Deep Learning
McGill University · QC · ECSE552
Deep Learning is a subject at McGill University, QC in ECSE. It covers topics like deep-learning, digital-learning, machine-learning, neural-networks. It is part of 8 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
ECSE552
3.00
ECSE
Topics covered
Degrees that include Deep Learning
- Applied Artificial Intelligence Minor (B.Eng.) (25 credits)
- Computer Engineering (B.Eng.) (133 credits)
- Computer Science - Artificial Intelligence Major (B.Sc.) (63 credits)
- Computer Science (Non-Thesis) (M.Sc.) (45 credits)
- Co-op in Software Engineering (B.Eng.) (141 credits)
- Electrical Engineering (B.Eng.) (134 credits)
- Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)
- Global Engineering (B.G.E.) (127 credits)
Frequently asked questions
What is Deep Learning about?
Deep Learning covers topics like deep-learning, digital-learning, machine-learning, neural-networks.
Which degrees include Deep Learning?
Deep Learning is part of 8 degrees, including Applied Artificial Intelligence Minor (B.Eng.) (25 credits), Computer Engineering (B.Eng.) (133 credits), Computer Science - Artificial Intelligence Major (B.Sc.) (63 credits), Computer Science (Non-Thesis) (M.Sc.) (45 credits), Co-op in Software Engineering (B.Eng.) (141 credits).
How many credit points is Deep Learning?
Deep Learning at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Deep Learning taught?
Deep Learning is taught at McGill University, QC.
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Sources: McGill University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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