Practical Course Advanced Networking (Summer 2014): Difference between revisions

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{{CourseDetails
{{CourseDetails
|credits=180h, 6 ECTS
|credits=180h, 6 ECTS
|module=M.Inf.805.6C: Fortgeschrittenenpraktikum Computernetzwerke (6C), M.Inf.1800.Mp: Fortgeschrittenen Praktikum Computernetzwerke
|module=M.Inf.805.6C: Fortgeschrittenenpraktikum Computernetzwerke (6C), M.Inf.1800.Mp: Fortgeschrittenen Praktikum Computernetzwerke; 3.14 - Practical Course on Advanced Networking (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu/ Prof. Xiaoming Fu]
|lecturer=[http://user.informatik.uni-goettingen.de/~fu/ Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Dr. Mayutan Arumaithurai],[http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
|ta=[http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Dr. Mayutan Arumaithurai],[http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
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* '''24 April, 2014, 14:00 - 16:00''': Informational meeting
* '''24 April, 2014, 14:00 - 16:00''': Informational meeting
** Introduction to the course, selection of topics, formation of teams, and discussion of open questions
** Introduction to the course, selection of topics, formation of teams, and discussion of open questions
* '''22 May/29 May 2014, 14:00 - 16:00''': Project mid-term presentation
* '''22 May 2014, 14:00 - 16:00''': Project mid-term presentation
** Give a presentation on the project topic, motivation and project plan
** Give a presentation on the project topic, motivation and project plan
** Time limit: 15 min presentation + 10 min Q&A
** Time limit: 15 min presentation + 10 min Q&A
* '''5th August 2014, 14:00 - 16:00''': Project final presentation (Flexible based on the request of the students)
* '''5th August 2014, 14:00 - 18:00''': Project final presentation  
** Present and demonstrate your project, the motivation, the architecture, the program and the result
** Present and demonstrate your project, the motivation, the architecture, the program and the result
** Time limit: 20 min presentation (with demo) + 10 min Q&A
** Time limit: 15 min presentation (with demo) + 5 min Q&A
* '''30 September 2014, 23:59''': Submission of written report
* '''30 September 2014, 23:59''': Submission of written report


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|{{Hl2}} |'''Student'''
|{{Hl2}} |'''Student'''


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| Campus mobile guide
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
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| The goal is to design a mobile application that pushes information about the campus to students, like the menu in the canteen everyday, and collect the mobility pattern of users for research purpose.
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| Large scale crawling and data analysis
| Large scale signal analysis  
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai], [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| Xu ren, [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
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|The team will have to perform a distributed large scale crawl of some popular service/webpage and analyze the obtained meta data.  
|Brain computer interface (BCI) lab at the Department of Neurorehabilitation Engineering focuses on decoding motor related information at the cortical level, using signals such as Electroencephalography (EEG), for the purpose of rehabilitation. In our lab, we seek to extract motor intentions (imagination or attempts) from EEG in real time, with which we use to trigger external devices (electric stimulator or robotic device) within a short latency. Currently, we are particularly interested in a special EEG signal modality called movement related cortical potential (MRCP) for the purpose of motion intention extraction. We are also working on advanced algorithms to extracting pathological signatures from EEG and EMG recordings. These signatures will also allow applying appropriate interventions.
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