PdF:MS2RC_PRST Probability and statistics - Course Information
MS2RC_PRST Probability and statistics
Faculty of EducationAutumn 2022
- Extent and Intensity
- 0/0/12. 5 credit(s). Type of Completion: zk (examination).
- Guaranteed by
- doc. RNDr. Jaroslav Beránek, CSc.
Department of Mathematics – Faculty of Education
Supplier department: Department of Mathematics – Faculty of Education - Prerequisites
- The basics of combinatorics.
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Studies to Extend Teaching Qualification for Lower Seconday Schools (programme PdF, C-CV, specialization Matematika pro základní školy)
- ZSS Mathematics Teacher Education for Secondary Schools (programme PdF, C-CV)
- ZS1 Matematics Teacher Education for Lower Secondary Schools (programme PdF, C-CV)
- Course objectives
- The students should get an overview of the basic properties of probability to be able to deal with simple problems in probability and descriptive statistics.
- Syllabus
- 1. Random Events. 2. Classical Probability. 3. Geometrical Probability. 4. Conditional Probability. 5. Descriptive Statistics.
- Literature
- BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Teorie pravděpodobnosti a matematická statistika. Sbírka příkladů. (Probability Theory and Mathematical Statistics. Collection of Tasks.). 3rd ed. Brno: Masarykova univerzita, 2004, 127 pp. ISBN 80-210-3313-4. info
- BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Popisná statistika (Descriptive Staistics). 1. dotisk 3. vydání. Brno: Masarykova univerzita v Brně, 2001, 52 pp. ISBN 80-210-1831-3. info
- Teaching methods
- Lectures
- Assessment methods
- Written test and oral exam
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Information on the extent and intensity of the course: 12.
- Enrolment Statistics (Autumn 2022, recent)
- Permalink: https://is.muni.cz/course/ped/autumn2022/MS2RC_PRST