Introductory course of probability theory and descriptive statistics which covers the basic notions needed for the course of statistics.
Poslední úprava: Hanus Luboš, Mgr., Ph.D. (01.02.2026)
Introductory course of probability theory and descriptive statistics which covers the basic notions needed for the course of statistics.
Poslední úprava: Hanus Luboš, Mgr., Ph.D. (01.02.2026)
Podmínky zakončení předmětu - angličtina
Grading 2025/2026:
Assignments 30% of the grade:
There will be three assignments for 30% of the grade in total.
2x assignment per 8%, TBA
1x project for 14%, TBA
Midterm test 20% of the grade:
Midterm is scheduled for March 31, 2026, 12:30-13:50.
Written exam.
There will be no other option to re-take the midterm.
Final Exam 50% of the grade:
100-minute written test which is in person (no online) during the exam period.
Terms to be announced no later than the end of March.
Exam dates (preliminary):
Tuesday, May 19, 2026; 12:30
Tuesday, May 26, 2026; 12:30
Tuesday, June 2, 2026; 12:30
Tuesday, June 16, 2026; 12:30
Tuesday, June 23, 2026; 12:30
Tuesday, June 30, 2026; 12:30
Grading system based on percents of the grade:
0-50 percents ... F ... insufficient (substantial extra work required) 51-60 percents ... E ... sufficient (satisfies minimum requirements) 61-70 percents ... D ... acceptable (with large number of major mistakes) 71-80 percents ... C ... good (solid with few major mistakes) 81-90 percents ... B ... very good (above average with some mistakes) 91-100 percents ... A ... excellent (with minor mistakes)
For a successful exam, it is additionally required to score at least 51% of the written test, i.e. obtain at least 25.5% of the grade or more from the written test.
Poslední úprava: Hanus Luboš, Mgr., Ph.D. (25.02.2026)
Sylabus -
1. Introduction to statistics and probability theory 2. Descriptive statistics, graphical methods of data description 3. Experiments, sample spaces and events 4. Definitions and properties of probability 5. Counting 6. Conditional probability and independence of events 7. Sampling methods 8. Random variables, selected families of distributions 9. Expectations
Poslední úprava: Hanus Luboš, Mgr., Ph.D. (01.02.2026)
1. Introduction to statistics and probability theory 2. Descriptive statistics, graphical methods of data description 3. Experiments, sample spaces and events 4. Definitions and properties of probability 5. Counting 6. Conditional probability and independence of events 7. Sampling methods 8. Random variables, selected families of distributions 9. Expectations
Poslední úprava: Hanus Luboš, Mgr., Ph.D. (01.02.2026)