R software in economic and financial applications 2400-INTER-PRR-OG

A general university course (OGUN) conducted on the WNE educational platform https://elearning.wne.uw.edu.pl in the form of asynchronous course.
The aim of the course is to present the possibilities of the R program, from basic to more advanced. It is an Open Source program available for free, both for scientific and commercial use, for download from the website http://www.r-project.org/. The course is designed for people who want to learn an advanced calculation program and use it both in the analyst's work as well as in scientific work, with particular emphasis on statistical and financial analyses. Students will master the language of the R program to the extent that it is possible to use R program packages, as well as to independently create applications based on available packages. In addition to IT skills, students learn about the empirical application of the program in the field of economic and financial analysis, which encourages them to use the program in their own areas of interest.

The course covers such issues as:
1) introduction to R, acquisition and preparation for work
2) loading data from external files
3) creating one-dimensional tables, operations on objects
4) creating two-dimensional tables
5) creating charts (pie chart, histogram, line and point graph)
6) testing statistical hypotheses
7) generating random numbers from various distributions
8) Monte Carlo simulations
9) maps in economics.

Discussed issues are illustrated with examples from economic and finance field.

The course is intended for students of 2nd and 3rd cycle studies and possibly the last year of first-cycle studies. As a general university subject it is NOT intended for students of WNE UW.

Type of course

general courses

Mode

Remote learning

Prerequisites (description)

Basic knowledge of subjects such as: probability calculus, statistics; orientation in economic and financial matters is desirable The course is intended for students of 2nd and 3rd cycle studies and possibly the last year of first-cycle studies. As a general university subject it is NOT intended for students of WNE UW.

Course coordinators

Katarzyna Kopczewska
Tomasz Kopczewski
Mateusz Kopyt

Learning outcomes

KNOWLEDGE (S1A_W06; S2A_W06)
1) After completing the course, the student knows how the R package works as an implementation of the S programming language
2) The participant knows how to use the R program together with presented packages for the preparation, processing and conducting of selected analyses, in particular in the field of economic and financial as well as social phenomena
3) The participant knows the application possibilities of the presented analytical methods and on the basis of them can create own analyses during further scientific and professional development.

SKILLS (S1A_U01; S1A_U02; S1A_U03; S1A_U04; S1A_U07; S1A_U08; S2A_U01; S2A_U02; S2A_U03; S2A_U04; S2A_U07; S2A_U08)
1) The student is able to obtain the R program together with appropriate packages and prepare it for work
2) The participant has experience in working with statistical data using the R package
3) Student is able to read the data to the program, determine the quality of data, make basic manipulations on data, aggregate data conditionally
4) The participant can build a simple simulation model based on the Monte Carlo method
5) The participant is able to verify statistical hypotheses using the R software
6) The student can prepare a complex graph illustrating social and economic phenomena.

SOCIAL COMPETENCES (S1A_K01; S1A_K06; S2A_K01; S2A_K06)
1) The participant understands that the skilled use of the R program requires constant learning about this package
2) The student is aware that the R program together with additional packages is constantly developed and offers new opportunities over time
3) The participant realizes that the R program is a universal tool and can be used in calculations in various fields of knowledge and that the course provides the basis for own search for such applications.

Assessment criteria

The course is available on an e-learning platform, which requires significant activity and systematic work. The final credit is based on a few homework, short tests available on the platform and final exam in the computer room at WNE UW or preparation of your own project. Activity on forums and solving additional tasks are promoted. An alternative form of passing the course is to prepare a useful and interesting additional package for the R program. The details are available on the e-learning platform.

Bibliography

Mandatory:
- Kopczewska K., Kopczewski T., Wójcik P. (red), 2009, Metody ilościowe w R. Aplikacje ekonomiczne i finansowe, CeDeWu, Warszawa
- materials for R package available on-line the https://www.r-project.org/

Supplementary:
- red. Kopczewska K. (2020) Przestrzenne metody ilościowe w R: statystyka, ekonometria, uczenie maszynowe, analiza danych, CeDeWu, Warszawa
- Kopczewska K., 2006, Ekonometria i statystyka przestrzenna w R CRAN, CeDeWu, Warszawa
- Biecek P., 2008, Przewodnik po pakiecie R, Oficyna Wydawnicza GIS, Wrocław
- Walesiak M., Gantnar E. (red), 2009, Statystyczna analiza danych z wykorzystaniem programu R, Wydawnictwo Naukowe PWN, Warszawa

Additional information

Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 2400-INTER-PRR-OG in USOSweb