Computer Science Topics
Session
Regular Academic Session
Class Number
6296
Career
Graduate
Units
3 units
Grading
Graded
Topic
Network Science
Description
This course is used to introduce emerging topics in computer science that do not yet have a regular course number. Content of the course varies.

Outcomes: Understanding of an emerging area of Computer Science.
Class Notes
Synchronous Class Meeting: Instruction will be delivered online synchronously following the days/times indicated on the schedule. Course Description: Network science serves as a unifying framework to study intricate interconnected systems, encompassing living organisms, societies, power grids, and various techno-social systems. This course delves into the fundamental concepts and key applications of network science. Topics covered include the statistical properties and models of real-world networks, centrality measures, spreading phenomena, and community detection (clustering). Course Pre-requisites: COMP 488-003: (COMP 406 OR COMP 479 OR COMP 429) OR ((COMP 400E) AND (COMP 400B or COMP 400C)) Topic Network Science
Class Actions
Class Details
Instructor(s)
Satyaki Sikdar
Meets
Mo 5:30PM - 8:00PM
Dates
01/13/2025 - 04/26/2025
Room
Online
Instruction Mode
Online
Campus
Online Campus
Location
Online Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
16
Seats Open
19
Combined Section Capacity
35
Wait List Total
0
Wait List Capacity
0
Combined Section
Topics:
COMP 388 - 003 (6295)
Status: Open - Enrl
Seats Taken: 7
Wait List Total: 0
Top:
COMP 488 - 003 (6296)
Status: Open - Enrl
Seats Taken: 9
Wait List Total: 0