STAT 413 - Computing for Data Science

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

Faculty of Science

Survey of contemporary languages/environments suitable for algorithms of Statistics and Data Science. Introduction to Monte Carlo methods, random number generation and numerical integration in statistical context and optimization for both smooth and constrained alternatives, tailored to specific applications in statistics and machine learning. Prerequisites: One of STAT 265 or MATH 281, or consent of the Department.

No syllabi

Winter Term 2025

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE Q1
(70140)
60
2025-01-06 - 2025-04-09 (MWF)
10:00 - 10:50