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

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Course code: OSKM
Course title in language of instruction: Specialized Seminary - Quantitative Methods in Economics
Course title in Czech: Specialized Seminary - Quantitative Methods in Economics
Course title in English: Specialized Seminary - Quantitative Methods in Economics
Mode of completion and number of credits: Fulfillment of requirements (2 credits)
(1 ECTS credit = 28 hours of workload)
Mode of delivery/Timetabled classes: full-time, 0/2 (hours of lectures per week / hours of seminars per week)
Language of instruction: English
Level of course: bachelor
Semester: WS 2019/2020
Name of lecturer: doc. Mgr. David Hampel, Ph.D. (examiner, instructor, lecturer, supervisor)
Ing. Michaela Staňková (examiner, instructor, lecturer)
Prerequisites: (Language in Business - English or Language in Business - English or English 1 or English K 1 or English 1, EI) and Statistics
Aims of the course:
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 contents:
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
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)
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)
c.Faults in presentation

Learning outcomes and competences:
Generic competences:
-Ability to apply knowledge
-Ability to work in international context
-Basic computing skills
-Communication in second language
-Professional knowledge
-Skilled at utilizing and processing information
-Work in team

Specific competences:
-Student can solve statistical tasks in English using correct statistical terminology.
-Student has superior knowledge of selected advanced statistical methods.
-Student knows the basic statistical techniques and is able to apply them.
-Student uses correct statistical terminology in English.

Type of course unit: optional
Year of study: Not applicable - the subject could be chosen at anytime during the course of the programme.
Work placement: There is no compulsory work placement in the course unit.
Recommended study modules: -
Learning activities and study load (hours of study load):
Type of teaching methodDaily attendance
Direct teaching
     seminar27 h
     public presentation (oral)1 h
     preparation for exam10 h
     preparation for regular assessment10 h
     preparation of presentation8 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.
Recommended reading:
TypeAuthorTitlePublished inPublisherYearISBN
RQHAMPEL, D. -- MIKULÁŠEK, K.Selected Chapters for English Mathematics Courses IIBrnoMendelova univerzita v Brně2012978-80-7375-651-2
REGUJARATI, D N.Basic econometricsBostonMcGraw Hill20030-07-112342-3
REGREENE, W H.Econometric analysisUpper Saddle River, NJ [u.a.Pearson Prentice Hall2008978-0-13-5137-40-6
REKMENTA, J.Elements of EconometricsMichiganMacmillan Publishing19970-472-10886-7
REREAGLE, D. -- SALVATORE, D.Statistics and econometricsNew YorkMcGraw-Hill20040-07-139568-7


Last modification made by Ing. Jiří Gruber on 05/20/2019.

Type of output: