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Course unit, curriculum year 2023–2024
DATA.STAT.470

Generalized linear models 1, 5 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Course code
DATA.STAT.470
Language of instruction
Finnish
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Intermediate studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Arto Luoma
Responsible teacher:
Tapio Nummi
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %

Yleistetty lineaarinen malli. Logistinen regressiomalli, multinomilogit-malli, kertymämalli, log-lineaarinen malli ml. Poisson-regressio jne. Mallien estimointi ja testaus suurimman uskottavuuden menetelmällä. Mallin valinta ja diagnostiikka.

Learning outcomes
Prerequisites
Recommended prerequisites
Learning material
Studies that include this course
Completion option 1
Completion of all options is required.

Participation in teaching

04.09.2023 14.12.2023
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)

Exam

26.10.2023 26.10.2023
Active in period 2 (23.10.2023–31.12.2023)
13.12.2023 13.12.2023
Active in period 2 (23.10.2023–31.12.2023)
08.11.2023 08.11.2023
Active in period 2 (23.10.2023–31.12.2023)
29.02.2024 31.05.2024
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)