Methods and tools for quantitative analysis in economics
General data
Course ID: | WS-EK-MiNAIwE |
Erasmus code / ISCED: |
14.3
|
Course title: | Methods and tools for quantitative analysis in economics |
Name in Polish: | Metody i narzędzia analizy ilościowej w ekonomii |
Organizational unit: | Institute Sociology |
Course groups: | |
Course homepage: | http://www.is.wnhis.edu.pl |
ECTS credit allocation (and other scores): |
(not available)
|
Language: | Polish |
Subject level: | intermediate |
Learning outcome code/codes: | Lecture - Learning outcomes: EK1_W05, EK1_W06, EK1_W08 Exercises - Learning outcomes: EK1_U02, EK1_U03, EK1_U04, EK1_U05 |
Short description: |
During the Course Course Methods and tools of quantitative analysis in economics, the following key issues are addressed: 1. Fundamentals of financial mathematics: 2. Methods of assessing the profitability of investment projects and the discount and various forms of payment; 3. Methods of risk analysis 4. Modeling economic dependencies and market as a source of information; 5. Elements of decision theory 6. Linear programming; 7. examination |
Full description: |
Subject matter The methods and tools of quantitative analysis in economics cover the following issues: 1. Fundamentals of financial mathematics: (Interest and Final Capital, Four Classical Processes, Simple Process, Percentage Equity;) 2. Methods of assessing the profitability of investment projects and the discount and various forms of payment (corporate profitability, profit assessment, basic analysis of enterprise valuation, discount) 3. Methods of risk analysis (Essence of risk, methods of risk measurement, use of risk analysis in economic reality) 4. Modeling economic dependencies and market as a source of information; 5. Elements of decision theory 6. Linear programming; 7. Exam |
Bibliography: |
1.A. Janiga - Ćmiel; J.Mika, E. Pośpiech; Z. Przybycin Methods and models of quantitative analysis in economics and management, Part 1, Uniwersytet Ekonomiczna im. Karol Adamiecki in Katowice, Katowice 2009; 2. M. Kolupa, J. Plebaniak; Quantitative methods for economists, vol. 2; Higher School of Commerce and Law in Warsaw, Warsaw 2004; 3. M. Kolupa, J. Plebaniak; Quantitative methods for economists, vol. 3; Higher School of Commerce and Law in Warsaw, Warsaw 2005; 4. Edited by M. Matłok, Quantitative Methods in Economics; Wydawnictwo Akademia Ekonomiczna in Poznań, Poznan 2007 |
Efekty kształcenia i opis ECTS: |
K_W05 knows the tools used for selected types of economic research and knows what purpose they serve. S1A_W06 K_W06 knows and understands the relationship between economics, the economy and their environment, including the types of social ties and the rationality they govern and the origin of their historical evolution S1A_W04 S1A_W09 K_W08 Has basic knowledge about the use of modern information and information technologies in economics including methods and techniques of data acquisition S1A_W06 K_W01 has basic general knowledge in the field of economics and related sciences and their place in the social sciences and relations to other sciences S1A_W01 K_W02 Has basic knowledge in microeconomics and macroeconomics at basic level S1A_W01 Skills; K_U02 is able to think critically using the Rationalism Patterns S1A_U01 K_U03 can use economic data sources and Methods of analyzing them and critically analyzing their way of obtaining them using the normative systems and the selected norms and rules of law, professional and moral relating to the studied direction S1A_U01 S1A_U02 S1A_U03 S1A_U05 S1A_U06 S1A_U07 K_U04 is able to interpret economic data and social phenomena in the fields of science and disciplines relevant to the studied S1A_U01 S1A_U03 S1A_U07 S1A_U08 K_U05 is able to perceive economic problems taking into account many socio-economic determinants and to forecast social processes and phenomena using standard methods and tools in the areas and disciplines specific to the S1A_U04 direction studied. |
Assessment methods and assessment criteria: |
2 (ndst) - lack of knowledge of economic analysis, lack of knowledge of the enterprise, lack of knowledge of the heuristic methods and their application in the economy; 3 (dst) - basic knowledge of market analysis, ability to evaluate an enterprise, basic knowledge of risk assessment; 4 (db) - good business judgment, knowledge of risk measurement and heuristic methods. Good knowledge of the use of market analysis; 5 (bdb) - Very good ability to carry out market analyzes in companies, including risk measurement methods and heuristic methods. |
Practical placement: |
During the traineeship, the student should use the knowledge of the subject matter. The type of business entity and institution, the scope of duties, the activities carried out, the tasks entrusted to the student for performance during the apprenticeship should be correlated in key issues with the subject matter. |
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