DESCRIPTION:

This course focuses on how social groups form and evolve, how members of these groups interact with each other, and how these groups are supported and augmented with computer systems. The course is interdisciplinary, drawing from the fields of computer science, psychology, and sociology. It covers key theories and technologies of social computing in terms of (1) computer systems supporting social behavior and (2) socially intelligent computing carried out by groups. Students will have a chance to explore social computing systems, get experience with social data analyses and focus on design, and evaluation of a social software as their final project for the course.

PREREQUISITES:

This course does not assume any particular prerequisites. However, this is a graduate course which assumes critical thinking, desire to learn and being challenged with new topics, and hard work.

TEXT:

We will be reading excerpts from a large number of books and articles. Links to electronic copies are provided.

GRADING:

OFFICE HOUR:

Thursday 1:00-2:00 pm, or by appointment, 709 Information Science Building (135 North Bellefield Avenue)

TOPICS TO BE COVERED:

Readings: