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Practical Course on Data Science for Computer Networks (Winter 2016/2017): Difference between revisions
Practical Course on Data Science for Computer Networks (Winter 2016/2017) (view source)
Revision as of 15:04, 10 April 2017
, 10 April 2017→Slides and Task Descriptions
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== Details == | == Details == | ||
{{CourseDetails | {{CourseDetails | ||
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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= | |ta=None | ||
|time= | |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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* Prepare a '''written report''' on the work done in the course (15-20 pages containing the most important steps taken and their results, Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]) (20%) | * Prepare a '''written report''' on the work done in the course (15-20 pages containing the most important steps taken and their results, Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]) (20%) | ||
* 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. | ||
==Schedule (Tentative)== | ==Schedule (Tentative)== | ||
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** Informational meeting | ** Informational meeting | ||
** Release of warmup problem | ** Release of warmup problem | ||
* November 3: Submission of warmup problem (5% of final grade) | * November 3: Submission of warmup problem (5% of final grade) in single PDF by E-Mail to David | ||
** Submit as a PDF report | ** 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. | ** In the PDF describe your steps in exploratory data analysis and link your results to the predictive model you have built. | ||
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* December 1: | * December 1: | ||
**Presentation of first project results (20% of final grade) | **Presentation of first project results (20% of final grade) | ||
** Release of second project (on social network analysis) | ** '''Release of second project (on social network analysis)''' | ||
* December 18: Meeting to discuss properties of / problems with data set for second project | * '''December 18: Meeting to discuss properties of / problems with data set for second project''' | ||
*January | * '''January 13 (note: this is a friday, time and room remains the same):''' | ||
** Presentation of second project results (15% of final grade) | ** '''Presentation of second project results (15% of final grade)''' | ||
** Release of third project (on user profiling in mobile network data) | ** '''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 | * 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) | * Date TBA: Presentation of third project results (40% of final grade) | ||