Cardinal Stefan Wyszynski University in Warsaw - Central Authentication System
Strona główna

Methods and tools for quantitative analysis in economics

General data

Course ID: WS-EK-MiNAIwE
Erasmus code / ISCED: 14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (unknown)
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) Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
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.

This course is not currently offered.
Course descriptions are protected by copyright.
Copyright by Cardinal Stefan Wyszynski University in Warsaw.
ul. Dewajtis 5,
01-815 Warszawa
tel: +48 22 561 88 00 https://uksw.edu.pl
contact accessibility statement mapa serwisu USOSweb 7.0.4.0-1 (2024-05-13)