DE
Block
Machine Learning 1 - Basic Methods [T-WIWI-106340]
Type
Written examinationCredits
4.5Recurrence
Each winter 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 Electives in Informatics | Industrial Engineering and Management (M.Sc.)
- Module Informatics | Economics Engineering (M.Sc.)
- Module Emphasis in Informatics | 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 Electives in Informatics | Digital Economics (M.Sc.)
- Module Machine Learning | Information Systems (M.Sc.)
- Module Machine Learning | Information Engineering and Management (M.Sc.)
- Module Informatics | Economathematics (M.Sc.)
Events
| Course Number | Name | SWS | Type |
|---|---|---|---|
| WS21 2511500 | Machine Learning 1 - Fundamental Methods | 2 | lecture (V) |
| WS23 2511500 | Machine Learning 1 - Fundamental Methods | 2 | lecture (V) |
| WS19 2511500 | Machine Learning 1 - Fundamental Methods | 2 | lecture (V) |
| WS20 2511500 | Machine Learning 1 - Fundamental Methods | 2 | lecture (V) |
| WS22 2511500 | Machine Learning 1 - Fundamental Methods | 2 | lecture (V) |
| WS23 2511501 | Exercises to Machine Learning 1 - Fundamental Methods | 1 | exercise (Ü) |
| WS19 2511501 | Exercises to Machine Learning 1 - Fundamental Methods | 1 | exercise (Ü) |
| WS22 2511501 | Exercises to Machine Learning 1 - Fundamental Methods | 1 | exercise (Ü) |
| WS21 2511501 | Exercises to Machine Learning 1 - Fundamental Methods | 1 | exercise (Ü) |
| WS20 2511501 | Exercises to Machine Learning 1 - Fundamental Methods | 1 | exercise (Ü) |
Exams
| Course Number | Name | Appointments |
|---|---|---|
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods (Registration until 18 July 2022) | 03.08.2022 - 03:00 |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods | |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods | 22.02.2023 - 04:00 |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods | 16.02.2022 - 04:00 |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods (Registration until 12 July 2021) | 13.07.2021 - 01:00 28.07.2021 - 09:30 |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods (Registration until 13 July 2020) | |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods (Registration until 17 July 2023) | 02.08.2023 - 02:00 |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods (Registration until 15 July 2024) | 31.07.2024 - 02:00 |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods (Registration until 28 February 2021) | |
| WS23 79AIFB_ML1_C5 | Machine Learning 1 - Basic Methods | 21.02.2024 - 04:00 |
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.
A grade bonus can be earned by successfully completing practice exercises. If the grade of the written exam is between 4.0 and 1.3, the bonus improves the grade by up to one grade level (0.3 or 0.4). Details will be announced in the lecture.
Prerequisites
The course T-INFO-101354 “Machine Learning 1 - Basic Methods” must not be chosen.