STAT-S 610 INTRODUCTION TO STATISTICAL COMPUTING (3 CR.)
Introduction to R from a software engineering perspective and an introduction to algorithms commonly used in applied statistics. Optimization algorithms including gradient descent, stochastic gradient descent, the EM algorithm, and topics in convex optimization. Stochastic algorithms including rejection sampling, Metropolis-Hastings, and Gibbs sampling.
1 classes found
Fall 2025
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 9105 | Open | 2:20 p.m.–3:35 p.m. 2:20 p.m.–3:35 p.m. |
F TR |
SW 220 BH 307 |
Fukuyama J |
Regular Academic Session / In Person
LEC 9105: Total Seats: 30 / Available: 24 / Waitlisted: 0
Lecture (LEC)
- S 610 : P - STAT-s 520 or consent of instructor