Practical Course on Data Science for Computer Networks (Winter 2016/2017): Difference between revisions

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(Created page with "== Details == {{CourseDetails |credits=180h, 6 ECTS |module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke |lecturer=[http://www.net.informatik.uni-goettingen.de/people...")
 
 
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|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/david_koll Dr. David Koll]
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/david_koll Dr. David Koll]
|ta=TBA
|ta=None
|time=start:TBA
|time=Thursday, 14-16 (bi-weekly)
|place=IFI 3.101
|place=IFI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=196722&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=196722&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
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==Course Organization==
==Course Organization==
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Each team will need to present their solution for each task. Intermediate reports will have to be submitted from time to time and a final report needs to be submitted at the end of the semester (September 30).
Each team will need to present their solution for each task. Intermediate reports will have to be submitted from time to time and a final report needs to be submitted at the end of the semester (September 30).
There is an option to participate as a team in the 2017 [http://btw2017.informatik.uni-stuttgart.de/?pageId=CallForDSChallenge BTW Data Science Challenge] (sponsored by IBM).


==Prerequisites==
==Prerequisites==
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* It is mandatory for all students to '''stick to the deadlines''' mentioned in [[#Schedule]]''' and to attend other teams' presentations.
* It is mandatory for all students to '''stick to the deadlines''' mentioned in [[#Schedule]]''' and to attend other teams' presentations.


==Slides and Task Descriptions==
==Schedule (Tentative)==
* TBA
* October 20:
** Informational meeting
** Release of warmup problem
* November 3: Submission of warmup problem (5% of final grade) in single PDF by E-Mail to David
** Submit as a PDF report
** In the PDF describe your steps in exploratory data analysis and link your results to the predictive model you have built.
** Also attach your Code
** Overall, this submission also decides on whether or not you will be able to continue the course.
* November 3: Release of first project (on network security)
* November 17: Meeting to discuss properties of / problems with data set for first project
* December 1:
**Presentation of first project results (20% of final grade)
** '''Release of second project (on social network analysis)'''
* '''December 18: Meeting to discuss properties of / problems with data set for second project'''
* '''January 13 (note: this is a friday, time and room remains the same):'''
** '''Presentation of second project results (15% of final grade)'''
** '''Release of third project (on user profiling in mobile network data)'''
* January 25: Meeting to discuss properties of / problems with data set for third project
* Date TBA: Presentation of third project results (40% of final grade)
* March 31: Submission of final reports for projects 1-3 (20% of final grade)


==Schedule==
All meetings will be at 2.15pm in room IFI 3.101.
* TBA

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