University of Toronto Mississauga
STA360H5
Introduction to Bayesian Statistics
What was the average?
Not reported
No student has contributed a result for this offering yet.
How is it graded?
4 components
From the 2025 syllabus. 4 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 MississaugaA thorough introduction to statistics from a Bayesian perspective. Methods covered will include: the rules of probability, including joint, marginal, and conditional probability; discrete and continuous random variables; discrete and continuous random variables; Bayesian inferences for means and proportions; the simple linear regression model analyzed in a Bayesian manner; and (time permitting) a brief introduction to numerical methods such as the Gibbs sampler. Throughout the course, R will be used as software, a brief introduction will be given in the beginning.
- Exclusions
- STA313H5STA365H1
- Contact hours
- 36 lecture · 12 tutorial
- Total scheduled hours for the course, not per week.
Where the marks come from
2025 syllabusExtracted from a published 2025 syllabus by deterministic parser. Components that could not be labelled are shown unresolved rather than folded into a neighbouring category.
How well we know this course
2022–2025Pyko’s archive holds 2 documents for STA360H5, across 2 years between 2022 and 2025.
- 1
- Final exams
- 1
- Syllabi
Counts, not a library. Pyko does not host or distribute course files, and this page is not an offer to supply one — the archive is what lets these pages describe how a course is assessed.
What we don’t have yet
Source ledger
Report an error →| Claim | Source | Captured | Status |
|---|---|---|---|
| Course description, prerequisites, exclusions, contact hours | University of Toronto Mississauga | 2026-07-25 | public fact |
| Assessment weighting | Course syllabus, 2025 | 2026-07-25 | summary permitted |
| 2 archived documents, 2022-2025 | Pyko archive | 2026-07-25 | index only |
Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.
Around this course
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