CS 4520 001 Graph Data Analytics

Lecture. (Formerly Social Network Analysis) Students will learn how to analyze available graph-structured data and how to visualize the data. The class will look at the structure of networks (graphs) and how to predict network evolution.  Students will learn basic algorithms from graph theory and how to apply them to network analysis. Students will practice applying the knowledge gained to analyze different types of networks, e.g., biological networks. Prerequisite(s): CS 3100. Recommended: CS 4480, or either MATH 1600 or MATH 1620, or equivalent. (Lecture, 2 hours; activity, 1 hour)

Updated1 Course Id Units Day Time Room Location Instructor Additional
Course Fees		 Availability2
3/26/2026 1:01 PM CS 4520 001 3 MWF
 12:00P - 12:50P
 DBH 165
 TURLOCK Hatem, Ayat
 $0.00 14
1Date/Time indicates when this event was reported to the feed, the actual event may have occurred earlier.
2Availability was last reported on 8/9/2026 6:01 PM. Actual availability may differ.

Course Notes
Student must also enroll in CS 4520-002 (ACT) concurrently.   Hybrid Online - Synchronous. In-person class meetings will be on campus at the room, day, and time listed. Online class meetings will be at the day and time listed.