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)]]
* [[Media:WS1617_task3.pdf | Social Networking Problem PDF (data linked inside)]]
* [[Media:WS1617_task4.pdf | User profiling based on app usage PDF (data linked inside)]]


==Schedule (Tentative)==
==Schedule (Tentative)==

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