Course unit, curriculum year 2024–2025
DATA.STAT.730
Bayesian Modeling and Computation, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 4 (3.3.2025–31.5.2025)
Course code
DATA.STAT.730Language of instruction
EnglishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Hyon-Jung Kim-OllilaResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Markov chains, MCMC methods, model checking and comparison, commonly used statistical models, such as hierarchical and regression models, binomial and count data models.
Monte Carlo
Integration, Accept/Reject
sampling, Importance sampling, Gibbs sampler, Metropolis-Hastings
Algorithm for handling Hierarchical models
Learning outcomes
Recommended prerequisites
Learning material
Studies that include this course
Completion option 1
Course will be lectured on academic year 2024-2025 and 2026-2027 in 4th period.
Completion of all options is required.
Participation in teaching
03.03.2025 – 31.05.2025
Active in period 4 (3.3.2025–31.5.2025)
Exam
03.03.2025 – 31.05.2025
Active in period 4 (3.3.2025–31.5.2025)
13.05.2025 – 13.05.2025
Active in period 4 (3.3.2025–31.5.2025)