Seminar on Internet Technologies (Summer 2022): Difference between revisions

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|ta = Tingting Yuan [tingting.yuan@cs.uni-goettingen.de]
|ta = Tingting Yuan [tingting.yuan@cs.uni-goettingen.de]
|time='''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.'''
|time='''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.'''
|place=Through Zoom, waiting link
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=302541&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]}}
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=279555&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]}}


==Announcement==
==Announcement==
No open talk. You can contact your topic advisor to schedule a 1V1 meeting or talk.
No open talk. You can contact your topic advisor to schedule a 1V1 meeting or talk.


Due to the recent situations in the context of Covid-19, new information will be updated here in time, please check this webpage periodically to get the newest information.
'''!! 25.06 deadline for registration on Flexnow'''


==Course description==
==Course description==
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==Passing requirements==
==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
*There will be 2 milestones before the presentations that the students should pass before they register for the course.
**Intro milestone where the adviser makes sure that the student starts to work on the topic and follows an accepted methodology.
**Intro milestone where the adviser makes sure that the student starts to work on the topic and follows an accepted methodology.
**Midterm milestone. (ex. programming tasks are done etc... )  
**Midterm milestone. (ex. programming tasks are done etc... )  
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*Actively and frequently participate in the project communication with the topic advisor
*Actively and frequently participate in the project communication with the topic advisor
**This accounts for 20% of your grade.
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
* Present the selected topic (20 min. presentations + 10 min. Q&A).
** This accounts for 40% of your grade.
** This accounts for 40% of your grade.
* Write a report on the selected topic (10-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
* Write a report on the selected topic (6-8 pages) (LaTeX Template:[https://www.overleaf.com/latex/templates/template-sobraep-english/vnqtqpynnymb]).
** This accounts for 40% of your grade.
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.
* Please check the [[#Schedule]] and adhere to it.


==Schedule==
==Schedule==
* '''1th Nov. 2021 ''': Deadline for registration the course
* '''24.06.2022 ''': Deadline for registration to attend the final presentation
* '''10th Feb. 2022 ''': Deadline for registration to attend the final presentation
* '''19.07.2022 2PM-3PM''' : Final Presentations (IFI 1.101)
* '''17th Feb. 2022 ''' : Final Presentations online (Throught Meetings in StudIP)
* '''12.08.2022 (23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).
* '''22th March 2022 (23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).


== Topics ==
== Topics ==
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| Basic programming knowledge, Basic machine learning knowledge, need coding work
| Basic programming knowledge, Basic machine learning knowledge, need coding work
| [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
| [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
|[https://arxiv.org/abs/1911.02254]
|
| Yes
| Yes
|-
|-
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| Basic machine learning knowledge
| Basic machine learning knowledge
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Social Media Comments Network
| In this topic, you will study methods to crawl the dataset from social networks and utilizing social science network analysis in any topic you are interested in (science/education/politics…) to find out the network structure and compare the difference among different topics.
| Basic programming knowledge
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| No
|-
|-
| Analysis of MOOC Discussion Forum
| In this topic you will study methods to crawl the dataset from MOOCs and evaluate if the active users have more influence on overall forum activities and the evaluation of the course.
| Basic programming knowledge
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| No
|-
|-
| Open topics
| Topics regarding to computer science
|
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
|
| Yes
| Yes
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* Give a short outlook on potential future developments.
* Give a short outlook on potential future developments.


The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding bibliography, etc.).
The report must be written in English according to common guidelines for scientific papers, between 6 and 8 pages of content (excluding bibliography, etc.).
Please note that you can not directly copy content from papers or webpages, as this will be considered plagiarism. All quoted images and tables need to indicate their source.
Please note that you can not directly copy content from papers or webpages, as this will be considered plagiarism. All quoted images and tables need to indicate their source.


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