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Modulbeschreibung - COIN Seminar

Nummer
cose
ECTS 6.0
Level advanced
Overview The emergence of online social networks opens up unprecedented opportunities to read the collective mind, discovering emergent trends while they are still being hatched by small groups of creative individuals. Using concepts from psychology and sociology you will get the opportunity to lead and work in a wide range of projects doing analysis of large corpora of digital traces of human activity.

The Web has become a mirror of the real world, allowing to study and better understand why some new ideas change our lives, while others never make it from the drawing board of the innovator. The aim of this course is to track the emergence of new ideas through social network analysis. Using concepts from sociology and psychology we will predict what people will be doing next, by analyzing their social interactions on three levels: (1) global – Internet/ blogs/Twitter/Facebook/Wikipedia, (2) organizational – e-mail/phone/chat, and (3) individual – body signals. We will measure "honest signals" of communication through tweets, bloglinks, Wikipedia entries, e-mail, chat, and phone archives, and body signals captured through cameras and other sensors. The COIN seminar is a demanding course combining skills from many interdisciplinary fields:

  • Social network analysis
  • Using and building software tools for analyzing online social networks
  • Selected statistical methods for data mining and data filtering
  • Concept visualization and information modeling

The COIN seminar is run in cooperation with other universities.
Learning obbjectives
  • Students will learn to work and cooperate in virtual international teams.
  • Students will learn to analyze and visualize chosen topics with the help of an appropriate software tool.
  • On the global level students will learn to correlate Web sentiment with macroeconomic indicators, and Blog buzz with the outcome of political elections.
  • On the organizational level students will learn to compare performance metrics such as revenue, productivity, peer ratings, and customer satisfaction with e-mail network metrics in a variety of settings.
  • On the individual level students will be familiar with sociometric badges and other sensors as a powerful tool that can connect the impact of behaviors such as speech patterns with business outcomes.
Previous knowledge
  • Objektorientierte Programmierung (oopI2)
  • Algorithmen und Datenstrukturen (algd2)
  • Social Network Analysis (sna)
Exam format Continuous assessment grade
Additional information http://sites.google.com/view/coincourse2017-18/why-you-should-not-take-the-course

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