Courses in English and German for Erasmus Students Academic
Transcription
Courses in English and German for Erasmus Students Academic
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, [email protected] 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 Filled in by the Field of Study Group Name of the course: Course code: MATHEMATICAL ANALYSIS 14.3.III.71AI05_15 Name of the unit giving the course: 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 Course/module status: Course/module language: 1/I Field of study English Form of the lecture exercises laboratories convers. seminar other course Number of 15 30 hours Course/module coordinator dr Barbara Batóg, [email protected], 91 444 1978 Goal of the course/module 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 Form of the course – lecture 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 Additional 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 Filled in by the Field of Study Group Name of the course: Course code: DESCRIPTIVE STATISTICS 14.3.III.71AI05_18 Name of the unit giving the course: Department of Statistics and Econometrics / Department of Insurance and Capital Markets 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 year/ 1 semester Field of study english Form of the lecture exercises laboratories convers. seminar other course Number of 30 30 hours Course/module coordinator Dominik Rozkrut, PhD, [email protected] Goal of the course/module 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 Form of the course – lecture 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 Form of the course – exercises 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 The form and terms of the exam: 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 Additional 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 Filled in by the Field of Study Group Name of the course: Information technologies (IT) Name of the unit giving the course: Name of the field of study: Economics and IT Applications Form of studies: Full-time Bachelor Year / semester 1 year/ 1 semester Form of the lecture course Number of 15 hours Course/module coordinator Course code: 14.3.III.71AI05_18 Education profile: academic Course/module status: Field of study exercises laboratories Specialization: Course/module language: english convers. seminar other 15 dr Tomasz Ordysiński Goal of the course/module 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 Form of the course – lecture 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 Form of the course – exercises 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 Filled in by the Field of Study Group Name of the course: Course code: FUNDAMENTALS OF ACCOUNTING 14.3.III.71AI03_27 Name of the unit giving the course: Institute of Accounting 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/I Field of study English Form of the lecture exercises laboratories convers. seminar other course Number of 15 15 hours Course/module coordinator Dr Urszula Drumlak, [email protected], 91 444 1952 Goal of the course/module 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). The form and terms of the exam: • 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 Filled in by the Field of Study Group Name of the course: ORGANISATION AND MANAGEMENT Name of the unit giving the course: Department of Organisation and Management Name of the field of study: Economics and IT applications Form of studies: Education profile: Full-time Bachelor academic Year / semester Course/module status: I/1 Field of study Form of the lecture exercises laboratories course Number of 15 15 hours Course/module coordinator Course code: 14.3III71AI11_37 Specialization: Course/module language: english convers. seminar other Aleksandra Rudawska, [email protected], 91 444 19 75 Goal of the course/module 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 Additional bibliography - 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 Filled in by the Field of Study Group Name of the course: Course code: MICROECONOMICS I 14.3III71AI10_2 Name of the unit giving the course: Department of Microeconomics Name of the field of study: Economics and IT Applications Form of studies: Education profile: Specialization: Economics full-time Bachelor academic Year / semester Course/module status: Course/module language: 1/2 Field of study English Form of the lecture exercises laboratories convers. seminar other course Number of 30 30 hours Course/module coordinator Dr hab. Tomasz Bernat, [email protected] , 91/4442137 Goal of the course/module 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 Additional 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 Filled in by the Field of Study Group Name of the course: Course code: BANKING 14.3III71AI06_4 Name of the unit giving the course: Department of Finance 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: I/2 sem. Field of study English Form of the lecture exercises laboratories convers. seminar other course Number of 15 15 hours Course/module coordinator Dr Dorota Skała, [email protected] 91 444 1949 Goal of the course/module 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 Form of the course – lecture 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 Additional 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 Filled in by the Field of Study Group Name of the course: Course code: FUNDAMENTALS OF FINANCE 14.3III71AI06_7 Name of the unit giving the course: Department of Finance 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: I/1 sem. Field of study English Form of the lecture exercises laboratories convers. seminar other course Number of 15 15 hours Course/module coordinator Dr Dorota Skała, [email protected] 91 444 1949 Goal of the course/module 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 Form of the course – lecture 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 Additional 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 Filled in by the Field of Study Group Name of the course: MARKETING Name of the unit giving the course: Marketing Department Name of the field of study: Economics and IT Applications Form of studies: Education profile: academic Full-time Bachelor Year / semester Course/module status: 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: Course/module language: english convers. seminar other Course/module coordinator Dr hab. Prof. US Edyta Rudawska [email protected] Goal of the course/module 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 Additional bibliography ECTS 3 Filled in by the Field of Study Group Name of the course: LINEAR ALGEBRA Name of the unit giving the course: Course code: 14.3.III.71AI05_14 Econometrics and Statistics Department Name of the field of study: Economics and IT Applications Form of studies: Education profile: academic Course/module status: field Full-time Bachelor Year / semester I/II Form of the lecture course Number of 15 hours Course/module coordinator Goal of the course/module Course requirements exercises laboratories Specialization: Course/module language: english convers. seminar other 30 dr Małgorzata Guzowska, [email protected], 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 Fom of the course – e.g. lecture 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 Additional 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 Filled in by the Field of Study Group Name of the course: Course code: STATISTICAL INFERENCE 14.3.III.71AI05_19 Name of the unit giving the course: Department of Statistics and Econometrics / Department of Insurance and Capital Markets 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 year/ 2 semester Field of study english Form of the lecture exercises laboratories convers. seminar other course Number of 15 30 hours Course/module coordinator Christian Lis, PhD, [email protected] Goal of the course/module 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 Form of the course – lecture 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 Form of the course – exercises 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 Additional bibliography ECTS Zając K.: Zarys metod statystycznych, PWE, Warszawa 1994. Zeliaś A.: Metody statystyczne, PWE, Warszawa GUS methodological publications. 