Instructor: Prof. Ben Bolker
Email: bolker@math.mcmaster.ca

Course Dates: January 9th - April 12th, 2023
Mid-Semester Break: February 20th - 24th, 2023
Lecture Times: Monday 3:30 - 5:30 PM | Wednesday 9:30 - 10:30 AM (ET)
Office Hours: TBA

Registration Fee: PSU Students - Free | Other Students - $500 CAD

Prerequisites: While there are no formal prerequisites, to succeed in this course you will need to be comfortable with (1) multivariable calculus; (2) linear algebra (focusing on numerical computation, e.g. at the level of MATH 3NA3); (3) basics of linear regression (e.g. at the level of STATS 3A03); (4) Some programming language; R is recommended, but knowledge of Python/Matlab/Java should be transferable; (5) basic knowledge of data science methods (e.g. lasso/ridge regression, random forests, boosting), at the level of STATS/CSE 780 (recommended).

Evaluation: Assignments TBA

Capacity Limit: 35 students

Format: Hybrid - In Person at McMaster University | Remote via Zoom

Course Description

Please view the complete course description here: https://bbolker.github.io/stat790/