Social Computing2016 Fall
Subject Information Science (IFSC) 4360 Section 9W1 (CRN: 64394)
Prerequisite: 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 attachement 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 lecture hours. Three credit hours.
This class is webcast and also meets in the classroom. Students can attend remotely or in person. Class sessions are also recorded. See instructor regarding attendance for exams and presentations.
0 seats available (capacity: 6)
Credit Hours
3
Meeting times and locations
Instructors
Department
Information Science
College
Donaghey Engr & Info Tech