend both by
mechanical and analytical method.
The student receives a good mark - if he can also assess the concentration
(flattening), is able to characterize the types of concepts related to empirical
distributions of economic and social variables, can evaluate the fit of the regression
/ trend (including exponential) to empirical data and is able to characterize the
growth of values of heterogeneous baskets including price increases and
consumption, describe seasonal variations, both by mechanical and analytical
method.
The student receives a very good mark - if also knows the properties of statistics
being used, correctly uses the concepts and sets the harmonic and chronological
mean, can define the concepts of coexistence theory, can explain the theoretical
basis of the method of least squares, properly use measures of coexistence in
collectives characterized in many dimensions, and understand the methodology of
estimating inflation in Poland.
Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K.: Statystyka w zadaniach. Cz. I.
Wydawnictwo Naukowo-Techniczne, Warszawa 2002.
Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K.: Wzory i tablice statystyczne. Katedra
Ekonometrii i Statystyki Uniwersytetu Szczecińskiego. Stowarzyszenie Pomoc i Rozwój,
Szczecin 1997.
Hozer J., Korol M., Korol J., Talaga L., Witek M.: Statystyka. Opis statystyczny.
Stowarzyszenie Pomoc i Rozwój, Szczecin 1996.
Zając K.: Zarys metod statystycznych, PWE, Warszawa 1994.
Zeliaś A.: Metody statystyczne, PWE, Warszawa
GUS publications: Statistical yearbooks, monthly information on the economic situation of
the country, monthly information on price developments in the national economy, other
methodological publications.
4
Name of the course:
Information technologies (IT)
Form of studies:
Full-time Bachelor
Year / semester
1 year/ 1 semester
Form of the
lecture
course
Number of
15
hours
Course code:
14.3.III.71AI05_18
Education profile:
academic
Field of study
exercises
laboratories
Specialization:
english
convers.
seminar
other
15
dr Tomasz Ordysiński
The course covers theoretical issues concerning the use of information technology and
aims at the acquisition by the student practical skills in using software to prepare to win
ECDL certificates.
Course requirements
Basic computer skills, the basics of using the Internet
Course content
Number of
hours
1. The role and importance of information in today's economy
2
2. Computer hardware- working principle and the functional
3
3. System Software and Utilities - examples of use, built-in tools
2
4. The process of computerization of the organization - models, systems, types of licenses.
2
5. Internet as a place for searching, collecting and sharing information
2
6. Safety of information technology
2
7. Trends of the Internet, telecommunications and electronic business applications.
2
TOTAL
15
1. Fundamentals of operating systems.
2
2. Text Editor - Create and edit documents, structure and formatting of tables, formatting, AutoShapes,
text boxes implemented using other tools, working with a large document
3. Spreadsheet - the introduction of the interface, basic formulas, cell formatting, spreadsheet, charts,
functions, import / export data, the analysis of large collections management decisions
4. Search tools, communication and sharing of information on the Internet, the process of synchronizing
resources for personal time management
4
5. Placing information on Internet - a project
2
TOTAL
Education methods
4
3
15
lectures, laboratory classes (solving practical tasks) based on Microsoft applications, open source
solutions and network applications
Form and terms of
examination
ECTS
practical test (50% weighting) - test test achievement of learning outcomes in terms of skills. Test
is a challenge for formatting and making calculations, analysis, and visualization of data in a given
time during the course.
Design your own (50% weighting) - a project to achieve the learning outcomes tested on practical
skills and teamwork. Projects will cover the proper preparation of the presentation on a chosen
topic and the implementation of a given website theme.
A satisfactory grade student must obtain a minimum of 60% of the points of credit practice and
perform design Passing
In case of exam the final subject note is an average of labs and written exam notes.
3
Name of the course:
Course code:
FUNDAMENTALS OF ACCOUNTING
14.3.III.71AI03_27
Institute of Accounting
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
1/I
Field of study
English
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
15
hours
Dr Urszula Drumlak, uladrumlak@wp.pl, 91 444 1952
The aim is to educate students to the role of accounting as the basic information
system in the enterprise.
Course requirements
Student knows the basics of entrepreneurship, the basic distinction between
economic categories, such as resources, processes. Students can work in a team
and understand the importance of lifelong learning.
Course content
Number of hours
Form of the course –lecture
1. The essence, the features and functions of accounting. The scope of accounting. Introduction
to accounting law.
2. The overriding principles of accounting
1
1
3. The scope and importance of the financial statements
1
4. Assets and liabilities of the company and its classification. Balance sheet
5. Business operations. The impact of business operations on the components of the balance
sheet.
6. Documentation of business transactions.
7. Account - construction and operation. Types of accounts. The principle of double-entry
bookkeeping. Registration rules for balance sheet accounts.
8. Income statement. Basic categories of profits - income, expenses, losses, gains
9. Principles of operation of the profit and loss accounts. Financial result and comparative
variant function.
10. Control and Subsidiary Accounts. Correction of accounting errors. Trial balance.
11. Preparing a simplified balance sheet and profit and loss account for the basis of the trial
balance
12. Examples of ethical dilemmas
2
1
1
1
2
2
1
1
1
15
Type of classes - classes
1. Familiar with the elements of the balance sheet and profit and loss account published by the
selected entities (attempt to assess the knowledge and skills of students).
2. The scope of accounting. Users of accounting information
1
1
3. Discussion of selected balance sheet law (liability management and supervisory boards,
documentation, inventory, reporting deadlines, the importance of politics (policy) of
accounting, document storage, etc.)
4. The balance sheet structure and substance of the balance sheet items
5. Preparation and interpretation of the importance of the balance sheet position of the group
work
6. Business operations and their documentation
1
1
1
1
7. The impact of transactions on the balance sheet
1
8. The principle of double-entry bookkeeping.
1
9. The task of the balance of the balance sheet. Preparing the trial balance
10. Characteristics of the profit and loss categories. Principles of operation of the income
accounts
11. Financial performance. The preparation of the profit and loss account.
1
12. Control and Subsidiary Accounts. Correction of accounting errors.
1
13. Overall example
14. Understanding the importance of accounting information based on a simplified financial
statements (working with documents)
15. Verification of knowledge and skills (colloquia).
TOTAL
1
1
1
1
1
15
Education methods
Multimedia presentation, cases studies, simulation methods, group work, analysis of source
documents
Form and terms of
examination
The form and terms of credit:
• Students are assessed on the basis of two written colloquia, including verification of knowledge based on
tests with one correct answer (about 20% of the points) and jobs (about 80% of the points) for checking the
ability to prepare and interpret simplified financial statements, records of business transactions, and practical
the importance of the right balance (students can use the credit of the consolidated text of the Law on
Accounting and charts of accounts).
• a written examination testing the knowledge and skills of students in the recording business transactions
and preparing financial statements. The examination covers the part of the test (about 60% of the points - the
test of choice and open-ended questions) and the registration and reporting tasks (about 40% of the points).
Students may use during the examination of the consolidated text of the Law on Accounting and charts of
accounts.
Rating:
• The student receives a sufficient assessment of - if it can timesheet basic operations and the resulting
balance sheet, can be drawn up on the basis of a simplified version of the balance sheet and profit and loss
account, knows the basic concepts of accounting basics.
• The student receives a good mark - if it can also timesheet less common operations, and the resulting
balance sheet, it can assess the impact of operations on the basic financial statements, is able to replace the
concepts of accounting basics.
• The student receives a very good - if it can also timesheet balance sheet and the resulting actions on the
ground as their recognition, can define the concepts of accounting basics.
Basic bibliography
ECTS
1. The accounting act (bilingual edition). CH Beck, Warszawa 2010
2. Principles of Accounting, http://www.principlesofaccounting.com/
3. C.T. Horngreen, Accouting, Pearson
4
Name of the course:
ORGANISATION AND MANAGEMENT
Department of Organisation and Management
Form of studies:
Education profile:
Full-time Bachelor
academic
Year / semester
I/1
Field of study
Form of the
lecture
exercises
laboratories
course
Number of
15
15
hours
Course code:
14.3III71AI11_37
Specialization:
english
convers.
seminar
other
Aleksandra Rudawska, aleksandra.rudawska@gmail.com, 91 444 19 75
The course covers issues concerning functioning and management of the organisations.
The management issues are discussed according to the management functions i.e.
planning, organising, leading and controlling. Additionally one of the course goals is to
develop students’ skills in the field of using basing management instruments as decision
making procedure, analysing organizational situation and identification major managerial
problems.
Course requirements
Student describes basic economic and social terms and understands the necessity of
continuous learning.
Course content
Number of
hours
Lecture
1. The essence of management and challenges that are put in front of the managers.
2
2. Organisations as systems and their environment
2
3. Making managerial decisions
2
4. Planning: essence, planning process, goals, strategic analysis in planning
2
5. Organizational structure: roles, elements, dimensions
2
6. Leading people: leadership and motivating
3
7. Managerial control
2
TOTAL
15
Exercises
1. Exercise on the essence of management
2
2. Exercise on the managerial roles and skills.
2
3. Exercise on the organizational sub-systems and external environment elements
2
4. Exercise on the decision making process and rationality restrictions.
2
5. Exercise on influencing people and motivating them
2
6. Concluding exercise on applying planning, organizing and controlling.
3
7. Colloquium
2
TOTAL
Education methods
Form and terms of
examination
15
Lecture with usage of the multimedia presentation with numerous practical examples.
Exercises – assignments showing practical applications of chosen managerial instruments and
enabling checking how students understand issues discussed during classes; discussions in groups.
- 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 home
assignments
- Activity during exercises (5% points) – development of skills of expressing individual opinions
Evaluation:
- student obtains grade 3 – student defines basic issues of management.
Basic bibliography
-
T.S. Bateman, S.A. Snell, Management. The New Competitive Landscape, McGraw-Hill, 2004
-
L.J. Mullins, Management and Organizational Behaviour, Pitman Publishing.
