SI 301 - Models of Social Information Processing
Section: 001
Term: FA 2019
Subject: Information (SI)
Department: School of Information
Credits:
4
Enforced Prerequisites:
SEE BULLETIN - SI 301
Advisory Prerequisites:
EECS 280.
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. This course introduces two conceptual models for how information flows is used in multi-person settings -- networks and games. Networks describe the structure of connections among people or 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 a whole. Games describe the actions available to different people and how each person’s outcomes are contingent on the choices of others. They permit analysis of stable sets of choices by all players (equilibrium) and provide a framework for the analysis of the theoretical effects of alternative designs for markets and information elicitation mechanisms. The techniques learned in this course can provide a high level understanding of systems like Facebook, recommender systems used in sites such as Netflix, auction systems such as Ebay, and information networks used by search engines such as Google.

SI 301 - Models of Social Information Processing
Schedule Listing
001 (LEC)
 
23066
Open
25
 
4
MW 1:00PM - 2:30PM
002 (DIS)
P
32647
Closed
0
 
4
Th 5:30PM - 6:30PM
003 (DIS)
P
36316
Open
17
 
-
W 3:00PM - 4:00PM
004 (DIS)
P
27992
Open
4
 
-
F 2:00PM - 3:00PM
005 (DIS)
P
24371
Open
4
 
-
F 1:00PM - 2:00PM
Note: It is likely this section will not be available for registration. Apologies for the inconvenience. UMSI Registrar Team
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