3 Filled in by the Field of Study Group Name of the course: Course code: MULTIMEDIA APPLICATIONS IN BUSINESS 14.3.III.71AI02_24 Name of the unit giving the course: Institute of IT in Management 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/II Field of study english Form of the lecture exercises laboratories convers. seminar other course Number of 15 15 hours Course/module coordinator dr Grzegorz Wojarnik, [email protected], 91 444 1907 Goal of the course/module 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 Fom of the course – e.g. lecture 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 Additional 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 Filled in by the Field of Study Group Name of the course: Team work management Name of the unit giving the course: Department Microeconomics Name of the field of study: Course code: 14.3III71AI10_36 Economics and IT applications Form of studies: Full-time Bachelor Year / semester I/2 Form of the lecture course Number of 15 hours Course/module coordinator Education profile: academic Course/module status: Field of study exercises laboratories Specialization: Course/module language: english convers. seminar other Dr Jarosław Korpysa Goal of the course/module 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 Additional bibliography 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 Name of the unit giving the course: Department of Socio-Economic Policy and European Regional Studies 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: II year/3 sem Field of study english Form of the lecture exercises laboratories convers. seminar other course Number of 15 hours Course/module coordinator dr Anna Katoła Goal of the course/module 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 Additional 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 Name of the field of study: Economics and IT Applications Form of studies: Full-time Bachelor Year / semester II/3 Form of the lecture course Number of 15 hours Course/module coordinator Education profile: academic Course/module status: Field of study exercises laboratories 15 15 Goal of the course/module Course requirements Specialization: Course/module language: English convers. seminar other dr hab. Jacek Batóg, [email protected], 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 Form of the course – lecture 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 Form of the course – exercises 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 Additional 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 Filled in by the Field of Study Group Name of the course: Course code: FINANCIAL AND ACTUARIAL MATHEMATICS 14.3.III.71AI05_17 Name of the unit giving the course: Dapartment of Insurance and Capital Markets, Department of Statistics and Econometrics 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: 2/III Field of study english Form of the lecture exercises laboratories convers. seminar other course Number of 15 15 15 hours Course/module coordinator Dr hab. Iwona Foryś, [email protected], +91 444 19 78, Goal of the course/module 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 Form of the course – lecture 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 Form of the course – exercises 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. The form and terms of the exam: – 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 Additional bibliography 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 Filled in by the Field of Study Group Name of the course: INTRODUCTION TO PROGRAMMING Name of the unit giving the course: Institute of IT in Management Name of the field of study: Course code: 14.3.III.71AI02_25 Economics and IT Applications Form of studies: Full-time Bachelor Year / semester 2 / III Form of the lecture course Number of 15 hours Course/module coordinator Course teacher Goal of the course/module Education profile: academic Course/module status: Field of study exercises laboratories Specialization: Course/module language: english convers. seminar other 30 dr hab. Jakub Swacha, [email protected], 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 Form of the course – laboratories 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 Additional 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 Filled in by the Field of Study Group Name of the course: DECISION SUPPORT SYSTEMS Name of the unit giving the course: Course code: 14.3.III.71AI02_33 Name of the field of study: Economics and IT Applications Form of studies: Full-time Bachelor Year / semester Form of the lecture course Number of 15 hours Course/module coordinator Education profile: academic Course/module status: Field of study exercises laboratories Specialization: Course/module language: English convers. seminar other 15 Zygmunt Drążek, [email protected] Goal of the course/module 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 Form of the course – lecture 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 Form of the course – laboratories 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 Additional 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 Filled in by the Field of Study Group Name of the course: Course code: STATISTICAL SOFTWARE APPLICATIONS 14.3III71AI05_31 Name of the unit giving the course: ECONOMETRICS AND STATISTICS DEPARTMENT 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: FIELD OF STUDY ENGLISH Form of the lecture exercises laboratories convers. seminar other course Number of 30 hours Course/module coordinator Christian Lis, [email protected], 91 444-1963 Goal of the course/module 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 Form of the course – laboratories 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 Additional 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 Filled in by the Field of Study Group Name of the course: Course code: INVESTMENT ON THE CAPITAL MARKET 14.3III71AI05_50 Name of the unit giving the course: Department of Insurance and Capital Markets Name of the field of study: Economics and IT application Form of studies: Education profile: Specialization: Full-time Bachelor academic Year / semester Course/module status: Course/module language: Field of study english Form of the lecture exercises laboratories convers. seminar other course Number of 15 15 hours Course/module coordinator Dr Sebastian Majewski, [email protected], +91 444 19 62 Goal of the course/module 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 Form of the course – lecture 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 Additional 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 Filled in by the Field of Study Group 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 Name of the field of Study: Economics and IT applications Form of studies: Education profile: Specialization: Full-time Bachelor academic Year / semester Form of the lecture course Number of 15 hours Course/module coordinator Goal of the course/module Course requirements Course/module status: Field of study exercises laboratories Course/module language: 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 Additional 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