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Block
Machine Learning 2 – Advanced Methods [T-WIWI-106341]
Type
Written examinationCredits
4.5Recurrence
Each summer termVersion
4Responsible
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Module Informatics | Industrial Engineering and Management (M.Sc.)
- Module Emphasis in Informatics | Industrial Engineering and Management (M.Sc.)
- Module Analytics and Statistics | Industrial Engineering and Management (M.Sc.)
- Module Electives in Informatics | Industrial Engineering and Management (M.Sc.)
- Module Informatics | Economics Engineering (M.Sc.)
- Module Emphasis in Informatics | Economics Engineering (M.Sc.)
- Module Analytics and Statistics | Economics Engineering (M.Sc.)
- Module Electives in Informatics | Economics Engineering (M.Sc.)
- Module Informatics & Machine Learning | Digital Economics (M.Sc.)
- Module Emphasis in Informatics | Digital Economics (M.Sc.)
- Module Analytics and Statistics | Digital Economics (M.Sc.)
- Module Electives in Informatics | Digital Economics (M.Sc.)
- Module Machine Learning | Information Systems (M.Sc.)
- Module Analytics and Statistics | Information Systems (M.Sc.)
- Module Machine Learning | Information Engineering and Management (M.Sc.)
- Module Analytics and Statistics | Information Engineering and Management (M.Sc.)
- Module Informatics | Economathematics (M.Sc.)
- Module Analytics and Statistics | Economathematics (M.Sc.)
Events
Course Number | Name | SWS | Type |
---|---|---|---|
SS23 2511502 | Machine Learning 2 - Advanced methods | 2 | lecture (V) |
SS20 2511502 | Machine Learning 2 - Advanced methods | 2 | lecture (V) |
SS24 2511502 | Machine Learning 2 - Advanced methods | 2 | lecture (V) |
SS22 2511502 | Machine Learning 2 - Advanced methods | 2 | lecture (V) |
SS21 2511502 | Machine Learning 2 - Advanced methods | 2 | lecture (V) |
SS22 2511503 | Exercises for Machine Learning 2 - Advanced Methods | 1 | exercise (Ü) |
SS21 2511503 | Exercises for Machine Learning 2 - Advanced Methods | 1 | exercise (Ü) |
SS20 2511503 | Exercises for Machine Learning 2 - Advanced Methods | 1 | exercise (Ü) |
SS23 2511503 | Exercises for Machine Learning 2 - Advanced Methods | 1 | exercise (Ü) |
SS24 2511503 | Exercises for Machine Learning 2 - Advanced Methods | 1 | exercise (Ü) |
Exams
Course Number | Name | Appointments |
---|---|---|
SS20 7900080 | Machine Learning 2 – Advanced Methods (Registration until 15 July 2024) | 30.07.2024 - 08:00 |
SS20 7900080 | Machine Learning 2 – Advanced Methods | 21.02.2023 - 06:00 |
SS20 7900080 | Machine Learning 2 – Advanced Methods | 20.02.2024 - 06:00 |
SS20 7900080 | Machine Learning 2 – Advanced Methods | |
SS20 7900080 | Machine Learning 2 – Advanced Methods (Registration until 17 July 2023) | 01.08.2023 - 08:00 |
SS20 7900080 | Machine Learning 2 – Advanced Methods | 15.02.2022 - 10:00 |
SS20 7900080 | Machine Learning 2 – Advanced Methods (Registration until 18 July 2022) | 02.08.2022 - 07:00 |
SS20 7900080 | Machine Learning 2 – Advanced Methods (Registration until 12 July 2021) | 16.07.2021 - 10:00 27.07.2021 - 12:30 |
SS20 7900080 | Machine Learning 2 – Advanced Methods (Registration until 08 February 2021) | |
SS20 7900080 | Machine Learning 2 – Advanced Methods (Registration until 13 July 2020) |
Competence Certificate
Depending on further pandemic developments, the exam will be offered either as an open-book exam, or as a written exam (60 min).
The exam takes place every semester and can be repeated at every regular examination date.
Prerequisites
The course T-INFO-101392 “Machine Learning 2 – Advanced Methods” must not be chosen.