SI 301 - Models of Social Information Processing
Section: 001
Term: WN 2009
Subject: Information (SI)
Department: School of Information
Credits:
3
Other Course Info:
(non-LSA).
Repeatability:
May not be repeated for credit.
Primary Instructor:

This course focuses on how social groups form, interact, and change. We look at the technical structures of social networks and explore how individual actions are combined to produce collective effects. The techniques learned in this course can be applied to understanding friend systems like Facebook, recommender systems such as Digg, auction systems such as Ebay, and information webs used by search engines such as Google. This course introduces two conceptual models, networks and games, for how information flows and is used in multi-person settings. Network or graph representations describe the structure of connections among people and documents. They permit mathematical analysis and meaningful visualizations that highlight different roles played by different people or documents, as well as features of the collection as whole. Game representations describe, in situations of interdependence, the actions available to different people and how each person’s outcomes are contingent on the choices of other people. It permits analysis of stable sets of choices by all the people (equilibriums). It also provides a framework for analysis of the likely effects of alternative designs for markets and information elicitation mechanisms, based on their abstract game representations. Assignments in the course include problem sets exploring the mechanics of the models and essays applying them to current applications in social computing.

Prerequisite: familiarity with Python is helpful.

SI 301 - Models of Social Information Processing
Schedule Listing
001 (LEC)
P
30128
Open
19
 
-
W 9:00AM - 12:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


We will be using materials using a not-yet-published textbook written by Jon Kleinberg titled "Networks". We will distribute this through a course pack or some other means as yet to be determined.
Required
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

No Syllabi are on file for SI 301. Click the button below to search for a different syllabus (UM login required)

Search for Syllabus
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)