P.F. Drucker, What Makes an Effective Executive, Harvard Business Review, 2004, June, s.58-63
D. A. Garvin, M.A. Roberto, What You Don’t Know About Making Decisions, “Harvard Business
Review”, 2001, September, s. 108-116.
ECTS
3
Name of the course:
Course code:
MICROECONOMICS I
14.3III71AI10_2
Department of Microeconomics
Form of studies:
Education profile:
Specialization: Economics
full-time Bachelor
academic
Year / semester
1/2
Field of study
English
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
30
30
hours
Dr hab. Tomasz Bernat, kontakt@tomaszbernat.pl , 91/4442137
Course requirements
The aim is to present the basic concepts of microeconomics course, in
particular the principles of activity of individual markets, the behavior of
individual entities, micro-economic theory of choice: consumers and
businesses, the basic conceptual microeconomics methodology and
behavioral analysis tools will be used.
The student knows the basics of macroeconomics and the principles of
market economy, the student knows the current economic events.
Students are able to solve the basic tasks of mathematics and use
(properly construed) diagrams showing the relationships between the
main categories, which are subject to economic analysis.
Student is able to think analytically, properly formulate conclusions based
on the economics news.
Number of
Course content
hours
Fom of the course – e.g. lecture
1 Introduction to microeconomics
2
2 Market mechanism
4
3 Elasticity of demand and supply
4
4 Consumer choice
4
5 Firm and produciton
4
6 Costs
4
7 Market structure
4
8 Markets for factor inputs
4
TOTAL
30
1 Economic theory of behaviour
2
2 Basis rulet of market economy
2
3 Demand
2
4 Supply
2
5 Market equilibrium and it failure
2
6 Elasticity of dem and and supply
4
7 Middle examination
2
8 Consumer choice
2
9 Firm and production
2
9 Costs
2
10 Market structure – perfect competition
2
11 Imperfect competition – market models
2
12 Market for inputs factors
2
13 Final examination
2
TOTAL
Education methods
30
combination of lectures, class discussions, presentations and case studies
The form and terms of examination:
• Students are assessed on the basis of written form of test consist of open and
close question, case study analysis, covering the topics of microeconomics.
Form and terms of
examination
Basic bibliography
ECTS
Rating:
• The students receives a sufficient mark of - if they can provide some basic
definitions related to microeconomics and solve simple algebraic task.
• The student receives a good evaluation – if they can also define the basic
relationships occurring in individual markets, as well as solve problems, which is
able to provide the relationships that take place in the markets.
• The student receives a very good - if also can provide the likely effects of the
events taking place in the markets, as well as able to solve algebraic tasks that
require proper anticipation
J. M. Perloff, Microeconomics, Perason, New Jersey, 2007
R.S. Pindyck, D. L. Rubinfield, Microeconomics, Perason, New Jersey, 2005
H. Gravelle, R. Rees, Microeconomics, Perason, New Jersey, 2004
International Journals- Use Pro Quest
International Trade Association at http://www.ita.doc.gov
World Bank at http://www.worldbank.org
Bloomberg, Reuters
4
Name of the course:
Course code:
BANKING
14.3III71AI06_4
Department of Finance
Form of studies:
Education profile:
Specialization:
Full-time bachelor
academic
Year / semester
I/2 sem.
Field of study
English
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
15
hours
Dr Dorota Skała, dskala@wneiz.pl 91 444 1949
Course requirements
The goal of this course is to introduce topics that may be used to identify and
understand the primary processes taking place within the banking system
The student understands the basic functionality of financial institutions, has an
ability to analyse basic processes taking place in the financial sector, understands
the need for the continuous study process
Number of
Course content
hours
1. The structure and changes within the modern banking system. Ownership changes. Regulatory
framework. The role and types of banks. The role of banking systems in modern economies.
2. The banking system and the financial safety net. Banking supervision and deposit insurance
systems. Moral hazard problems.
3. Central banks. Monetary policy; tools and contemporary challenges; monetary transmission
mecanism.
4. Assets and liabilities management in banking. Bank risk – credit risk, liquidity risk, market risk
and operational risk.
5. Bank capital, capital adequacy, Basle I, II and III agreements.
6. Securitisation of bank assets, MBS, ABS and Pfandbriefe. Toxic assets. The roots and
implications of financial crises and financial crisis of 2007-2009.
TOTAL
Form of the course – tutorial
1. The analysis of changes in the modern banking systems. Privatisation, nationalisation and
shareholder structure, private versus public banks – discussion.
2. Analysis of central bank decision making process and the main monetary policy tools.
3
2
3
3
2
2
15
2
2
3. Bank balance sheet and income statement analysis
2
4. Main elements of the asset and liability transactions and intermediation functions of commercial
banks, banking activities within the regulatory framework.
5. Bank risk – credit risk (case study).
2
6. Market risk and capital adequacy: problem solving, calculations.
2
7. Student presentations – analysis of chosen banks, in the context of their shareholder structure,
2
2
size, market position, profitability and risk.
8. Written test.
1
15
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
Powerpoint presentations, text analysis and discussion, team projects (student presenations)
Tutorial grading: Written test (80% points) and student presentations (20%). Written test –
multiple choice test (80% points), with 2-4 additional short questions and/or problems to
solve (20% points). Student presentations – group projects (3-4 students) – oral
presentations of chosen banks during the final class. Written test grading: 50% pass, 75%
grade 4.0. Students must pass the written test in order to pass the tutorial.
Literature:
B. Casu, C. Girardone, P. Molyneux, Introduction to Banking, Prentice Hall 2006.
Additional literature:
T.W. Koch, S. Scott MacDonald, Bank Management, South-Western College Pub, 2009
M. Choudhry,The Principles of Banking, Wiley 2012
ECTS
4
Name of the course:
Course code:
FUNDAMENTALS OF FINANCE
14.3III71AI06_7
Department of Finance
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
I/1 sem.
Field of study
English
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
15
hours
Dr Dorota Skała, dskala@wneiz.pl 91 444 1949
Course requirements
The goal of this course is to introduce and identify the processes taking place within
the financial system, both on a national and international level
The student has basic knowledge of the social and political framework, as well as
basic understanding of the business environment; is capable of solving basic
mathematical problems; is able to use academic sources from both the internet and
the literature.
Number of
Course content
hours
1. The field and functions of finance. Money as building block of financial phenomena.
2
2. Financial system – functions and structure.
2
3. Monetary and non-monetary financial institutions.
2
4. Non-financial institutions- firms, households versus financial institutions
3
5. Interest rates and exchange rate as determinants of the finanicial market outcomes.
2
6. Central bank and its role in stabilising monetary conditions.
2
7. The euro as the common European currency – prospects and challenges.
2
8. Fiscal and monetary policy interactions (policy mix)
1
TOTAL
15
Form of the course – tutorial
1. The evolution of finance and its main definitions. Liberalism and interventionism. The financial system.
2
2. Evolution of money forms, functions of money. The analysis of money creation on the basis of central
bank data. Inflation – forms and sources, measures.
3. Two tier banking systems. Central bank functions. Basic monetary policy tools.
2
4. The framework of commercial banking. Main banking operations.
2
5. Public finance and economic growth. Public sector and public finance sector. Public spending and
income. The public finance deficit.
6. Capital market institutions. The role of stock exchnage in the economy. Stock exchange indexes,
2
2
2
investment funds. Financial instruments, liquidity and risk.
7. Written test.
2
TOTAL
Education methods
Verification methods of
education effects
Form and terms of
examination
Basic bibliography
ECTS
15
Powerpoint presentations with comments on contemporary financial events; the analysis of
data and information sources (mainly internet based – central banks and main banks)
regarding the structure and evolution of banking system, with examples of basic financial
calculations, discussion
No of education effect
according to the syllabus
Written exam
1,2,3
Written test
4,5,6,
Evaluation of student participation in tutorials
7,8,9
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 (80% points) and student participation in tutorials (20%).
Written test – multiple choice test (80% points), with 2-4 additional short questions and/or
problems to solve (20% points). Written test grading: 50% pass, 75% grade 4.0. Students
must pass the written test in order to pass the tutorial.
F. Mishkin, Economics of Money, Banking and Financial Markets, 10th Edition, Prentice Hall
2012
Howell, Bein, The Economics of Money, Banking and Finance – a European text, Prentice
Hall 2008
R. Melicher, E. Norton, Introduction to Finance: Markets, Investments, and Financial
Management, Wiley 2011
Z. Bodie, R. Merton, D. Cleeton Financial Economics, Prentice Hall 2008
4
Name of the course:
MARKETING
Marketing Department
Form of studies:
Education profile: academic
Full-time Bachelor
Year / semester
I/2
Field of study
Form of the
lecture
exercises
laboratories
course
Number of
15
15
hours
Course code:
14.3.III.71AI09_11
Specialization:
english
convers.
seminar
other
Dr hab. Prof. US Edyta Rudawska edyta@rudawska.pl
The aim is to present the essence of the concept of marketing as a way for running
a business
Course requirements
• In the field of knowledge - student defines the basic concepts of economic
• In the field of skills – student is able to analyse the rules of the market
mechanism
• In the field competences (attitudes) - student is able to work in a team and
take the discussion in a specified area
Number of
Course content
hours
Form of the course – e.g. lecture
1. The development of marketing concept
2
2. Marketing environment
2
3. Market segmentation, targeting and positioning
3
4. The development of product concept
2
5. Pricing strategies
2
6. Managing marketing channels
2
7. Marketing communication
2
15
Form of the course – e.g. exercices
1. Getting familiar with the specific marketing-oriented companies
2
2. The analysis of market environment
2
3. Running the process of target market
3
4. The development of the concept of the product and product life cycle for the selected product
2
5. Establishing prices and strategies for price differentiation
2
6. Selection of the method of distribution of the selected offer
2
7. Preparation of promotional activities for the selected company
2
TOTAL
15
Education methods
Multimedia presentation, discussion, case studies, group work, presentation of the project by
the students
Form and terms of
examination
Form and terms of writing test
• a written test (single questions and multiple-choice and open questions) is to verify the
knowledge and skills of students
Evaluation:
• The student receives adequate assessment if he receives at least 70% of the points
available
• The student receives a good mark if he receives at least 80% of the points available
• The student receives a very good if he receives at least 90% of the points available
Basic bibliography

