DATA 4734 - Network Science: Techniques and Applications

Credit(s): 3
Lecture Hour(s): 3
Tutorial Hour(s): 1

This course offers an introduction to Network Science, emphasizing the theoretical foundations and practical methodologies for modeling and analyzing complex systems. Key topics include network metrics, algorithms for topological evolution, computational techniques for structural analysis, simulation of dynamics in networks, and machine learning-driven applications for robustness assessment and graph embedding.

Prerequisite(s): MATH 2234; and one of MATH 1271 or MATH 2071, and one of COMP 2631 or DATA 2402, all with a minimum grade of C-.