Id: 042308 Credits Min: 3 Credits Max: 3

Description

This course focuses on the background, design, implementation and analysis of social computing systems. The specific focus of the course will be on computational models applied to user-generated content, including online reviews, web forums discussions, and other textual content in social media platforms, such as Twitter and Reddit. Tools and techniques for crawling, pre-processing and pos-processing user-generated content will be introduced through interactive and hands-on tutorial sessions. In addition, the course will cove prominent applications and research finding in social computing. At the end of this course, students should have a good understanding of the background, design, analysis and implementation of social computing systems; as well as hands-on experience on a range of tasks from crawling and processing user-generated content to extracting actionable insights from such content. Guest lectures by distinguished researchers and course projects will emphasize the subtleties of translating computational models into practical applications in social computing. The course is open to undergraduate students (for their elective course requirement) as well as graduate students.

Prerequisites

COMP.4220 Machine Learning, and COMP.1020 Computing II, or Permission of Instructor.

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