Simon Fraser University
Engaging the World

Course Outlines

Fall 2026 - CMPT 410 D100

Machine Learning (3)

Class Number: 4890

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 9 – Dec 7, 2026: Wed, 3:30–4:20 p.m.
    Burnaby

    Sep 9 – Dec 7, 2026: Fri, 2:30–4:20 p.m.
    Burnaby

  • Instructor:

    Mo Chen
    1 778 782-7198

  • Prerequisites:

    CMPT 310 and MACM 316, both with a minimum grade of C-.

Description

CALENDAR DESCRIPTION:

Machine Learning (ML) is the study of computer algorithms that improve automatically through experience. This course introduces students to the theory and practice of machine learning, and covers mathematical foundations, models such as (generalized) linear models, kernel methods and neural networks, loss functions for classification and regression, and optimization methods. Students with credit for CMPT 419 under the title "Machine Learning" may not take this course for further credit.

Department Undergraduate Notes:

The following are default policies in the School of Computing Science. Please check your course syllabus whether the instructor has chosen a different policy for your class, otherwise the following policies apply.
 
  • Students must attain an overall passing grade on the weighted average of exams in the course in order to get a C- or higher.
  • All student requests for accommodations for their religious practices must be made in writing by the end of the first week of classes, or no later than one week after a student adds a course. After considering a request, an instructor may provide a concession or may decline to do so. Students requiring accommodations as a result of a disability can contact the Centre for Accessible Learning (caladmin@sfu.ca).

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.

To learn more about the academic disciplinary process and relevant academic supports, visit: 


RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.