Ph. Kotler, Marketing Management. Analysis, planning, implementation, and
control, Prentice Hall 1997
ECTS
3
Name of the course:
LINEAR ALGEBRA
Course code:
14.3.III.71AI05_14
Econometrics and Statistics Department
Form of studies:
Education profile:
academic
field
Full-time Bachelor
Year / semester
I/II
Form of the
lecture
course
Number of
15
hours
Course requirements
exercises
laboratories
Specialization:
english
convers.
seminar
other
30
dr Małgorzata Guzowska, mguzowska@wneiz.pl, 91 444 1966
Completing and revising mathematical knowledge so that the students can
successfully study the state-of-art economics, statistics and econometrics as well as
other fields of science where economic calculation plays a fundamental role and
which deal with best practices in decision-making
Initial requirements:
 knowledge: a candidate demonstrates the knowledge of mathematics on the
basic high school level;
 skills: a candidate can solve mathematical problems on the elementary level;
 competence (attitude): a candidate demonstrates excellent learning skills.
Number of
Course content
hours
1. Basic algebraic structures.
2. Vector spaces: linear combination and linear independence of vector, bases and dimension for vector
spaces.
3. Algebraic operations on matrices and their properties.
2
4. Determinants. Laplace’s expansion. Trace and rank of a matrix.
2
5. Inverse of matrices. Matrices equation.
2
6. System of linear equations and it solutions.
7. 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 their
application in economics.
2
2
2
3
15
1., 2. Vector spaces: linear combination and linear independence of vector, bases and dimension for
vector spaces,
3. Algebraic operations on matrices: matrix addition, scalar multiplication, transpose and matrix
multiplication.
4
2
4. Determinants. Laplace’s expansion. Properties of the determinant
2
5., 6. Inverse of matrices. Matrices equation.
7., 8. i 9. Systems of linear equations and methods of solving them (Gaussian elimination, Cramer
method, Kronecker – Capelli theorem).
10., 11. Systems of linear inequalities.
12., 13. Linear and quadratic forms. Canonical form of a square form. Classification of quadratic forms,
Sylvester's law. Eigenvalues and eigenvectors.
14. Application of linear algebra in economics.
4
15. Test.
2
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
ECTS
6
4
4
2
30
Lectures with slides shows. Exercises - problem solving
Credits are given to students who have learned the following skills, buy:
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 50 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
concerning knowledge. It consists of 10 questions. The passing score is 60%.
1. B.Batóg, I.Foryś, M.Guzowska, K.Heberlein, Matematyka dla studentów kierunków
ekonomicznych, Katedra Ekonometrii i Statystyki Uniwersytetu Szczecińskiego, Szczecin
2004.
2. C. Edwards, D. Penney, Differential equations and Linear Algebra, Pearson Prentice Hall,
New Jersey 2005.
3. V. Ilyin, E. Poznyak, Linear Algebra, MIRPublisher, Moscow, 1986.
G. Strang, Linear Algebra And Itís Application, (3rd Ed), 2003.
4
Name of the course:
Course code:
STATISTICAL INFERENCE
14.3.III.71AI05_19
Department of Statistics and Econometrics / Department of Insurance and Capital Markets
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
1 year/ 2 semester
Field of study
english
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
30
hours
Christian Lis, PhD, chrislis@wneiz.pl
Course requirements
Acquisition of the ability to apply statistical inference methods in the study of
economic and social phenomena.
– knowledge of measures describing the structure of the population, measures of
coexistence relations (correlation coefficient, 2 statistic)
 ability to apply the methods of the subject "Descriptive and Economic Statistics"
 ability to apply the methods of the "Mathematics" module.
Number of
Course content
hours
1 Transformations of random variables, linear transformations of variables with normal distribution.
Nonlinear transformations of variables with normal distribution.
2 Sampling, simple samples.
3 Point estimation assumptions, estimators - their properties and distributions. Error of estimator.
Estimates of estimators and errors of estimators. Interval estimation.
4 Methods of obtaining estimators - method of maximum likelihood, method of moments.
5 Concept and types of statistical hypotheses, I and II type error in the hypotheses verification, critical
regions of the tests.
6 Parametric tests, testing stages, test for the parameters describing structures, correlation and
regression coefficients significance tests.
7 Nonparametric tests: tests of compliance with a hypothetical distribution, test of randomness, test of two
structures compatibility (Kolmogorov-Smirnov)
TOTAL
2
2
2
2
2
1
4
15
1 Interval and point estimation in the structure analysis. Error and accuracy of estimation.
4
2 Interval and point estimation in the interdependence analysis.
4
3 The maximum likelihood method. The method of moments.
4 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.
4
6
5 Verification of parametric hypothesis in the analysis of interdependence. Tests of significance.
6 Nonparametric tests of empirical distributions compatibility with a normal distribution ( 2, Kolmogorov
compatibility tests), 2 test of independence.
7 Assessment in writing (problem solving).
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
2
4
6
30
The course comprises lectures using (where appropriate) transparencies/presentations
concerning random variables and exercises - working individually and in groups.
Assessment form of exercises content:
 Students are assessed on the basis of three written tests covering writing skills
verification based on solving practical tasks of interval estimation and verification of
parametric and nonparametric hypotheses according to the material provided on
exercises (students can use standardized statistical tables and formulas).
Coursework must be included for a minimum of 60%.
Assessment form of lectures content:
 written test concerning knowledge of the effects 01, 02, 03. This includes openended questions relating to analytical examples related to research conducted by
the Central Statistical Office by representative method (effect 07), in which the
student must demonstrate knowledge of the principles necessary to drive the
estimation and verification of statistical measures. During the exam students may
use the standardized statistical tables and formulas.
Rating:
 The student receives a sufficient assessment - when he can set confidence
intervals for the mean, standard deviation, fractions, correlation coefficient,
independently perform verification of statistical hypotheses concerning one and two
parameters of structure of the population, correctly defining the critical region of the
test, knows estimators property, knows the properties of a normal distribution,
hypothesis verification steps, can properly perform selected nonparametric test.
 Student receives a good mark - if he can also do interval estimation judging error
and precision of estimation, is able to assess the statistical significance of the
correlation parameter, is able to characterize concepts of the theoretical
foundations of the transformation of random variables distributions, including correct
interpretation of values read from standard distribution tables, such as t-test, 2 and
Fisher-Snedecor, recognizes properties of estimators, can explain by the chosen
method the way of obtaining estimators, is able to check by appropriate test the
compatibility of the empirical distribution with a normal distribution and conduct 2
test of independence.
 The student receives a very good mark - if can also explain the theoretical basis of
estimation and verification of statistical hypotheses, knows the properties of
checking statistics, can explain by means of maximum likelihood method and
method of moments the way of estimator acquisition and appoint a II type error in
statistical test.
Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K.: Statystyka w zadaniach. Cz. II.
Wydawnictwo Naukowo-Techniczne, Warszawa 2005.
Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K.: Wzory i tablice statystyczne. Katedra
Ekonometrii i Statystyki Uniwersytetu Szczecińskiego. Stowarzyszenie Pomoc i Rozwój,
Szczecin 1997.
Gersternkorn T., Śródka T.: Kombinatoryka i rachunek prawdopodobieństwa. PWN,
Warszawa 1967.
Hozer J., Kolanko E., Korol M., Lasota B., Witek M.: Statystyka. Część II. Wnioskowanie
statystyczne. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego, Szczecin 1994.
Krysicki W., Bartos J. i in.: Rachunek prawdopodobieństwa i statystyka matematyczna w
zadaniach, PWN, Warszawa 1993
ECTS
Zając K.: Zarys metod statystycznych, PWE, Warszawa 1994.
Zeliaś A.: Metody statystyczne, PWE, Warszawa
GUS methodological publications.
3
Name of the course:
Course code:
MULTIMEDIA APPLICATIONS IN BUSINESS
14.3.III.71AI02_24
Institute of IT in Management
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
1/II
Field of study
english
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
15
hours
dr Grzegorz Wojarnik, grzegorz.wojarnik.us@gmail.com, 91 444 1907
Students preparing to communicate effectively with contemporary tools and
resources to build the audiovisual and multimedia presentations and applications for
business purposes
Course requirements
Course content
Number of
hours
The essence of multimedia. Classification models of multimedia systems, multimedia data manipulation,
multimedia equipment
Images, audio, animation, video, interactivity, graphics and audio conversion
2
Design of using multimedia techniques. Stages of design, multimedia production categories
2
Computer graphics - graphics types, formats, software, automatic animation, video morfowanie
Areas of use of multimedia in the enterprise, teaching, remote education, entertainment, media
advertising, internet marketing
Multimedia communication. Videoconferencing, categories of communication systems
2
Access network technologies
2
Examples of applications and prepare a multimedia presentation in Microsoft PowerPoint or Flash
2
1
2
2
15
Fom of the course – e.g. laboratories
Discussion topics laboratories and the introduction to HTML
2
Introduction to Microsoft Silverlight program design, the main menu tool
1
The use of C # in Silverlight
2
Rules of XAML language
3
Basic XAML controls
3
Silverlight multimedia elements
4
TOTAL
15
Education methods
Multimedia presentation, teamwork, project in MS Silverlight technology
Completion of the course - which is the final animation project prepared in MS Silverlight and
test in the lecture
The final grade is affected 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).
Form and terms of
examination
evaluation
Student receives adequate grade (more than 50 pts), credited a positive test in the lecture
and use static elements available in Microsoft Silverlight.
The student receives a good grade (more than 75 points), while also use the animation
created in MS Silverlight controls responsible for the animation effects.
Basic bibliography
ECTS
The student receives a very good (more than 90 points), while also join the public of
presenting the results of his work on the project of the group.
1. Praca zbiorowa pod redakcją Agnieszki Szewczyk: Multimedia w biznesie, Difin,
Warszawa 2008
2. L. Kiełtyka Multimedia w biznesie i zarządzaniu, Difin 2009
1. T. Rudny Multimedia i grafika komputerowa. Podręcznik do nauki zawodu
technik informatyk, Wyd. Helion 2010
2. R. Parent Animacja komputerowa. Algorytmy i techniki, PWN 2011
3. J. Anderson, J. McRee, R. Wilson: Effective UI, O'Reilly 2010
4. R. Troncy, B. Huet, S. Schenk: Multimedia Semantics, Wiley 2011
3
Name of the course:
Team work management
Department Microeconomics
Course code:
14.3III71AI10_36
Form of studies:
Full-time Bachelor
Year / semester
I/2
Form of the
lecture
course
Number of
15
hours
Education profile:
academic
Field of study
exercises
laboratories
Specialization:
english
convers.
seminar
other
Dr Jarosław Korpysa
The purpose of this course is to apply the basic principles of
leadership by developing the practical skills necessary to team work
management in a realistic context.
Course requirements
The basic knowledge of human resources, communication, strategic
planning is required
Course content
Number of
hours
Lecture
Qualities and attribute of teamwork
3
Stages of group development
2
Methodology of teambuilding
2
Communication skills
2
Managing conflict
2
Team problem-solving
2
Leading positive change
2
TOTAL
15
Education methods
Lectures, power point presentation, video and film, group discussions
Form and terms of
examination
The average mark of the completed reports from the practical case studies
and of the mark for the theoretical knowledge (final test)
Basic bibliography
 Abele, J. 2011. Bringing minds together. Harvard Business Review
(July/August)
 Adler, P. S. and C. X. Chen. 2011. Combining creativity and control:
Understanding individual motivation in large-scale collaborative creativity.
Accounting, Organizations and Society 36(2)
 Lehman, C. M. and D. D. DuFrene. 2010. Business Communication with
Teams Handbook. South-Western College Pub
 Lencioni, P. 2005. Overcoming the Five Dysfunctions of a Team: A Field
Guide for Leaders, Managers, and Facilitators. Jossey-Bass.
Wachter, M. 2002. 8 Lies of Teamwork. Corporateimpact
ECTS
 Edmondson, A. C. 2012. Teamwork on the fly: How to master the new art
of teaming. Harvard Business Review (April)
 Van Der Vegt, G. S. and J. S. Bunderson. 2005. Learning and
performance in multidisciplinary teams: The importance of collective
team identification. The Academy of Management Journal 48(3)
 Oakley, B., R. M. Felder, R. Brent and I. Elhajj. 2004. Turning student
groups into effective teams. J. Student Centered Learning 2(1)
2
Name of the course:
Course code:
ECONOMIC POLICY
14.3III71AI12_10
Department of Socio-Economic Policy and European Regional Studies
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
II year/3 sem
Field of study
english
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
hours
dr Anna Katoła
Course requirements
To familiarize students with the basic knowledge of economic policy, in
particular illustrate the economic impact of regulation and state
intervention in the economy.
Get to know the origins, the essence, purpose, functions and instruments
of various economic policies.
 knowledge: of issues of macroeconomics and microeconomics and
public finance basics
 skills: the ability to analyze, teamwork, a student has the ability to
think logically
 competence: the student should be open for discussion and
conversation
Number of
Course content
hours
Lecture
1. Concept, determinants and economic policy objectives. Functions and fields of
economic policy.
2. Instruments of economic policy: fiscal policy, monetary policy, income policy
2
2
3. Counter-cyclical policy and contemporary crises
4. Economic growth and development - the basic problems. Pro-growth policies. Types of
strategies development. Development strategy for the Polish market.
5. Industrial policy. The investment policy. Science and innovation policy.- and other
growth factors
6. Structural policy. Structural changes in the economy. Types and structural policies.
Structural problems of transition.
7. Labor market regulation. Employment policy and its functions. Instrumentation.
2
8. Economic policy of the European Union
1
9. Regional economic policy in Poland and the European Union
1
10. Summary of subject. Overview of the main findings.
Total
1
2
1
1
2
15
Education methods
Form and terms of
examination
1.
2.
3.
4.
multimedia presentation
working in groups
preparing project
analysis of the texts and discussion about it
Students are evaluated based on:
Exercise: The basis of the assessment are: the results of teamwork - the
presentation of the study (50%), knowledge of the test results (30%) and class
participation (20%)



Basic bibliography









ECTS
Kryk B. (red.), Polityka gospodarcza, Wyd. Economicus, Szczecin 2012.
Acocella N., Wojtyna A., Zasady polityki gospodarczej: wartości i metody
analizy, Wyd. Naukowe PWN, Warszawa 2002.
Włudyka T. (red.), Polityka gospodarcza, Oficyna Wolters Kluwer Polska
2007.
Winiarski B. (red.), Polityka gospodarcza, Wyd. Naukowe PWN, Warszawa
2006.
Mazurkiewicz E. (red.), Polityka gospodarcza, Warszawa 2000.
Polityka gospodarcza, red. H. Ćwikliński, Uniwersytet Gdański, Gdańsk
1997.
Horodecka A., Ewolucja celów polityki gospodarczej. Rola zmian otoczenia,
PWN, 2008.
Murray N. R., Interwencjonizm, czyli władza o rynek, Wyd. Fijorr, ChicagoWarszawa, 2009.
Noga M., M.K. Stawiska M.K., Modele rozwoju gospodarczego dla Polski w
dobie integracji europejskiej i globalizacji, CeDeWu, 2009.
Friedman M., Ile państwa w gospodarce, C.H. Beck, 2008.
Prysznic U.K., Regulowana gospodarka rynkowa, Oficyna Ekonomiczna,
Kraków 2003.
L. Zienkowski, Wiedza a wzrost gospodarczy, Scholar, Warszawa 2003.
2
Name of the course: ECONOMETRICS
Course code:
14.3.III.71AI05_16
Name of the unit giving the course: Department of Econometrics and Statistics
Form of studies:
Full-time Bachelor
Year / semester
II/3
Form of the
lecture
course
Number of
15
hours
Education profile:
academic
Field of study
exercises
laboratories
15
15
Course requirements
Specialization:
English
convers.
seminar
other
dr hab. Jacek Batóg, batog@wneiz.pl, 91 444 1973
Acquirement of basic knowledge on econometric methods and their applications in
quantitative analysis of economic processes as well as possession of skills of
exploitation of chosen function of Excel spreadsheet and STATISTICA programme
related to estimation and verification of linear econometric models
Student in the area of:
 knowledge: shows acquaintance of problems and methods of algebra,
mathematical analysis, descriptive statistics, probability theory, mathematical
statistics and basics of macroeconomics, microeconomics and finance
 skills: can perform basic mathematical operations, calculate chosen statistical
measures, verify hypothesis and use basic function of Excel spreadsheet
 competences (attitude): can individually use bibliography as well as prepare
information on indicated topic
Number of
Course content
hours
Definition and subject of econometrics. Types of statistical regularities. Econometric model
2
Stages of econometric modelling
2
Estimation of structural parameters of econometric models – OLS
3
Verification of econometric models. Chosen challenges of building of econometric models
3
Nonlinear models – building and applications
2
Econometric forecasting – introduction
3
TOTAL
15
Specification of independent variables
2
Selection of analytical form of econometric models
2
Estimation and verification of linear econometric models
Nonlinear models in analysis of economic phenomena
4
Econometric forecasting
2
3
Test
2
TOTAL
15
Form of the course – laboratory
Examples of specification of independent variables
2
Examples of selection of analytical form of econometric models
2
Examples of estimation and verification of linear econometric models
Exploitation of nonlinear models in analysis of economic phenomena
4
Examples of econometric forecasting
2
Project
2
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
ECTS
3
15
Lectures with use of multimedia presentations. Solving problems by means of Excel
spreadsheet and STATISTICA programme. Team work oriented on project preparation.
Form and requirements of exercise and laboratory credit:
 students are assessed by means of test, which verify of achievement of educational
effects of skills (3 assignments) – exercises, and their group project, which verify
achievement of educational effects of skills as well as effects in social competences laboratory (during the test students are allowed to use statistical tables and selfprepared formulas).
Form and requirements of exam:
 students are assessed by means of oral exam (2 questions) which allows to verify of
achievement of educational effects of knowledge (after drawing of questions students
have some minutes to prepare and write their answers).
Final credit:
 student can be granted a satisfactory credit – when he is able to discuss problems
related to statistical regularities, formulation of model hypothesis, estimation of structural
parameters and verification of econometric models, 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 (weight 0,3) and exam (weight 0,4)
1. Johnston J.: Econometric methods, McGraw-Hill International Edition, Economic series,
3rd Edition 1991.
2. Greene W.H.: Econometric Analysis, Prentice Hall, 5th Edition 2003.
3. Hayashi F.: Econometrics, Princeton University Press 2001.
1. Ekonometria (J. Hozer ed.), Katedra Ekonometrii i Statystyki, Stowarzyszenie Pomoc
i Rozwój, Szczecin 1997.
2. Ekonometria stosowana w przykładach i zadaniach, (J. Hozer ed.), Katedra Ekonometrii
i Statystyki US, Stowarzyszenie Pomoc i Rozwój, Szczecin 2007.
3. Maddala G.S.: Ekonometria, Wydawnictwo Naukowe PWN, Warszawa 2006.
3
Name of the course:
Course code:
FINANCIAL AND ACTUARIAL MATHEMATICS
14.3.III.71AI05_17
Dapartment of Insurance and Capital Markets, Department of Statistics and Econometrics
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
2/III
Field of study
english
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
15
15
hours
Dr hab. Iwona Foryś, forys@wneiz.pl, +91 444 19 78,
Course requirements
Obtaining basic knowledge of calculating the value of money over time, getting to
know the basic principles and rules applicable in the financial and insurance
issues. Acquisition of the ability to use known methods in the analysis of
economic and financial developments.
 knowledge of the fundamentals of mathematical analysis, probability,
descriptive statistics, and math, entrepreneurship, finance and banking,
 using the methods of the subject "Mathematics" as in force on graduation
(basic), to use the basic functions of Excel spreadsheet
 the ability to work in a team, the ability to independently use the available
literature.
Number of
Course content
hours
The possibilities of using mathematics in finance. The theory of interest. Time Value of Money (current and
future).
Capitalizations of simple, compound, continuous. The intensity of interest. The capitalization of the variable
interest rate. Simple and compound discounts.
Interest rates - concepts and types. The rate of return. Nominal rate, effective, real. Methods for estimating
the discount rate.
Rent account (the current value and future cash flows). Annuity century. Create a pension fund. Fixed
Annuities, growing in arithmetic and geometric progression. Annuities generalized.
Schedules for repayment of loans. Debt cancellation plans. Rules repayment. Fixed repayment
installments combined. Conversion and debt consolidation.
The use of mathematical finance fixed assets in the economy. Review of methods
evaluate the effectiveness of investment projects. Dynamic methods of evaluation of investment projects.
Fundamentals of actuarial calculation. Calculation of insurance premiums
TOTAL
2
2
2
2
2
2
3
15
Introduction to time value of money. Percentage of simple and complex. Determining the value of current
2
and future.
Nominal rate, effective and real rate. Equivalent rate. The intensity of interest. The capitalization of the
variable interest rate.
Sequences of payment. Annuities compatible and incompatible. Fixed annuity amount. Annuities forming
an arithmetic progression, forming a series of geometric pension, annuity generalized.
The principle of equivalence and installment debt, loan schemes. Conversion. Loans with grace period.
Consolidation.
Dynamic measures of evaluation of investment projects.
2
3
2
2
Calculation of insurance premiums
2
Verification of knowledge and skills
2
TOTAL
15
Form of the course – laboratories
The possibilities of using basic formulas in Excel spreadsheet for determining the current and future value.
Determination of the effective rate.
Discount rate methods.
2
Compatible and incompatible annuities. Arithmetic and geometric annuities.
2
Construction of annuity repayment plan with decreasing and selected rate.
2
Conversion of debt. Loans with grace period. Consolidation.
2
Investment projects evaluation.
2
Insurance premiums calculations. Life tables.
3
TOTAL
Education methods
2
15
The course comprises lectures with a presentation of research of economic and financial
developments and simulations, exercises, and labs - work individually and in groups.
The form and terms of credit:
–
Form and terms of
examination
students are assessed on the basis of a written exam covering the skills
verification based on solving the tasks of calculating the time value of money,
loan repayment scheduling, evaluation of investment projects and the calculation
of insurance premiums. Students can use the credit of the unified array of
patterns. Coursework must be included for a minimum of 51%. Evaluation of the
test is 60% of the assessment of the credit. The remaining 40% of the final result
is dependent on group presentations (in groups of 2-3 people) on creative
problem-solving approach to financial and insurance services, financial functions
use an Excel spreadsheet, and the interpretation and assessment of decisionmaking, the teacher presented the consultation exercise.
–
written examination testing the knowledge and skills of students in the use of
known methods describe financial phenomena. The exam includes a theoretical
part (about 80% of the points - open-ended questions) and part of the task force
(about 20% of the points), in which the student must demonstrate knowledge of
the principles and properties of mathematical methods used in assessing the
effects of financial and insurance services. Students during the exam can benefit
from unified tables with patterns.
Rating:

