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Econometrics Seminar 1 - NMEK450

Title:	Ekonometrický seminář 1
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2023
Semester:	summer
E-Credits:	2
Hours per week, examination:	summer s.:0/2, C [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time

Guarantor:	doc. RNDr. Ing. Miloš Kopa, Ph.D. doc. RNDr. Zuzana Prášková, CSc.
Class:	M Mgr. PMSE M Mgr. PMSE > Povinně volitelné
Classification:	Mathematics > Math. Econ. and Econometrics
Pre-requisite :	NMSA407, NMSA409, NMSA413
Is pre-requisite for:	NMEK051, NMEK521, NMEK551
Is interchangeable with:	NEKN024

Opinion survey results Examination dates SS schedule Noticeboard

Annotation -

Last update: doc. RNDr. Zuzana Prášková, CSc. (12.09.2013)

Special parts of modern mathematical statistics and econometrics including applications are studied.

Aim of the course -

Last update: doc. RNDr. Zuzana Prášková, CSc. (12.09.2013)

The objective is to develop students' ability of individual studying foreign-language papers in econometrics, economic modeling and optimization. An additional objective is the ability of intelligible presentations of studied texts.

Course completion requirements - Czech

Last update: doc. RNDr. Ing. Miloš Kopa, Ph.D. (16.02.2023)

Předmět je zakončen zápočtem.

Podmínky udělení zápočtu:

a) samostatná příprava dvou referátů z odborné časopisecké literatury (obvykle z anglické) na vybrané téma, které zadává učitel z oblasti ekonometrie, operačního výzkumu a optimalizace. Referáty budou vypracovány v elektronické podobě.

Povaha kontroly studia předmětu vylučuje opakování této kontroly. Předmět si nelze zapsat v mimořádném studiu.

Literature -

Last update: T_KPMS (10.05.2013)

Scientific journals

Teaching methods -

Last update: T_KPMS (10.05.2013)

Seminar

Entry requirements -

Last update: doc. RNDr. Zuzana Prášková, CSc. (23.05.2019)

optimization theory, elements of mathematical statistics, regression models, discrete and continuous time Markov chains