演讲人:

讲座时间: 2010年10月13日-2010年10月20日

讲座地点:

讲座内容:

中国人民大学

归国留学人员讲学课程

课程名：社会计算

开课时间：2010年10月13日-2010年10月20日

讲课对象：教师，研究生和高年级本科生

听课方式：选修课（研究生可作为2学分的选修课）或自由听课；

选课方式：需要听课的同学，请邮件联系余力（buaayuli@ruc.edu.cn）, 并注明是作为选修课还是自由听课。

课程概要：

This course introduces fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviours on the Internet. The course topics include, but are not limited to: web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval, learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems, human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to web intelligence and social computing, etc.

课堂教学用语：

英文+中文。

课程具体安排如下：

时间

授课内容

课时

地点

10月13日2:00-5:00

Introduction and Overview of Social Computing

4节

逸夫会议中心第二会议室

10月15日2:00-3:30

The Era of Social Computing

2节

逸夫会议中心第一报告厅

10月17日8:30-11:30

Social Network Theory

4节

理工配楼二层会议室

10月17日2:00-5:00

Graph Mining/Link Analysis

4节

理工配楼二层会议室

10月18日8:30-11:30

Recommender Systems

4节

理工配楼二层会议室

10月18日2:00-5:00

交流讨论

3节

理工配楼二层会议室

10月19日8:30-11:30

社会计算与人文社会科学研讨

4节

逸夫会议中心第二会议室(暂定)

10月20日8:30-11:30

Human Computation/Crowdsourcing

4节

理工配楼二层会议室

10月20日2:00-5:00

交流讨论

3节

理工配楼二层会议室

如有变动,将及时通知,快开课时,请大家留意学院网站通知!

主讲教师：

Irwin King is with the Chinese University of Hong Kong. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles. His research interests include machine learning, web intelligence & social computing, and multimedia processing. In these research areas, he has over 200 technical publications in journals and conferences. In addition, he has contributed over 20 book chapters/edited volumes and has over 30 research and applied grants. He is an Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is also on the editorial board of several journals and book projects. He is a member of the Board of Governors, INNS and also a Vice-President and Governing Board Member of APNNA.

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