SubjectsSubjects(version: 845)
Course, academic year 2018/2019
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Primary Seminar - NMSA401
Title in English: Oborový seminář
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2018 to 2019
Semester: winter
E-Credits: 2
Hours per week, examination: winter s.:0/2 C [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Guarantor: doc. RNDr. Petr Lachout, CSc.
doc. Ing. Marek Omelka, Ph.D.
Class: M Mgr. PMSE
M Mgr. PMSE > Povinné
Classification: Mathematics > Probability and Statistics
Is pre-requisite for: NMST450, NMEK450, NMTP450
Annotation -
Last update: G_M (28.05.2013)
The seminar consists of student oral presentations on one or multiple topics selected from the literature. A required seminar for the specialization PMSE.
Aim of the course -
Last update: G_M (28.05.2013)

Practice independent study of English methodologic literature and oral presentation of methods and results, understand the principles of the assigned methodology.

Course completion requirements -
Last update: doc. Ing. Marek Omelka, Ph.D. (05.10.2018)

Requirements to get the credit for the exercise class.

• Giving a presentation on a given topic.

• Be able to comment on the given presentation.

• Be physically present for at least 80 % of presentations.

The nature of these requirements precludes any possibility of additional attempts to obtain the course credit.

Literature -
Last update: T_KPMS (06.05.2015)

According to the chosen topic.

Teaching methods -
Last update: T_KPMS (12.05.2014)

Seminar.

Syllabus -
Last update: doc. Ing. Marek Omelka, Ph.D. (27.09.2018)

The seminar consists of student oral presentations on one or multiple topics selected from scholarly literature.

The topics may vary between the different parallel groups of the seminar.

Entry requirements -
Last update: doc. RNDr. Petr Lachout, CSc. (30.05.2018)

measure and integration theory, basic of mathematical statistics, basic of probability theory

 
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