Basic bibliography



– a student receives a sufficient assessment of - if knows the basic concepts of
financial mathematics, can determine the value of current and future, and the
interest rate using the percentage of simple and complex, set foot equivalent,
effective and viable, determine the value of current and future fixed annuity
payable in arrears or in advance, make a schedule for the repayment of the loan
and decreasing annuity, evaluate investment projects using basic dynamic
assessment measures (NPV, IRR);
– a student receives a good mark - if it can also estimate the discount rate using
financial models, either the current and future value and the amount of payment
and the number of units for rent payable in arithmetic or geometric progression
and deferred annuities; building loan repayment schedule in the event of a
withdrawal, makes debt consolidation, can evaluate an investment project with the
use of less popular measures (eg, NPVR, MIRR, PI, DBP).
– a student receives a very good - if it can also explain the issues related to the
intensity and the capitalization rate constant, can determine the status of the
pension fund, pension generalized conversion makes for a simple, able to make a
loan repayment schedule for special operations (eg, one-time payment of
principal or interest) , knows the modern financial models, able to analyze
selected financial phenomenon, together with the interpretation of the results and
evaluation of the consequences of decisions made, can discuss and solve the
tasks of calculating insurance rates.
Karatzas, Ioannis; Shreve, Steve: Methods of Mathematical Finance. Secaucus, NJ,
USA: Springer-Verlag New York 1998, Incorporated.
Matłoka M.: Matematyka w finansach i bankowości, Akademia Ekonomiczna w
Poznaniu, Poznań 2000.
Podgórska M., Klimkowska J.: Matematyka finansowa, PWN, Warszawa 2005.
Smaga E.: Arytmetyka finansowa, PWN, Warszawa 2000.
 Borowski J., Goplański R., Kasprzak K., Melon L., Podgórska M.: Matematyka
finansowa – przykłady, zadania testy, rozwiązania, Szkoła Główna Handlowa,
Warszawa 2003.

