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Advanced Practical Course Data Science (Winter 2019/2020): Difference between revisions

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Advanced Practical Course Data Science (Winter 2019/2020) (view source)

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|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]; [http://www.net.informatik.uni-goettingen.de/?q=people/shuai-xu Shuai Xu]
|time=TBD
|time=Friday, 16-18
|place=Ifi 2.101  
|place=Ifi 2.101  
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=231595&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung link]
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&veranstaltung.veranstid=253765 link]
}}
}}


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Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester (September 30).
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester.


==Prerequisites==
==Prerequisites==
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*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries


----
==Schedule==
==Schedule==
{| {{Prettytable|width=}}
{| {{Prettytable|width=}}
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|{{Hl2}} |'''What?'''
|{{Hl2}} |'''What?'''
|-
|-
| align="right" | 18.04.2019(15:00 to 16:00 for first lecture)
| align="right" | 25.10.2019
| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release
| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release
|-
|-
| align="right" | 25.04.2019
| align="right" | 01.11.2019
| No lecture
|-
| align="right" | 08.11.2019
| Lecture 2: The Python Data Science Stack
| Lecture 2: The Python Data Science Stack
|-
|-
| align="right" | 02.05.2019
| align="right" | 15.11.2019
| No lecture
| Task 1: Intermediate meeting 
|-
|-
| align="right" | 09.05.2019
| align="right" | 22.11.2019
| Task 1: Intermediate meeting
| Lecture 3: Advanced Algorithms for Data Science // Task 1 report submission // Task 2: release
|-
|-
| align="right" | 16.05.2019
| align="right" | 29.11.2019
| Lecture 3: Advanced Algorithms for Data Science // Task 2: release
| No lecture
|-
|-
| align="right" | 23.05.2019
| align="right" | 06.12.2019
| No lecture // Task 1 report submission
| No lecture  
|-
|-
| align="right" | 30.05.2019
| align="right" | 13.12.2019
| NO LECTURE (PUBLIC HOLIDAY) // Task 3: release
| Lecture 4: Evaluation and Tuning of Models // Task 2 report submission // Task 3: release
|-
|-
| align="right" | 06.06.2019
| align="right" | 20.12.2019
| No lecture // Task 2 report submission
| No lecture
|-
|-
| align="right" | 13.06.2019
| align="right" | 27.12.2019
| Lecture 4: Evaluation and Tuning of Models
| No lecture
|-
| align="right" | 20.06.2019
| Task 3: Intermediate meeting I
|-
|-
| align="right" | 27.06.2019
| align="right" | 03.01.2020
| No lecture
| No lecture
|-
|-
| align="right" | 04.07.2019
| align="right" | 10.01.2020
| Task 3: Intermediate meeting II
| Task 3: Intermediate meeting I
|-
|-
| align="right" | 11.07.2019
| align="right" | 17.01.2020
| No lecture
| No lecture
|-
|-
| align="right" | 18.07.2019
| align="right" | 24.01.2020
| No lecture
| No lecture
|-
|-
| align="right" | 19.07.2019
| align="right" | 31.01.2020
| No lecture // Final slides submission (Only slides)
| Task 3: Intermediate meeting II
|-
|-
| align="right" | 24.07.2019 (8:00am-18:00pm)
| align="right" | 31.01.2020  07.02.2020
| Task 3: Presentations (Final Presentation)
| Task 3: Presentations (Final Presentation)
|-
|-
| align="right" | 30.09.2019
| align="right" | 05.05.2020
| Final Report deadline (Including report and code)
| Final Report deadline (Including report and code)
|-
|-
|}
|}
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