| Detailinformationen |
| Quellcurriculum |
Masterstudium Statistics 2023W |
| Ziele |
(*)Students practise to acquire knowledge, give a presentation and actively participate in expert discussions in a special field of data science
|
| Lehrinhalte |
(*)special field of data science, e.g. algebraic statistics, spatial data analysis, machine learning, neural networks
|
| Beurteilungskriterien |
(*)presentation, discussion, written report
|
| Lehrmethoden |
(*)presentations by students
plenary discussion of each presentation
|
| Abhaltungssprache |
Englisch |
| Literatur |
(*)will be announced each semester
|
| Lehrinhalte wechselnd? |
Ja |
| Äquivalenzen |
(*)951APSTASBS14: SE Applied Statistics B (6 ECTS)
|
| Frühere Varianten |
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
951APSTSAPS17: SE Statistical Applications (2017W-2023S)
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