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Course unit, curriculum year 2020–2021
DATA.STAT.620

Bayesian filtering and smoothing, 5 cr

Tampere University
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 teaching
Language of instruction
English
Credits
5 cr
Grading scale
General scale, 0-5
Responsible 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