Topics in Social Computing

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Extra Credit Assignments

2011-12 Term 1

Lecture I Lecture II Tutorial I Tutorial II
Time TBA TBA TBA TBA
Venue TBA TBA TBA TBA

The Golden Rule of XXXX: No member of the XXXX community shall take unfair advantage of any other member of the XXXX community.

Course Description

This course introduces fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviours on the Internet. The emphasis of the course is on data mining and knowledge discovery of social interactions, signals and data that are the byproduct of social media services such as search engines, social network sites, blogs, micro-blogs, wikis, etc. The course topics include, but are not limited to: web data mining, knowledge discovery on the web, web analytics, web information retrieval, ranking algorithms, recommender systems, human computation, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to social computing, etc.