Subjects

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Probability and statistics I - NMUM403

Title:	Pravděpodobnost a matematická statistika I
Guaranteed by:	Department of Mathematics Education (32-KDM)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2016 to 2017
Semester:	winter
E-Credits:	3
Hours per week, examination:	winter s.:2/1, C+Ex [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:	RNDr. Jitka Zichová, Dr.
Class:	Učitelství matematiky
Classification:	Mathematics > Mathematics, Algebra, Differential Equations, Potential Theory, Didactics of Mathematics, Discrete Mathematics, Math. Econ. and Econometrics, External Subjects, Financial and Insurance Math., Functional Analysis, Geometry, General Subjects, , Real and Complex Analysis, Mathematics General, Mathematical Modeling in Physics, Numerical Analysis, Optimization, Probability and Statistics, Topology and Category, Probability and Statistics Teaching > Mathematics
Incompatibility :	NMUM810, NUMP013
Interchangeability :	NMUM810, NUMP013
Is co-requisite for:	NMUM404
Is incompatible with:	NUMP013
Is interchangeable with:	NUMP013

Opinion survey results Examination dates Schedule Noticeboard

Annotation -

Last update: T_KPMS (12.05.2015)

A course for future teachers of mathematics. Random events, conditional probability, independence. Random variables and their probability distributions.

Aim of the course -

Last update: T_KPMS (12.05.2015)

To explain basics of probability theory.

Literature - Czech

Last update: RNDr. Jitka Zichová, Dr. (16.04.2018)

Zvára, K., Štěpán, J: Pravděpodobnost a matematická statistika. Matfyzpress, Praha, 2002.

Rényi, A.: Teorie pravděpodobnosti. Academia, Praha, 1972.

Teaching methods -

Last update: T_KPMS (12.05.2015)

Lecture+exercises.

Syllabus -

Last update: T_KPMS (12.05.2015)

Elementary events and their probabilities.

Conditional probability.

Independent events.

Random variables.

Discrete probability distributions.

Continuous probability distributions.