ENGR-E 536 HIGH PERFORMANCE GRAPH ANALYTICS (3 CR.)
This course covers theoretical and practical concepts in graph analytics, with applications to social networks, computational biology, machine learning and scientific computing. It will demonstrate graph algorithms by analyzing large-scale social and biological networks using high-performance graph analytics frameworks. Design principles for efficient graph algorithms will be discussed.
1 classes found
Spring 2025
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 10076 | Open | 3:55 p.m.–5:10 p.m. | MW | GA 1112 | Ponniah J |
Regular Academic Session / In Person
LEC 10076: Total Seats: 58 / Available: 52 / Waitlisted: 0
Lecture (LEC)
- Above class meets with ENGR-E 399
- Above class was cancelled