Foltynowicz I.: Ćwiczenia z matematyki finansowej w Excelu: w poszukiwaniu równań
bankierów, Mikom, Warszawa 2001.
 Jaworski P., Micał J.: Modelowanie matematyczne w finansach i ubezpieczeniach,
Poltext, Warszawa 2005.
 Sharpe W., Investments, Prentice-Hall, 1985
TOTAL student’s work load in hours
3
Name of the course:
INTRODUCTION TO PROGRAMMING
Institute of IT in Management
Course code:
14.3.III.71AI02_25
Form of studies:
Full-time Bachelor
Year / semester
2 / III
Form of the
lecture
course
Number of
15
hours
Course teacher
Education profile:
academic
Field of study
exercises
laboratories
Specialization:
english
convers.
seminar
other
30
dr hab. Jakub Swacha, jakubs@uoo.univ.szczecin.pl, tel. 91 444 19 96
lecture: dr hab. Jakub Swacha
laboratories: dr inż. Luiza Fabisiak, mgr Anna Łatuszyńska, mgr Artur Kulpa, mgr
Tomasz Komorowski, mgr Tomasz Zdziebko
1. Acquire knowledge of computer programming on the example of the
Python language.
2. Master practical skills of programming in Python.
Course requirements
Knowledge of basic computer skills.
Course content
Fom of the course – lecture
1. Basic terminology of programming. Methods of algorithm specification
Number of
hours
2
2. Computer as an object of programming
2
3. Programming languages. Programming paradigms
2
4. The components of program. Simple and complex instructions
2
5. Strings, lists, tuples and their processing
2
6. Functions and modules
2
7. Dictionaries and sets. Files and databases
2
8. Software testing and documenting
1
15
1. Basics of Python syntax
2
2. Simple programs. Using conditional statements
3
3. Using loops. Processing of complex data types
6
4. Built-in functions and modules. Objects and methods
4
5. Defining functions and classes. Recursive functions
6
6. Files and databases
4
7. Testing programs
5
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
ECTS
30
• lecture supported with multimedia presentation
• application development, programming
• case study
• problem solving
• working in groups
• project development
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%.
1. 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/.
2. Mark Lutz, David Ascher (2004). Learning Python. Sebastopol, CA, USA: O’Reilly.
3. 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/.
4. http://www.codecademy.com/.
3
Name of the course:
DECISION SUPPORT SYSTEMS
Course code:
14.3.III.71AI02_33
Form of studies:
Full-time Bachelor
Year / semester
Form of the
lecture
course
Number of
15
hours
Education profile:
academic
Field of study
exercises
laboratories
Specialization:
English
convers.
seminar
other
15
Zygmunt Drążek, drazek@wneiz.pl
The aim of the course is to show the possibility of using computer to formalize,
model and simulate the decision-making processes and of using software tools and
environments, which, basing on qualitative and quantitative data, support the
decisions of managers at all levels of enterprise management.
Course requirements
Computer science basics, general knowledge of the functions and application areas
of management information systems, a good knowledge of spreadsheets.
Course content
1. Types of decisions at different levels of management, approaches to their formalization,
information in decision-making, Decision Support Systems (DSS) - definitions, functions and
characteristics of the components.
2. The modeling process of decision situations. Computer analysis of economic systems.
3. Study of the applicability of software to support digital modeling of economic systems and
decision situations. The DSS, EIS, MSS systems and the role of data banks, methods, models
and knowledge in the decision support process. Integrated decision support system.
4. Problems with mapping multidimensional structures and hierarchical consolidation of results in
decision support systems. Data warehouses in decision support. The use of ETL, OLAP and
Data Mining technology.
5. Business Intelligence technology and Business Intelligence applications in assisting
management and delivering information. Characteristics of the BI market in the world and in
Poland.
6. Corporate Performance Management systems and the use of web technology in supporting
decisions in a company.
7. Artificial intelligence and expert systems as a class of knowledge-based systems.
TOTAL
1. Division into 2-3 persons’ groups for company description, to which the developed models will
apply and application of software tools during laboratories and a concept of an integrated
decision support system as an application of the theses presented during the lecture.
2. Computer modeling of decision problems based on qualitative and quantitative data using Naylor
procedure
Number of
hours
2
2
3
2
2
2
2
15
1
2
3. Computer modeling of the qualitative multi-criteria decision problems with the use of AHP
(Analytic Hierarchy Process) and ELECTRE methods.
4. Design and generation of analyses supporting manager’s decisions for various levels of
management.
5. Examples of the use of data warehouses
3
6. The methods of artificial intelligence and expert systems
2
7. Construction of multidimensional analyses using OLAP (On-line Analytical Processing ) tools
2
8. Assessment
1
TOTAL
Education methods
2
2
15
Lectures with multimedia presentations. During laboratories application software and elearning system will be used.
Form and terms of
examination
Basic bibliography
ECTS
1. Bolesta-Kukułka K.; Decyzje menedżerskie. PWE, Warszawa 2003
2. Turban E., Aronson J.E.: Dicision Support Systems and intelligent Systems. Prentice
Hall 2006.
3. Kwiatkowska A., Systemy wspomagania decyzji. PWN 2007
4. Gluchowski P., Gabriel, Chamoni P.:: Management Support
Systeme..Computergestützte Informationssysteme für Führungskräfte und
Entscheidungsträger. Springer Verlag 2007.
5. Simon H. A. Podejmowanie decyzji i zarządzanie ludźmi w biznesie i administracji.
Helion 2009
6. Czermiński A., Systemy wspomagania decyzji w zarządzaniu przedsiębiorstwem.
Toruń 2002
7. Knosla R., Komputerowe wspomaganie zarządzania przedsiębiorstwem. PWE 2007
1. Radosiński E.: Systemy informatyczne w dynamicznej analizie decyzyjnej. PWN,
Warszawa-Wrocław 2001
2. Drążek Z.: Aspekty metodologiczne modelowania w zarządzaniu. Wyd. US, Szczecin
2005
3. Gawrońska-Nowak B., Walerysiak G., Decyzje ekonomiczne. Ujęcie ilościowe. PWE
2005
4. Kwiatkowska A.: ”Systemy wspomagania decyzji- jak korzystać z wiedzy i informacji w
praktyce”, Warszawa, PWN, 2007
5. KUSIAK J., DANIELECKA-TUŁECKA A., OPROCHA P.: „Optymalizacja, wybrane
metody i przykłady zastosowań”, PWN, 2009
3
Name of the course:
Course code:
STATISTICAL SOFTWARE APPLICATIONS
14.3III71AI05_31
ECONOMETRICS AND STATISTICS DEPARTMENT
ECONOMICS AND IT APPLICATIONS
Form of studies:
Education profile:
Specialization:
FULL-TIME BACHELOR
ACADEMIC
Year / semester
FIELD OF STUDY
ENGLISH
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
30
hours
Christian Lis, chrislis@wneiz.pl, 91 444-1963
Course requirements
to teach students handling of statistical software such as Analysis ToolPak,
Statistica, Gretl, GDM within the R statistical software environment, especially in
order to recognize and analyse statistical regularities of economic variables’
distributions, correlations between variables and dynamics of variables observed in
many markets.
 Knowledge: a knowledge of descriptive statistics, statistical inference,
econometric modelling and general economic knowledge of macro- and
microeconomics phenomena analysis is demanded.
 Skills: abilities to determining descriptive parameters in statistics, drawing
conclusions from data deriving from random sample, interpreting analysis
results and drawing logical conclusions as a result of inductive reasoning.
 Competencies (Attitudes): Student is aware of advantages and disadvantages
of using statistical computer software.
Number of
Course content
hours
1. Methods of distribution analysis for economic variables, using statistical software called Analysis
ToolPak (in Excel). Statistical data preparing and analysis with the use of tools such as Histogram,
Descriptive Statistics, Rank and Percentile.
2. Regression and correlation analysis for economic variables, using Analysis ToolPak’s tools such as
Covariance, Correlation, Regression.
3. The probability determining for selected distributions of random variables and statistical hypothesis
verification 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-Factor
without 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:
Two Sample for Means.
4. Statistica for Windows using in the distribution analysis for economic variables. Applications of
modules: Basic Statistics/Tables, Nonparametrics, Distribution Fitting, Probability Calculator.
5. Advanced linear and nonlinear models in the regression analysis. Applications of modules: General
Linear Models, Generalized Linear/Nonlinear Models, Nonlinear Estimation. Methods of nonlinear
estimation: Gauss-Newton method, Levenberg-Marquardt method, quasi-Newton method, HookeJeeves Pattern Moves, Simplex Procedure, Rosenbrock Pattern Search.
2
2
2
2
2
6. Time Series Analysis. Using of Statistica module Time series and forecasting. Census I and Census II
(X11/Y2k) – methods of seasonal decomposition.
7. Methods of the econometrical modelling. Another using of Statistica module Time series and
forecasting: trend analysis, analysis of seasonality and exponential smoothing models.
8. Measuring the similarity. Multidimensional comparative analysis in market research (market
segmentation and product positioning). Cluster analysis, factor analysis, classification trees, k-mean
method and multidimensional scaling. Application of GDM in R software environmental.
9. Measuring the similarity II. Examples of neural network application in regression and classification
problems.
10. Econometric modelling for spatial data in Gretl.
2
11. Econometric modelling for time series in Gretl.
12. Estimation in terms of the random component autocorrelation and heteroskedasticity. Generalized
least squares method in Gretl.
13. End-term test and the presentation of project
TOTAL
2
Education methods
Form and terms of
examination
Basic bibliography
ECTS
2
4
2
2
2
4
30
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 by teacher.
End-term test: Multiple-choice test
Project: individual work on the real economic problem that needs to sort out using of
advanced statistical computer software. Project is designed to verify student’s knowledge
and skills described in proper 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 least 60% of total points in each area:
test and project independently.
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 for the individual project 0,6 (weight wp=0,4), which means that the
final note is determined by equation: L(%) = wt*lt+wp*lp, where lt and lp is a percent of total
points accordingly from test and project.
Student gets 3,0 (sufficient), if L(%)<60%, 75%);
Student gets 4,0 (good), if L(%)<75%, 90%);
Student gets 5,0 (very good), if L(%)<90%, 100%>.
1. Abraham, B., & Ledolter, J. (1983). Statistical Methods for Forecasting. New York: Wiley.
2. Box, G. E. P., & Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control.
San Francisco: Holden-Day.
3. Maddala, G. S. (1977) Econometrics. New York: McGraw-Hill.
4. Minsky, M.L. and Papert, S.A. (1969). Perceptrons. Cambridge, MA: MIT Press.
5. Lewicki P., Hill T., STATISTICS Methods and Applications Book, StatSoft, Tulsa, 2007.
6. Beaver B., Beaver R., Statistics for Management and Economics, PWS-Kent Publishing
Company, Boston 1986.
1. Hogg, R. V., & Craig, A. T. (1970). Introduction to Mathematical Statistics. New York:
Macmillan.
2. Darlington, R. B. (1990). Regression and Linear Models. New York: McGraw-Hill.
3. Fausett, L. (1994). Fundamentals of Neural Networks. New York: Prentice Hall..
3
Name of the course:
Course code:
INVESTMENT ON THE CAPITAL MARKET
14.3III71AI05_50
Department of Insurance and Capital Markets
Economics and IT application
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
Field of study
english
Form of the
lecture
exercises
laboratories
convers.
seminar
other
course
Number of
15
15
hours
Dr Sebastian Majewski, fisherman@autograf.pl, +91 444 19 62
Course requirements
Acquire basic knowledge about the organization of the capital market as part of the
financial market. Introduction to methods of analysis of basic financial instruments,
methods and strategies of investing accessible to individual investors. The
indication of the benefits and threats of applied investment strategies.
 Student knows the basic economic and financial issues, has a basic knowledge
of mathematics, statistics, econometrics, financial mathematics, economics,
finance and financial analysis,
 Student is able to search the relationship between the economic and financial
phenomena, and to use the basic functions of Excel spreadsheet.
 Student has the ability to work in a team, has habits of lifelong learning.
Number of
Course content
hours
1. The nature and functions of the capital market as a part of the financial market. Principles of the Polish
capital market functioning.
2. Instruments of capital market.
2
3. Technical analysis - assumptions, charts, trends, formations and indicators.
2
4. Fundamental analysis - assumptions, steps of analysis.
5. Investing on the capital market - investment strategies, sources of information and their interpretation.
Short- and long-term investing.
6. The risk on the market and its valuation. Risk management.
2
7. Portfolio Analysis - selected methods.
2
7. Financial conglomerates - instruments from different market segments.
1
TOTAL
2
2
2
15
Form of the course – laboratory
1. Rate of return - the types and properties.
2
2. Technical analysis.
2
3. Fundamental analysis - static and dynamic analysis.
2
4. Market valuation of the shares.
2
5. Valuation of risk.
2
6. Portfolio's methods - Markowitz's and Sharpe's models.
3
7. Written test
2
TOTAL
15
Education methods
The course comprises lectures using multimedia tools and exercises in computer labs - solving problems form the
capital 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.
Form and terms of
examination
Form and terms of examination:
• Students are evaluated on the basis of a written test
Grading:
• Final evaluation will be positive if the student obtains more than 50% of the points of the
test.
Basic bibliography








