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Course title -
Course code KMA/BAY
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study 2
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Vencálek Ondřej, doc. Mgr. Ph.D.
  • Fürst Tomáš, RNDr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified
KMA/MA1 and KAG/LA1A

Assessment methods and criteria
unspecified
Recommended literature
  • Downey, A. B. (2013). Think Bayes. O'Reilly.
  • Gelman, A. (2013). Bayesian data analysis, Series: Chapman & Hall/CRC Texts in Statistical Science. Chapman and Hall.
  • Kruschke, J. (2014). Doing Bayesian Data Analysis: A Tutorial with R. JAGS and Stan.
  • MacKay, D. (2003). Information theory, Inference, and learning algorithms.
  • McElreath, R. (2015). Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Chapman & Hall.
  • Vencálek, O. (2021). Úloha o rozdělení sázky ? tradiční a bayesovský pohled. Informační bulletin ČStS 4/2021.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2026) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Data Science (2026) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2026) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Mathematics (2020) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Mathematics for Sustainable Innovation (2026) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer