SubjectsSubjects(version: 970)
Course, academic year 2015/2016
   Login via CAS
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 2015 to 2015
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
Guarantor: RNDr. Jitka Zichová, Dr.
Teacher(s): RNDr. Jakub Staněk, Ph.D.
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 : NUMP013
Interchangeability : NUMP013
Is co-requisite for: NMUM404
Is incompatible with: NUMP013
Is interchangeable with: NUMP013
Annotation -
A course for future teachers of mathematics. Random events, conditional probability, independence. Random variables and their probability distributions.
Last update: T_KPMS (12.05.2015)
Aim of the course -

To explain basics of probability theory.

Last update: T_KPMS (12.05.2015)
Literature - Czech

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

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

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

Lecture+exercises.

Last update: T_KPMS (12.05.2015)
Syllabus -

Elementary events and their probabilities.

Conditional probability.

Independent events.

Random variables.

Discrete probability distributions.

Continuous probability distributions.

Last update: T_KPMS (12.05.2015)
 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html