University of Toronto Mississauga
CSC211H5
Applied Artificial Intelligence Fundamentals
What was the average?
Not reported
No student has contributed a result for this offering yet.
How is it graded?
40% final
From the Fall 2026 syllabus. 14 graded components.
How confident is this?
Unknown
A small number of terms, so read it as a range.
From the calendar
Official source · University of Toronto MississaugaAn applied introduction to artificial intelligence and deep learning. Students learn to apply supervised deep learning models, evaluate performance, and address societal impacts, ethics, and safety using machine learning frameworks.
- Prerequisite
- None listed
Where the marks come from
Fall 2026 syllabus40% of the grade is decided in the final alone. Steady coursework cannot carry this course on its own.
Extracted from a published Fall 2026 syllabus — verified against the university's own document. Components that could not be labelled are shown unresolved rather than folded into a neighbouring category.
- lowest 2 lab(s) dropped
- must score >= 40% on the final_exam to pass
What we don’t have yet
Source ledger
Report an error →| Claim | Source | Captured | Status |
|---|---|---|---|
| Grading structure, description and credit weight from the official Fall 2026 syllabus (instructor: L. Zhang) | Official Fall 2026 course syllabus (University of Toronto Mississauga) | 2026-09-05 | official syllabus |
Page last verified 2026-09-05. A claim whose source moves is withdrawn before it goes stale.
Everything above is history. Yours isn’t written yet.
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