PSC 106
— Network Analysis of Psychological Data
Fundamental principles of Graph Theory and applications of Network Analysis to psychological data. Community detection, network control, and modeling of cascading failures.
Prerequisites & course information
Course Description: Fundamental principles of Graph Theory and applications of Network Analysis to psychological data. Community detection, network control, and modeling of cascading failures. Learning Activities: Lecture 3 hour(s), Term Paper. Enrollment Restriction(s): Pass One restricted to Psychology majors. Grade Mode: Letter. General Education: Quantitative Literacy (QL). Learning Activities: Lecture 3 hour(s), Term Paper. Enrollment Restriction(s): Pass One restricted to Psychology majors. Grade Mode: Letter. General Education: Quantitative Literacy (QL).
Sources
- Course catalogue ↗2026-2027