2024 Summer Session D
6 weeks, July 1 - August 9
DEMOG 180 001 - LEC 001
Social Networks
Dennis M Feehan, Rae Willis-Conger, Ayesha S Mahmud
Class #:14687
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Demography
Current Enrollment
Total Open Seats:
18
Enrolled: 12
Waitlisted: 0
Capacity: 30
Waitlist Max: 10
No Reserved Seats
Hours & Workload
7.5 hours of instructor presentation of course materials per week, 22.5 hours of outside work hours per week, and 0 to 2.5 hours of the exchange of opinions or questions on course material per week.
Other classes by Dennis M Feehan
+ 1 Independent Study
Other classes by Ayesha S Mahmud
Course Catalog Description
The science of social networks focuses on measuring, modeling, and understanding the different ways that people are connected to one another. We will use a broad toolkit of theories and methods drawn from the social, natural, and mathematical sciences to learn what a social network is, to understand how to work with social network data, and to illustrate some of the ways that social networks can be useful in theory and in practice. We will see that network ideas are powerful enough to be used everywhere from UNAIDS, where network models help epidemiologists prevent the spread of HIV, to Silicon Valley, where data scientists use network ideas to build products that enable people all across the globe to connect with one another.
Class Description
The science of social networks focuses on measuring, modeling, and understanding the different ways that people are connected to one another. We will use a broad toolkit of theories and methods drawn from the social, natural, and mathematical sciences to learn what a social network is, to understand how to work with social network data, and to illustrate some of the ways that social networks can be useful in theory and in practice. We will see that network ideas are powerful enough to be used everywhere from UNAIDS, where network models help epidemiologists prevent the spread of HIV, to Silicon Valley, where data scientists use network ideas to build products that enable people all across the globe to connect with one another.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
Associated Sections
None