PMEM2B Mathematical Methods in Economics II B

Faculty of Economics and Administration
Spring 2002
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Ing. Osvald Vašíček, CSc. (lecturer)
Ing. Michal Kvasnička, Ph.D. (seminar tutor)
Ing. Miroslav Prodělal (seminar tutor)
Ing. Petr Sklenář (seminar tutor)
prof. Ing. Osvald Vašíček, CSc. (seminar tutor)
Mgr. Jan Vlček, Ph.D. (seminar tutor)
Guaranteed by
prof. Ing. Osvald Vašíček, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Naděžda Polehlová
Timetable
Thu 17:10–18:45 P101
  • Timetable of Seminar Groups:
PMEM2B/01: Mon 11:05–12:45 VT206
PMEM2B/02: Mon 12:50–14:30 VT206
PMEM2B/03: Mon 14:35–16:15 VT206
PMEM2B/04: Tue 18:00–19:35 VT206
PMEM2B/05: Wed 7:40–9:15 VT206
PMEM2B/06: Wed 17:10–18:45 VT206
PMEM2B/07: Fri 9:20–11:00 VT206
PMEM2B/08: Thu 11:05–12:45 VT206
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Economic-Mathematical Methods II B (PMEM2B): The course deals with mathematical-statistical approaches to the analysis of economic processes described by time series. The introductory part of the course acquaints students with the basics of using index numbers and their application in the area of time series. The course participants are also introduced to methodological starting-points and the application of the classic procedures of time series decomposition, based on regression approaches. These are non-adaptive methods of description of the process development by a trend expressed by mathematical curves, and adaptive methods, such as polynomial moving averages and methods of exponential smoothing. Simple regression methods of removal of seasonal influence in a time series are also covered. Last but not least, this part of the course also explains and applies in practice the procedures of forecasts based on time series smoothed by the above-mentioned methods. The final part of the course summarises the gained knowledge and is devoted to the explanation of the process of behaviour of one economic variable on the basis of behaviour of other variables through a quantified, statistically analysed single-equation model and the use of the model for a forecast of the explained variable s development. Credit requirements: active participation, a sufficient total of points from progressive skill tests or an essay. Examination: written, a practical economic exercise on a computer, oral.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Information on course enrolment limitations: 10 pouze přednáška
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009.
  • Enrolment Statistics (Spring 2002, recent)
  • Permalink: https://is.muni.cz/course/econ/spring2002/PMEM2B