Simon Fraser University
Engaging the World

Course Outlines

Spring 2025 - MSE 413 D100

Machine Learning in Mechatronics (3)

Class Number: 6819

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 6 – Apr 9, 2025: Tue, 12:30–2:20 p.m.
    Surrey

    Jan 6 – Apr 9, 2025: Fri, 12:30–1:20 p.m.
    Surrey

  • Prerequisites:

    Minimum 80 units and MSE 352.

Description

CALENDAR DESCRIPTION:

An introduction to machine learning (ML) packages in Python. An introduction to the development and implementation of ML algorithms in mechatronic systems (MS). It covers a wide variety of ML techniques including supervised, unsupervised and reinforcement learning algorithms. Students learn to develop and implement ML algorithms in embedded systems, also how to evaluate developed models. Students who have taken CMPT 726 first may not then take this course for further credit. Students with credit for CMPT 419 under the title "Machine Learning" may not take this course for further credit.

COURSE DETAILS:

Course Description:

The development and implementation of ML algorithms in mechatronic systems using ML packages in Python are discussed. The course encompasses a wide range of well-established ML techniques, including supervised, unsupervised, and reinforcement learning algorithms. Emphasizing practical applications, students will acquire the skills to develop assessment techniques for comparing algorithm performance. Furthermore, they will gain hands-on experience in deploying ML algorithms in embedded systems, enabling them to effectively integrate machine learning into real-world mechatronic applications.

Grading

  • 4 Lab Assignments 40%, 10% each 40%
  • Course Project 30%
  • Midterm Exam 1 15%
  • Midterm Exam 2 15%

NOTES:

The grading scheme is tentative. The instructor reserves the right to change the scheme

Materials

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html

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.