Course syllabus OSKM - Specialized Seminary - Quantitative Methods in Economics (FBE - WS 2019/2020)


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Course code: OSKM
Course title in Czech:
Specialized Seminary - Quantitative Methods in Economics
Course title in English:
Specialized Seminary - Quantitative Methods in Economics
Semester:
WS 2019/2020
Mode of completion and number of credits: Fulfillment of requirements (2 credits)
Mode of delivery and timetabled classes:
full-time, 0/2 (hours of lectures per week / hours of seminars per week)
Level of course:
bachelor
Course type:
optional
Type of delivery:
usual, consulting
Mode of delivery for our mobility students abroad:
-- item not defined --
Language of instruction:
English
Course supervisor:
Course supervising department:
Faculty:
Teachers:
doc. Mgr. David Hampel, Ph.D. (examiner, instructor, lecturer, supervisor)
Ing. Michaela Staňková, Ph.D. (examiner, instructor, lecturer)
Prerequisites:
 
Timetable in this semester:
Day
From-till
Room
Teacher
Entry
Frequency
Capacity
Monday
11.00-12.50
Q34M. Staňková
Seminar
Every week
24
 
Aim of the course and learning outcomes:
The main goal of this seminar is to introduce English terms used in mathematics, statistics and econometry. Applications in economics will be presented.

Methods which students should know from previous studies will be presented in English. Moreover, new easy-to-implement methods usable to work out their final thesis will be elaborated.
 
Course content:
1.
General introduction to Statistics (allowance 0/2)
 
a.
Scope of statistics
b.
Historical consequences
c.
Basic terms and ideas
d.Misuse of statistics

2.
Descriptive statistics (allowance 0/4)
 
a.
Population, sample and dataset
b.
Point frequency distribution
c.
Interval frequency distribution
d.
Numerical characteristics of characters

3.Probability elements (allowance 0/2)
 
a.Random events
b.
Probability
c.
Independent events
d.
Conditional probability

4.
Random variables and their characteristics (allowance 0/2)
 
a.
Random variable and its distribution function
b.
Selected distributions
c.
Independence of random variables
d.
Numerical characteristics of random variables

5.
Basics of inferential statistics (allowance 0/4)
 
a.Random sample
b.Point estimation
c.
Confidence interval
d.
Statistical hypothesis testing

6.
Simple correlation analysis (allowance 0/2)
 
a.Correlation coefficient and its estimation
b.Independence hypothesis testing
c.
Comparing two correlation coefficients

7.
Analysing dependence of nominal and ordinal data (allowance 0/2)
 
a.
Contingency table
b.
Tests of independence and homogeneity
c.
Odds ratio
d.Spearmans rank correlation coefficient

8.
One-way analysis of variance (allowance 0/2)
 
a.
Assumptions
b.
Testing the mean-value-equality hypothesis
c.
Multiple comparisons

9.
Advanced statistical methods (allowance 0/6)
 
a.Hierarchical clustering
b.
Factor analysis
c.
Testing empirical distribution

10.
Presentation of statistical outputs (allowance 0/2)
 
a.
Tables
b.
Graphs
c.
Faults in presentation

Learning activities and teaching methods:
Type of teaching method
Daily attendance
seminar
27 h
public presentation (oral)1 h
preparation for exam
10 h
preparation for regular assessment
10 h
preparation of presentation
8 h
Total56 h
 
Assessment methods:
Students will be present selected topic during the seminar. The presentation will be assessed as successful (required for credit) or failed (returned for revision). Final exam in written form (totally 10 points, for credit required 6 points at least). It will consist of translating basic English terms and solving specialized tasks in English.
 
Assessment criteria ratio:
Requirement type
Daily attendance
Total
0 %
 
Recomended reading and other learning resources:
Basic:
HAMPEL, D. -- MIKULÁŠEK, K. Selected Chapters for English Mathematics Courses II. Brno: Mendelova univerzita v Brně, 2012. 127 p. ISBN 978-80-7375-651-2.

Recommended:
GUJARATI, D N. Basic econometrics. 4th ed. Boston: McGraw Hill, 2003. 1002 p. ISBN 0-07-112342-3.
GREENE, W H. Econometric analysis. 6th ed. Upper Saddle River, NJ [u.a.: Pearson Prentice Hall, 2008. 1178 p. ISBN 978-0-13-5137-40-6.
KMENTA, J. Elements of Econometrics. 3rd ed. Michigan: Macmillan Publishing, 1997. 786 p. ISBN 0-472-10886-7.
REAGLE, D. -- SALVATORE, D. Statistics and econometrics. New York: McGraw-Hill, 2004. 336 p. ISBN 0-07-139568-7.

Course listed in study plans for this semester:
Field of study B-EM-ME Economics and Management, full-time form, initial period SS 2016/2017
Field of study B-EM-TM Tourism Management, full-time form, initial period WS 2017/2018
Field of study B-EM-ME Economics and Management, full-time form, initial period WS 2017/2018
Field of study B-EPA-PA Public administration, full-time form, initial period WS 2017/2018
Field of study B-EM-TM Trade management, full-time form, initial period WS 2017/2018
Field of study B-EM-AFE Agriculture and food economics, full-time form, initial period WS 2017/2018
Field of study B-EM-SE Social economics, full-time form, initial period WS 2017/2018
Field of study B-EPA-F Finances, full-time form, initial period WS 2017/2018
 
Course listed in previous semesters:
Teaching place:
Brno


Last modification made by Ing. Jiří Gruber on 09/05/2019.

Type of output: