100
edits
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| align="right" | 05.11.2021 | | align="right" | 05.11.2021 | ||
| Lecture 2: The Data Science Pipeline | | Lecture 2: The Data Science Pipeline | ||
|- | |- | ||
| align="right" | 12.11.2021 | | align="right" | 12.11.2021 | ||
| | | Lecture 3: The Python Data Science Stack - Task 1: Release | ||
|- | |- | ||
| align="right" | 19.11.2021 | | align="right" | 19.11.2021 | ||
Line 69: | Line 69: | ||
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| align="right" | 26.11.2021 | | align="right" | 26.11.2021 | ||
| | | No lecture | ||
|- | |- | ||
| align="right" | 03.12.2021 | | align="right" | 03.12.2021 | ||
| Lecture 4: | | Lecture 4: Video analysis in smart city - Task 2: Release | ||
|- | |- | ||
| align="right" | | | align="right" | 10.12.2021 | ||
| | | TBD | ||
|- | |- | ||
| align="right" | | | align="right" | 17.12.2021 | ||
| | | TBD | ||
|- | |- | ||
| align="right" | | | align="right" | 24.12.2021 | ||
| No lecture | | No lecture | ||
|- | |- | ||
| align="right" | | | align="right" | 31.12.2021 | ||
| No lecture | | No lecture | ||
|- | |- | ||
| align="right" | | | align="right" | 07.01.2022 | ||
| | | TBD | ||
|- | |- | ||
| align="right" | 01. | | align="right" | 14.01.2022 | ||
| | | TBD | ||
|- | |- | ||
| align="right" | | | align="right" | 21.01.2022 | ||
| | | TBD | ||
|- | |- | ||
| align="right" | | | align="right" | 31.01.2022 | ||
| Final Presentation (TBD) | | Final Presentation (TBD) | ||
|- | |- | ||
| align="right" | | | align="right" | 07.02.2022 | ||
| Final Presentation (TBD) | | Final Presentation (TBD) | ||
|- | |- | ||
| align="right" | | | align="right" | 14.02.2022 | ||
| Final Report deadline (Including report and code) | | Final Report deadline (Including report and code) | ||
|- | |- |
edits