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Social Computing2018 Spring

Subject Information Science (IFSC) 5360 Section 9W1 (CRN: 14793)

Prerequisites: IFSC 1310 and IFSC 2300, or equivalent, or consent of Instructor. A hands-on course focusing on concepts of the social and information networks, Web as graph, models (such as Power law distribution, scale-free models, preferential attachment models, etc.) that simulate behavioral characteristics of these graphs, basic graph theoretical concepts, characteristics of social media and Web 2.0 or the Social Web (such as blogs, microblogging, social friendship networks, social bookmarking, social news, social media sharing, wikis, etc.), understanding and developing API and mashups, issues and challenges in data crawling and web analytics, network data visualization, exposure to information extraction and retrieval concepts aiming at the highly dynamic and noisy nature of social media, harnessing the collective and web intelligence, and basic concepts of cloud computing. Three hours lecture. Three credit hours.
This class is webcast live. Students can attend in person or remotely. Class sessions are also recorded. Some class sessions will require students to attend live, either in person or via web. For a more traditional classroom experience, students are encouraged to attend in person.
9 seats available (capacity: 15)
Credit Hours
3

Meeting times and locations

  • Tuesday 6:00pm - 8:40pm Engineering & Information Tech 218(Lecture)
    January 16th to May 8th, 2018 (16 weeks)

Instructors

Department

Information Science

College

Donaghey Engr & Info Tech
Cross Listing
This class is also offered as the following cross-listed sections:
  • IFSC 4360 9W1 (CRN: 14792)
  • IFSC 5360 01 (CRN: 14876)
  • IFSC 4360 01 (CRN: 14875)
View all Cross-Listed Sections
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