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

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{{Announcement|All participants please send an E-Mail to David including your name, matriculation number and your background on data science}}
{{Announcement|Task 2 (Intrusion Detection Classification) is online! Please explore the dataset and prepare your questions for the meeting on November 17!}}
== Details ==
== Details ==
{{CourseDetails
{{CourseDetails
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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.
==Slides and Task Descriptions==
* [[Media:WS1617_task1.pdf | Warmup Problem PDF (data linked inside)]]
* [[Media:WS1617_task2.pdf | Intrusion Detection Problem PDF (data linked inside)]]


==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) in single PDF by E-Mail to David'''
* 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.
** Also attach your Code
** Also attach your Code
** Overall, this submission also decides on whether or not you will be able to continue the course.
** 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 3: Release of first project (on network security)
* '''November 17: Meeting to discuss properties of / problems with data set for first project'''
* November 17: Meeting to discuss properties of / problems with data set for first project
* '''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 13 (note: this is a friday, time and room remains the same):
* '''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)

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