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Course unit, curriculum year 2020–2021
DATA.STAT.620
Bayesian filtering and smoothing, 5 cr
Tampere University
- Description
- Completion options
- Completion option 1
Students self-study the textbook and recorded lectures, participate in weekly tutorials (discuss lecture material and present homework problem solutions), and do a 24-hour open-book take-home exam.
Bayesian filtering and smoothing (Participation in teaching), English
Type
Participation in teachingLanguage of instruction
EnglishCredits
5 crGrading scale
General scale, 0-5Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Scheduled teaching
Course unit realisation
Bayesian filtering and smoothing, Small group teaching
Small group teaching (English)
12.1.2021 – 30.4.2021
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)
Learning environments
Common learning events for all
Exercise:Teachers
Exercise:
Teachers