ECTS
Tarczyński W.: Rynki kapitałowe. Metody ilościowe, Vol 1 i 2, Placet, Warszawa 1997.
Tarczyński W: Fundamentalny portfel papierów wartościowych, PWE, Warszawa 2002.
Jajuga K., Jajuga T.: Inwestycje. Instrumenty finansowe, aktywa niefinansowe, ryzyko
finansowe, inżynieria finansowa, PWN, Warszawa 2009.
Sopocko A.: Rynkowe instrumenty finansowe, PWN, Warszawa 2010.
Tarczyński W., Łuniewska M.: Dywersyfikacja ryzyka na polskim rynku kapitałowym,
Placet, Warszawa 2004.
Tarczyński W., Mojsiewicz M.: Zarządzanie ryzykiem. Podstawowe zagadnienia, PWE,
Warszawa 2001.
Haugen R.A.: Teoria nowoczesnego inwestowania, WIG-Press, Warszawa 1996.
Czekaj J.: Rynki, instrumenty i instytucje finansowe, PWN, Warszawa 2008.
3
Name of the course: ECONOMIC ANALYSIS IN ENTERPRISE
Course code:
14.3.III.71AI04_20
Name of the unit giving the course: Department of Business Analysis and Strategy
Form of studies:
Education profile:
Specialization:
Full-time Bachelor
academic
Year / semester
Form of the
lecture
course
Number of
15
hours
Course requirements
Field of study
exercises
laboratories
english
convers.
seminar
other
15
PhD Aleksandra Gąsior
Ability to search and measure relationships between economic phenomena in
business entities and the impact of the environment on their behavior.
Understanding and interpretation of using research methods by financial information
contained in the financial statements in order to make the right decisions and
efficient business management.
• knowledge - the student knows the basics of accounting, management, business
economics,
• skills - students can read with understanding basic information such as in the
financial statements and other sources,
• competence (attitudes) - student has instilled habits of lifelong learning, the ability
to work in a group and is prepared to observe and analyze the environment.
Number of
Course content
hours
Form of the course – e.g. lecture
L1 - The nature and role of analysis in business management.
L2 - Criteria for the classification of economic analysis methods and their usefulness in the current market
conditions.
L3 - Characteristics of sources of information for economic analysis.
2h
L4 - A preliminary assessment of the situation of the assets.
2h
L5 - A preliminary assessment of the situation of the capital.
2h
L6 - Evaluation of short-term and long-term static liquidity.
2h
L7 - Cash conversion cycle.
1h
L8 - The nature and assessment of net working capital.
2h
2h
2h
Exercises:
E1 - Reading the basic financial statements of the selected companies.
E2 - Methods of economic analysis: logarithm and subsequent substitutions - tasks with two or three
factors.
E3 - A preliminary assessment of the situation the investigated company's assets.
2h
2h
2h
E4 - A preliminary assessment of the situation the investigated company's capital.
2h
E5 - Study of short-term and long-term financial static liquidity of company X.
2h
E6 – Establishing and interpretation of the cash conversion cycle (operating, net).
E7 - Evaluation of net working capital in the company X. Identifying and interpretation of the cash
conversion cycle (operating, net).
E8 - Final test.
2h
TOTAL
Education methods
Form and terms of
examination
Basic bibliography
ECTS
2h
1h
30
Lectures, case study, exercises
Examination in writing form, including the question of theoretical and empirical task viewing
knowledge of methods and ability to interpret the results. The final grade is affected by the
activity in the classroom. The final grade is affected by the activity in the classroom. The
course ends with a written exam. Test tests the achievements in the field of knowledge
(theoretical questions) and student skill (practical tasks together with an interpretation).
 Essentials of Financial Analysis, G.T. Friedlob, L.F. Schleifer, John Wiley & Sons,
New Jersey Canada 2003.
 Fundamentals of Financial Management, E.F. Brigham, J.F. Houston, SouthWestern Cengage Learning 2009.
 Financial Analysis Tools and Techniques: A Guide for Managers, E. Helfert, The
McGraw-Hill Companies, New York USA 2001.
 Financial Analysis, Planning & Forecasting: Theory and Application, A.C. Lee, J.C.
Lee, C.F. Lee, World Scientific Publishing Co. Pte. Ltd., Singapore 2009.
 Fundamentals of Financial Management, E.F. Brigham, J.F. Houston, SouthWestern Cengage Learning 2009.
3
Part II
Courses In German language
Courses
Einführung in die BWL
Einführung in die Wirtschaftsinformatik
Lineare Systeme
Einführung in die Programmierung
Statistik
Analysis/Wahrscheinlichkeitsrechnung
Ökonometrie
Systemanalyse
Marketing
Semester
1
1
1
1
1
2
2
2
2
the number of
hours
60
90
60
90
60
120
60
60
60
Total
ECTS
5
5
5
5
5
10
5
5
5
Modulbeschreibungen
Name des Moduls
Einführung in die BWL
Inhalt
Vorlesunegn









Qualifikationsziel
Lehr- und
Lernform
Voraussetzung für
Teilnahme
Einführung In die BWL (2h SS)
Determinanten der Unternehmensstandort (3h SS)
Rechtsformen der Geschäftstätigkeit (4h SS)
Einführung in die Buchhaltung im Unternehmen (3h SS)
Unternehmensmanagement (4h SS)
Verkaufsplanung (3h SS)
Planung der Produktionsprozesse (4h SS)
Beschaffungsplanung (3h SS)
Investitions- und Finanzplanung (4h SS)
Übungen
 Diskussion von Grundfragen der Betriebswirtschaft + case study (2h SS)
 Auswahlverfahren des Standorts+ case study (3h SS)
 Auswahl der Rechtsform + case study (4h SS)
 Führung des Rechnungswesens im Unternehmen + case study (3h SS)
 Methoden der Unternehmensführung + case study (4h SS)
 Lieferung und Vertrieb - Planungsprozesse + case study (6h SS)
 Planung von Produktionsprozessen + case study (3h SS)
 Investitionen und Finanzen im Unternehmen + case study (3h SS)
Die Studenten erwerben das Grundwissen im Bereich von aktuellen
Problemen der BWL und erreichen auch die Kenntnisse, die effektiven
Lösungen zu finden.
Diskussion, Projekte, Präsentationen



Der Student kennt die Grundlagen von Mikroökonomie und
Unternehmenslehre.
Der Student kann die Aktivitätsarten des Unternehmens klassifizieren
und die Hauptfunktionalbereiche und ökonomische Aspekte des
Funktionierens nennen.
Der Student kann in der Gruppe arbeiten, versteht die Bedeutung des
lebenslangen Lernens, ist auf die Analyse, Schätzung und Ziehung der
Schlussfolgerungen von Case Studies vorbereitet.
Name des Moduls
Einführung in die Wirtschaftsinformatik
Inhalt
Vorlesungen






Qualifikationsziel
Lehr- und
Lernform
Übungen
 Entwicklung der Computer (Phasen und Etappen der Geschichte /
Computergenerationen / Klassifikation von Computern / Aufbau und
Funktionsweise /Architekturkonzepte)
 Datenträger und Computerperipherie
 Grundlagen der Datenorganisation (Informations- und Datenbegriff / Ziel
und Gegenstand der Datenorganisation / Dateiorganisation /
Datenbankorganisation / Datenspeicherung und –zugriff)
 Grundlagen des Softwareentwurfs (Entwurfsphasen und -stufen /
Vorgehensmodelle / Prinzipien, Methoden, Techniken / Strukturierter
Entwurf / Softwaremanagement)
Die Lehrveranstaltung dient der Vermittlung grundlegenden Wissens über die
Wirtschaftsinformatik. Hauptziel ist ein fundierter Einstieg in die
Wirtschaftsinformatik.



Voraussetzung für
Teilnahme
Gegenstand der Wirtschaftsinformatik (Gegenstandsbestimmung
Informatik / Entwicklungslinien und Säulen der Informatik /
Gegenstandsbestimmung WI / Aufgabenfelder und Disziplinen der WI /
Anwendungsgebiete der WI)
Entwicklung der Computer (Phasen und Etappen der Geschichte /
Computergenerationen / Klassifikation von Computern / Aufbau und
Funktionsweise /Architekturkonzepte)
Datenträger und Computerperipherie
Grundlagen der Datenorganisation (Informations- und Datenbegriff / Ziel
und Gegenstand der Datenorganisation / Dateiorganisation /
Datenbankorganisation / Datenspeicherung und –zugriff)
Grundlagen des Softwareentwurfs (Entwurfsphasen und -stufen /
Vorgehensmodelle / Prinzipien, Methoden, Techniken / Strukturierter
Entwurf / Softwaremanagement)
Überblick über Programmiersprachen (Generationen /
Anwendungsfelder / Beispiele)
Lehrvortrag, Computer gestützte Präsentationen, Skripte, Internet,
autonome Computernutzung, seminaristische Lehrveranstaltungen,
Seminarreferate,
multimediale Lernmittel auf der Basis der E-Learning-Plattform ILIAS
1. Kenntnisse entsprechend dem Verlauf des Regelstudienplans.
2. Die Teilnahme an den folgenden Modulen ist vorteilhaft:
 Grundlagen der Informatik
 Einführung in die BWL
 Einführung in die Programmierung.
Name des Moduls
Lineare Systeme
Inhalt
1. Lineare Algebra und ihre Anwendungen in der Wirtschaft
- Determinanten, Matrizen, lineare Gleichungssysteme, lineare
Ungleichungssysteme
2. Lineare Optimierung und ihre Anwendungen in der Wirtschaft
- Lineare Optimierungsprobleme, Graphische Lösung, Simplexmethode,
Dualität
Qualifikationsziel
Den Studenten werden mathematische Verfahren zur Lösung wirtschaftlicher
Aufgabenstellungen vermittelt. Das Ziel der Ausbildung besteht im
Verständnis für mathematische Zusammenhänge und der Fähigkeit zur
Modellierung und Lösung einfacher betriebswirtschaftlicher und
volkswirtschaftlicher Problemstellungen.
Lehr- und
Lernform
Vorlesungen und Übungen
Voraussetzung für
Teilnahme
Grundkenntnisse in Arithmetik und Algebra
Name des Moduls
Einführung in die Programmierung
Inhalt
Es wird das Handwerk des Programmierens erlernt. Dazu werden typische
Konzepte moderner Programmiersprachen, wie Datentypen, strukturierte
Anweisungen, Objektorientierung anhand einer konkreten
Programmiersprache eingeführt. Grundsprache, um die
Programmstruktur zu erklären, ist C und C + +, und dann während der
Übung auch Java. Anhand typischer Problemstellungen (Sortieren,
Suchen, Datenkapseln) werden Programmierungstechniken vermittelt.
Qualifikationsziel
Die Studierenden sind in der Lage Algorithmen zur Lösung kleiner Aufgaben
zu entwickeln und in einer Programmiersprache darzustellen. Die
Möglichkeiten der verschiedenen Programmierkonstrukte können beurteilt und
der Rechenaufwand von Algorithmen kann abgeschätzt werden.
Lehr- und
Lernform
Vorlesungen unter Einsatz moderner Visualisierungstechniken; Laborübungen
am Rechner; Nutzung der Computer-Netze (Internet) für die Kommunikation
zwischen Hochschullehrer und Studierenden
Voraussetzung für
Teilnahme
Programmierkenntnisse werden nicht vorausgesetzt.
Name des Moduls
Statistik
Inhalt

