Natural Language Processing
McGill University · QC · COMP550
Natural Language Processing is a subject at McGill University, QC in COMP. It covers topics like computational-linguistics, deep-learning, machine-learning, natural-language-processing. It is part of 9 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
COMP550
3.00
COMP
Topics covered
Degrees that include Natural Language Processing
- Applied Artificial Intelligence Minor (B.Eng.) (25 credits)
- Clinical and Translational Research (Thesis): Digital Health Innovation (M.Sc.) (45 credits)
- Cognitive Science Honours (B.A. & Sc.) (60 credits)
- Cognitive Science Interfaculty Program (B.A. & Sc.) (54 credits)
- Computer Engineering (B.Eng.) (133 credits)
- Computer Science - Artificial Intelligence Major (B.Sc.) (63 credits)
- Computer Science (Thesis) (M.Sc.) (45 credits)
- Co-op in Software Engineering (B.Eng.) (141 credits)
- Electrical Engineering Honours (B.Eng.) (138 credits)
Frequently asked questions
What is Natural Language Processing about?
Natural Language Processing covers topics like computational-linguistics, deep-learning, machine-learning, natural-language-processing.
Which degrees include Natural Language Processing?
Natural Language Processing is part of 9 degrees, including Applied Artificial Intelligence Minor (B.Eng.) (25 credits), Clinical and Translational Research (Thesis): Digital Health Innovation (M.Sc.) (45 credits), Cognitive Science Honours (B.A. & Sc.) (60 credits), Cognitive Science Interfaculty Program (B.A. & Sc.) (54 credits), Computer Engineering (B.Eng.) (133 credits).
How many credit points is Natural Language Processing?
Natural Language Processing at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Natural Language Processing taught?
Natural Language Processing is taught at McGill University, QC.
Studying Natural Language Processing?
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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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