Probabilistic Graphical Models
McGill University · QC · COMP588
Probabilistic Graphical Models is a subject at McGill University, QC in COMP. It covers topics like probability, risk-modelling, statistical-learning, stochastic-processes. It is part of 7 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
COMP588
3.00
COMP
Topics covered
Degrees that include Probabilistic Graphical Models
- Applied Artificial Intelligence Minor (B.Eng.) (25 credits)
- Computer Engineering (B.Eng.) (133 credits)
- Computer Science (Thesis) (M.Sc.) (45 credits)
- Co-op in Software Engineering (B.Eng.) (141 credits)
- Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)
- Statistics Honours (B.A.) (63 credits)
- Statistics Honours (B.Sc.) (63 credits)
Frequently asked questions
What is Probabilistic Graphical Models about?
Probabilistic Graphical Models covers topics like probability, risk-modelling, statistical-learning, stochastic-processes.
Which degrees include Probabilistic Graphical Models?
Probabilistic Graphical Models is part of 7 degrees, including Applied Artificial Intelligence Minor (B.Eng.) (25 credits), Computer Engineering (B.Eng.) (133 credits), Computer Science (Thesis) (M.Sc.) (45 credits), Co-op in Software Engineering (B.Eng.) (141 credits), Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits).
How many credit points is Probabilistic Graphical Models?
Probabilistic Graphical Models at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Probabilistic Graphical Models taught?
Probabilistic Graphical Models is taught at McGill University, QC.
Studying Probabilistic Graphical Models?
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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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