Qualifikationsziel
Lehr- und
Lernform
Grundbegriffe der Statistik (Statistische Einheit und Masse, Merkmale
und ihre Klassifizierung);
 Datengewinnung, -erfassung und -aufbereitung;
 univariate Datenanalyse (eindimensionale Häufigkeitsverteilungen, Lageund Streuungsparameter);
 multivariate Datenanalyse (zweidimensionale Häufigkeitsverteilungen,
Zusammenhang von Merkmalen);
 Maß- und Indexzahlen;
 Bestands- und Bewegungsmassen;
 Elementare Zeitreihenanalyse (Aufgabe, Bewegungskomponenten,
Methoden der Trendermittlung)
Die Studenten erwerben Verständnis für typische Vorgehensweisen der
deskriptiven Statistik und deren praktische Umsetzung. Gewinnung von
Faehigkeiten in der Aufbereitung von Informationen durch graphische und
tabellarische Darstellungen sowie deren Verdichtung durch statistische
Maßzahlen.
Klassische Vorlesung unter Nutzung von Tafel und Folien; Demonstration am
Rechner.
In den Übungen werden Vorgehensweisen diskutiert und das Lösen von
Aufgaben trainiert.
Voraussetzung für
Teilnahme
Grundkenntnisse der Mathematik, Fähigkeiten im Umgang mit dem PC und
besonders in der Nutzung von Software zur Tabellenkalkulation
Name des Moduls
Inhalt
Qualifikationsziel
Lehr- und
Lernform
Voraussetzung für
Teilnahme
Analysis/Wahrscheinlichkeitsrechnung


Grundlagen (Mengen, Funktionen)
Analysis und ihre Anwendungen in der Wirtschaft
-Grundlagen der Finanzmathematik, Differenzialrechnung für
Funktionen mit einer und mehreren Veränderlichen (Fehlerrechnung,
Elastizität, Extremwerte, MkQ), Integralrechnung,
Differenzialgleichungen,

Einführung in die Numerische Mathematik
- Grundbegriffe, Iterationsverfahren für lineare und nichtlineare
Probleme, numerische Differenziation und Integration, Interpolation
und Approximation

Wahrscheinlichkeitsrechnung
- Grundlagen, diskrete Verteilungsfunktionen, stetige
Verteilungsfunktionen

Den Studenten werden mathematische Verfahren zur Lösung
finanzmathematischer Aufgabenstellungen vermittelt. Die Anwendung
der Differenzial- und Integralrechnung zur Beschreibung und Lösung
wirtschaftlicher Problemstellungen wird dargestellt.
 Die Einführung in die numerische Mathematik liefert Ansatzpunkte für
die Bearbeitung spezieller Probleme mit dem Rechner.
 Die Wahrscheinlichkeitsrechnung stellt u.a. eine Grundlage für das
Lehrgebiet Statistik dar.
Vorlesungen und Übungen
Grundkenntnisse in Arithmetik und Algebra
Name des Moduls
Ökonometrie
Inhalt
Ökonometrie liegt im Spannungsfeld von ökonomischer Theorie,
Datenerhebung und statistischen Methoden. In der Veranstaltung werden
zunächst die Grundbegriffe der Ökonometrie und Verlauf der
ökonometrischen Untersuchungen dargestellt. Anschließend wird die
multiple Regression durchgenommen, die mit dem Programmpaket
GRETL durchgeführt wird. Dabei werden Tests der wichtigsten Annahmen
besprochen. Die Methoden werden auf makroökonomische
Fragestellungen wie Konsumhypothese, Geldnachfrage und Phillips-Kurve
und auf mikroökonomische Zusammenhänge wie Aktienkursprognose
und Zinssatzvorausschätzungen angewendet.
Qualifikationsziel
Die Studenten sollen in der Lage sein, die Strukturparameter
interpretieren, ökonomischen Hypothesen zu überprüfen und kurz- bis
mittelfristige Prognosen zu erstellen.
Lehr- und
Lernform
Klassische Vorlesung unter Nutzung von Tafel und
Videoprojektor.
Voraussetzung für
Teilnahme
In den Übungen werden Begriffe und Vorgehensweisen diskutiert und das
Lösen von Aufgaben trainiert.
Grundkenntnisse der Betriebswirtschaftslehre und der Mathematik sowie
Statistik (Wahrscheinlichkeitsrechnung), Sicherheit im Umgang mit dem
PC und besonders in der Nutzung von Software zur Tabellenkalkulation.
Name des Moduls
Systemanalyse
Inhalt
Vorlesungen

Einführung in die Informationssystemanalyse (Konzepte, Methoden,
Werkzeuge)
 Prozess der IT-Systementwicklung - Prinzipien und Phasen
 Informationssystemanalyse - Ansätze, Phasen und Entdeckung von
Anforderungen
 Objektorientierte Analyse - wichtigste Konzepte, UML-Diagramme
 Modellierung der Funktionen des Systems - von Business-Aufgaben zu
Use-Case-Diagramme
 Modellierung der Informationsstrukturen - Klasse / Objekt Diagramme
 Modellierung der Dynamik des Systems - Activity-Diagramme
 Interaktionsmodelle - Sequenzdiagramme
 Interaktionsmodelle - Kommunikationsdiagramme
 Modellierung der Zustände von Objekten - Zustandsdiagramme
 Modellierung der Struktur des Systems - Paketdiagramme
 Alternative Ansätze zur Systemanalyse - strukturierte Analyse
 Methoden der Systementwicklung
 Geschäfts-und Technologie-Trends in derSoftwareentwicklung
 Zusammenfassung der wichtigsten Fragen der Systemanalyse
Übungen

Qualifikationsziel
Lehr- und
Lernform
Definition der Projektsaufgabe (Merkmale der Organisation,
Organisationsstruktur, Computerunterstützungsgebiete und
Systemsziele)
 Identifizierung und Beschreibung von Anforderungen der Nutzer,
funktionale Struktur und System-Benutzer
 Modellierung der Funktionen des Systems - Use-Case-Diagramme
 Modellierung der Informationsstrukturen - Klassendiagramm
 Modellierung der Dynamik des Systems - Activity-Diagramme
 Interaktionsdiagramme - Sequenzdiagramm
 Interaktionsdiagramme – Kommunikationsdiagramm
 Modellierung der Zustände von Objekten - Zustandsdiagrammen
 Modellierung der Struktur des Systems - Paketdiagramme
 Projektkonsultationen
Das Ziel des Kurses ist es, die Studenten mit den theoretischen Fragen der ITSystemanalyse und mit IT-Werkzeuge zur Unterstützung dieses Feldes
vertraut zu machen. Die Studenten erlangen auch die Kenntnisse diese ITWerkzeuge und das erworbene Wissen zur Informationssystemanalyse zu
benutzen
Projektentwicklung
Teamarbeit
Multimedia-Präsentationen
Fallstudie
Vortrag basierend auf Multimedia-Präsentationen
Voraussetzung für
Teilnahme
Grundkenntnisse in Computer-und Internet-Nutzung.
Name des Moduls
Marketing
Inhalt
Vorlesungen
 Grundbegriffe des Marketing
 Umweltanalyse
 Strategisches Marketing
 Operatives Marketing(
 Kaufverhalten
 Marketingplanung
Übungen
Qualifikationsziel
 Entwicklung der Marketingtheorie
 Marketing als Prozess
 Makroumwelt
 Mikroumwelt
 SWOT Analyse
 Marketingziele
 Marketingstrategien
 Produktpolitik
 Preispolitik
 Distributionspolitik
 Kommunikationspolitik
 Public Relations
 Kaufprozess
 Kundenzufriedenheit
 Inhalte eines Marketingplans
 Marktforschung
Die Studierenden erwerben Grundkenntnisse über die Absatzwirtschaft und
werden an praxisnahe Übungen herangeführt.
Lehr- und
Lernform
Multimediale Präsentationen, Diskussionen, Case Stadies, Gruppenarbeit,
Projekte
Voraussetzung für
Teilnahme
Grundkenntnisse in der BWL

Courses in English and German for Erasmus Students Academic

Transcription

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