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COMP451 - Fundamentals of Machine Learning

Available Universities

University of British Columbia Course Map - UBC
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Course: COMP451 (Fundamentals of Machine Learning) in COMP department at McGill University.

Credit Hours: 3 • Academic Level: fourth-year undergraduate course

Course Requirements: Requires 4 prerequisite courses

Prerequisite Chain Depth: 3 levels of foundational courses required

Future Opportunities: Unlocks 5 advanced courses for further study

Interdisciplinary Requirements: Prerequisites span 2 different departments

Course Type: Core pathway course - critical for degree progression

Part of the COMP curriculum at McGill University, helping students progress through degree requirements.

Prerequisites for COMP451

COMP251
MATH222
MATH223
MATH323

Courses unlocked by COMP451

COMP562 - Theory of Machine Learning
COMP565 - Machine Learning in Genomics and Healthcare
COMP579 - Reinforcement Learning
COMP654 - Graph Representation Learning
MATH562 - Theory of Machine Learning

Academic Planning at McGill University

Students planning COMP451 at McGill University should complete 4 prerequisites before enrollment.

Course Sequence: This course requires a 3-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

Future Pathways: Completing COMP451 enables enrollment in 5 advanced courses for further study

This fourth-year course at McGill University integrates into structured degree pathways for COMP programs, supporting timely graduation and academic progression.