STAT 513 - Statistical Computing

3 units (fi 6)(EITHER, 3-0-0)

Faculty of Science

Introduction to contemporary computational culture: reproducible coding, literate programming. Monte Carlo methods: random number generation, variance reduction, numerical integration, statistical simulations. Optimization (linear search, gradient descent, Newton-Raphson, method of scoring, and their specifics in the statistical context), EM algorithm. Fundamentals of convex optimization with constraints. Prerequisites: consent of the instructor.

No syllabi

Winter Term 2025

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE Q1
(78739)
45
2025-01-06 - 2025-04-09 (MWF)
12:00 - 12:50

Winter Term 2026

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE Q1
(87117)
40
2026-01-05 - 2026-04-10 (MWF)
12:00 - 12:50