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Stochastic Problems in Research and Practice - NMSA431

Title:	Stochastické problémy ve vědě a praxi
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2024
Semester:	winter
E-Credits:	1
Hours per week, examination:	winter s.:0/1, 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
Note:	you can enroll for the course repeatedly

Guarantor:	doc. RNDr. Ing. Miloš Kopa, Ph.D.
Teacher(s):	doc. RNDr. Ing. Miloš Kopa, Ph.D. prof. RNDr. Ivan Mizera, CSc.
Class:	M Bc. FM M Bc. FM > Doporučené volitelné M Bc. OM M Bc. OM > Zaměření STOCH M Bc. OM > Doporučené volitelné M Mgr. FPM M Mgr. FPM > Volitelné M Mgr. PMSE M Mgr. PMSE > Volitelné
Classification:	Mathematics > Probability and Statistics
Is interchangeable with:	NMSA401

Opinion survey results Examination dates WS schedule Noticeboard

Annotation -

A series of lectures on actual problems (containing randomness) in research as well in practice.

Last update: Omelka Marek, doc. Ing., Ph.D. (19.05.2022)

Aim of the course -

To show various theoretical and practical problems in optimization, statistics, probability theory, financial and insurance mathematics. Using Data Science, Machine Learning, Big Data will be presented, too.

Last update: Zichová Jitka, RNDr., Dr. (20.05.2022)

Course completion requirements -

Active presence at the seminar.

Last update: Zichová Jitka, RNDr., Dr. (05.05.2023)

Literature -

According to the chosen topic.

Last update: Omelka Marek, doc. Ing., Ph.D. (19.05.2022)

Teaching methods -

Seminar.

Last update: Omelka Marek, doc. Ing., Ph.D. (19.05.2022)

Syllabus -

Various lectures on interesting either research or applied problems.

Last update: Omelka Marek, doc. Ing., Ph.D. (19.05.2022)

Entry requirements -

Basic probability theory, a statistical course.

Last update: Zichová Jitka, RNDr., Dr. (05.05.2023)