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Data Science in Smart City (Summer 2026): Difference between revisions

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Created page with "{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}} == Details == {{CourseDetails |credits=180h, 6 ECTS |module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke |lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://www.net.informatik.uni-goettingen.de/?q=people/yanlong-huang Yanlong Huang] |ta=Yanlong Huang, Jan Lenke |time=Monday 10:00 - 12:00am |p..."
 
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|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://www.net.informatik.uni-goettingen.de/?q=people/yanlong-huang Yanlong Huang]
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://www.net.informatik.uni-goettingen.de/?q=people/yanlong-huang Yanlong Huang]
|ta=Yanlong Huang, Jan Lenke
|ta=Yanlong Huang, Jan Lenke
|time=Monday 10:00 - 12:00am
|time=Monday 8:00 - 10:00am
|place= [https://univz.uni-goettingen.de/qisserver/rds;jsessionid=A0D213EBDDAF9A0A0BB5BBA4B3F5E795.s44?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoRaum&publishSubDir=raum&keep=y&raum.rgid=8903 Room 1.101, Goldschmidtstr. 7 (Informatik u.Stochastik)]
|place= [https://univz.uni-goettingen.de/qisserver/rds;jsessionid=A0D213EBDDAF9A0A0BB5BBA4B3F5E795.s44?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoRaum&publishSubDir=raum&keep=y&raum.rgid=8903 Room 1.101, Goldschmidtstr. 7 (Informatik u.Stochastik)]
|univz=[https://www.studip.uni-goettingen.de/dispatch.php/course/details?sem_id=00c43797ae27491ab2fce12f8421056f]
|univz=[https://www.studip.uni-goettingen.de/dispatch.php/course/details?sem_id=00c43797ae27491ab2fce12f8421056f]
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|{{Hl2}} |'''What?'''
|{{Hl2}} |'''What?'''
|-
|-
| align="left" | TODO
| align="left" | 13.04.2026
| Lecture 1 The Data Science Pipeline
| Lecture 1 The Data Science Pipeline (online)
|-
|-
| align="left" | TODO
| align="left" | 20.04.2026
| Lecture 2 Python Stack & Release of Task 1
| Lecture 2 Python Stack & Release of Task 1 (online)
|-
|-
| align="left" | TODO
| align="left" | 27.04.2026
| Lecture 3 GNN
| Lecture 3 GNN (online)
|-  
|-  
| align="left" | TODO
| align="left" | 04.05.2026
| Intermediate meeting of Task 1
| Intermediate meeting of Task 1 (online)
|-
|-
| align="left" | TODO
| align="left" | 11.05.2026
| No Lecture, Task 1 report submission (Before 10PM)
| No Lecture, Task 1 report submission (Before 10PM)
|-
|-
| align="left" | TODO
| align="left" | 18.05.2026
| Lecture 4 3D Reconstruction
| Lecture 4 3D Reconstruction
|-
| align="left" | 25.05.2026
| NO LECTURE (PUBLIC HOLIDAY)
|-  
|-  
| align="left" | TODO
| align="left" | 01.06.2026
| Lecture 5 3D Object Detection & Release of Task 2  
| Lecture 5 3D Object Detection & Release of Task 2  
|-
|-
| align="left" | TODO
| align="left" | 08.06.2026
| Intermediate meeting of Task 2
| Intermediate meeting of Task 2
|-
|-
| align="left" | TODO
| align="left" | 15.06.2026
| No Lecture, Task 2 report submission (Before 10PM)
| No Lecture, Task 2 report submission (Before 10PM)
|-
|-
| align="left" | TODO
| align="left" | 22.06.2026
| Release of Task 3
| Release of Task 3
|-
|-
| align="left" | TODO
| align="left" | 29.06.2026
| Intermediate meeting Task 3
| Intermediate meeting Task 3 (online)
|-
|-
| align="left" | TODO
| align="left" | TBD
| Final Presentation
| Final Presentation
|-
|-
| align="left" | TODO
| align="left" | TBD
| Final Report Submission (Before 10PM)
| Final Report Submission (Before 10PM)
|}
|}
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