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Advanced Practical Course Data Science (Winter 2020/2021) (view source)
Revision as of 04:30, 11 December 2020
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==Announcement== | ==Announcement== | ||
'''20.10.2020 Our first lecture will be on 06.11.2020 through the Meeings tool on StudIP''' | |||
'''30.09.2020 Our course in this semeter will be online''' | '''30.09.2020 Our course in this semeter will be online''' | ||
| Line 47: | Line 50: | ||
|{{Hl2}} |'''What?''' | |{{Hl2}} |'''What?''' | ||
|- | |- | ||
| align="right" | TBD | | align="right" | 06.11.2020 | ||
| TBD | | Lecture 1: Introduction & The Data Science Pipeline | ||
|- | |||
| align="right" | 13.11.2020 | |||
| Lecture 2: The Python Data Science Stack - Task 1: Release | |||
|- | |||
| align="right" | 20.11.2020 | |||
| No lecture | |||
|- | |||
| align="right" | 27.11.2020 | |||
| Task 1: Intermediate meeting | |||
|- | |||
| align="right" | 04.12.2020 | |||
| // Task 1 report submission //Task 2: release | |||
|- | |||
| align="right" | 11.12.2020 | |||
| No lecture | |||
|- | |||
| align="right" | 18.12.2020 | |||
| Lecture 3: Advanced Algorithms for Data Science | |||
|- | |||
| align="right" | 25.12.2020 | |||
| No lecture // Task 2 report submission | |||
|- | |||
| align="right" | 01.01.2021 | |||
| No lecture (holidays） | |||
|- | |||
| align="right" | 08.01.2021 | |||
| No lecture (holidays) | |||
|- | |||
| align="right" | 15.01.2021 | |||
| Lecture 4: Evaluation and Tuning of Models // Task 3: release | |||
|- | |||
| align="right" | 22.01.2021 | |||
| No lecture | |||
|- | |||
| align="right" | 29.01.2021 | |||
| Task 3: Intermediate meeting | |||
|- | |||
| align="right" | 05.02.2021 | |||
| Final Presentation (TBD) | |||
|- | |||
| align="right" | 12.02.2021 | |||
| Final Presentation (TBD) | |||
|- | |||
| align="right" | 31.03.2021 | |||
| Final Report deadline (Including report and code) | |||
|- | |- | ||
|} | |} | ||