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Course Listings » Winter 2024 » ENSF 611 - Machine Learning for Software Engineers - Winter 2024

ENSF 611 - Machine Learning for Software Engineers - Winter 2024

Covers Machine Learning, which focuses on developing machine learning applications, specifically in the engineering domain. Covers basic techniques for supervised and unsupervised learning, with the emphasis on the applied aspects of the techniques.
This course may not be repeated for credit.

Hours

  • (3-2)

Prerequisite(s)

  • Admission to the MEng with specialization in Software Engineering and completion of Software Engineering for Engineers 692, 693 and 694; or admission to the MEng with specialization in Software Engineering, foundation courses exempt cohort.

Antirequisite(s)

  • Credit for Software Engineering for Engineers 611 and either 519.47 (Applied Data Science) or 619.25 (Machine Learning for ENSF) will not be allowed.

Sections

  • LEC 1MF 15:30 - 16:45
    LAB 1T 14:00 - 15:50
This course will be offered next in Fall 2024.
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