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Course unit, curriculum year 2023–2024
DATA.810

Master's Thesis Seminar, Data Science & Statistical Data Analytics, 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)
Active in period 5 (1.6.2024–31.7.2024)
Course code
DATA.810
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
Pass-Fail
Persons responsible
Responsible teacher:
Jaakko Peltonen
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %

The contents of the master's thesis and the associated thesis seminar are interrelated. Together they are: performing scientific research, writing a thesis, and presenting research results in data science and statistical data analytics. Participating in the seminar. Being familiar with the ethical norms of the field and applying these in the thesis. The seminar includes teaching in information acquisition skills organized by the library.

Learning outcomes
Prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
The thesis seminar is rated pass/fail.
Completion of all options is required.

Participation in teaching

04.09.2023 10.12.2023
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)
15.01.2024 31.05.2024
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)

Participation in teaching

29.08.2023 31.07.2024
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)
Active in period 5 (1.6.2024–31.7.2024)