Practical Course Advanced Networking (Summer 2016): Difference between revisions

 
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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=[http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao, MSc.]
|ta=Yali Yuan, MSc.
|time=start:April 18, 10-12
|time=start:April 18, 10-12
|place=IFI 3.101
|place=IFI 3.101
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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==


==Schedule==
==Schedule==
* '''18 April 2016 (Monday), 10-12''': Informational meeting
* '''18 April 2016 (Monday), 10-12''': Informational meeting
** Introduction to the course, formation of teams, and discussion of open questions
** Introduction to the course, formation of teams, and discussion of open questions
* '''18 April - 29 April''': Let's make sure we're on the same page
* '''18 April - 7 May''': Let's make sure we're on the same page
** You will get a warmup-task with a simple dataset that you should analyse descriptively, and then build a machine learning predictor on. This is to ensure that you meet the course prerequisites. Students who fail this step will not be allowed to continue the course.
** You will get a warmup-task with a simple dataset that you should analyse descriptively, and then build a machine learning predictor on. This is to ensure that you meet the course prerequisites. Students who fail this step will not be allowed to continue the course.
* '''29 April''': Submission on warmup task due
* '''7 May''': Submission on warmup task due (submit to yali [dot] yuan [at] informatik.uni-goettingen.de)
* '''2 May - 9 June''': Working on task #1
* '''2 May - 9 June''': Working on task #2
* '''9 June, 14-16''': Presentation on task #1
* '''9 June, 14-16''': Presentation on task #2
* '''13 June - 14 July''': Working on task #2
* '''13 June - 14 July''': Working on task #3
* '''14 July, 14-16''' Presentation on task #2
* '''14 July, 14-16''' Presentation on task #3
* '''30 September:''' Submission of final report.
* '''30 September:''' Submission of final report.