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COMP551 - Applied Machine Learning

Available Universities

University of British Columbia Course Map - UBC
Western University Course Map - Western
University of Ottawa Course Map - uOttawa
University of Toronto Course Map - UofT
McGill University Course Map - McGill
University of Calgary Course Map - Calgary
University of Waterloo Course Map - Waterloo
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Course: COMP551 (Applied Machine Learning) in COMP department at McGill University.

Credit Hours: 4 • Academic Level: year 5 undergraduate course

Course Requirements: Requires 5 prerequisite courses

Prerequisite Chain Depth: 4 levels of foundational courses required

Future Opportunities: Unlocks 7 advanced courses for further study

Interdisciplinary Requirements: Prerequisites span 3 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 COMP551

MATH323
ECSE205
COMP202
MATH133
MATH222

Courses unlocked by COMP551

COMP562 - Theory of Machine Learning
COMP565 - Machine Learning in Genomics and Healthcare
COMP579 - Reinforcement Learning
COMP654 - Graph Representation Learning
ECSE552 - Deep Learning
LING545 - Computational Semantics with Neural Networks
MATH562 - Theory of Machine Learning

Academic Planning at McGill University

Students planning COMP551 at McGill University should complete 5 prerequisites before enrollment.

Course Sequence: This course requires a 4-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

Future Pathways: Completing COMP551 enables enrollment in 7 advanced courses for further study

This year 5 course at McGill University integrates into structured degree pathways for COMP programs, supporting timely graduation and academic progression.