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Block
Advanced Machine Learning and Data Science [T-WIWI-111305]
Type
Examination of another typeCredits
9Recurrence
Each termVersion
5Responsible
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Module Advanced Machine Learning and Data Science | Industrial Engineering and Management (M.Sc.)
- Module Advanced Machine Learning and Data Science | Economics Engineering (M.Sc.)
- Module Advanced Machine Learning and Data Science | Digital Economics (M.Sc.)
- Module Digital Financial Economics | Digital Economics (M.Sc.)
- Module Advanced Machine Learning and Data Science | Information Systems (M.Sc.)
- Module Advanced Machine Learning and Data Science | Information Engineering and Management (M.Sc.)
- Module Advanced Machine Learning and Data Science | Economathematics (M.Sc.)
Events
Course Number | Name | SWS | Type |
---|---|---|---|
SS25 2500016 | Advanced Machine Learning and Data Science | 4 | project (PRO) |
WS22 2530357 | Advanced Machine Learning and Data Science | 4 | project (PRO) |
SS24 2500016 | Advanced Machine Learning and Data Science | 4 | project (PRO) |
WS21 2530357 | Advanced Machine Learning and Data Science | 4 | internship (P) |
SS22 2530357 | Advanced Machine Learning and Data Science | 4 | internship (P) |
SS21 2530357 | Advanced Machine Learning and Data Science | 4 | internship (P) |
Exams
Course Number | Name | Appointments |
---|---|---|
SS21 2530357 | Advanced Machine Learning and Data Science | |
SS21 2530357 | Advanced Machine Learning and Data Science | |
SS21 2530357 | Advanced Machine Learning and Data Science | |
SS21 2530357 | Advanced Machine Learning and Data Science | |
SS21 2530357 | Advanced Machine Learning and Data Science |
Competence Certificate
The assessment is carried out in form of a written thesis based on the course "Advanced Machine Learning and Data Science".
Annotation
The course is targeted to students with a major in Data Science and/or Machine Learning. It offers students the opportunity to develop hands-on knowledge on new developments in data science and machine learning. Please apply via the link: https://portal.wiwi.kit.edu/forms/form/fbv-ulrich-msc-project.