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Faculty of Arts & Science · St. George

CSC412H1

Probabilistic Learning and Reasoning

Prerequisite2 routes by faculty
Total contact hours24 lecture · 12 tutorial
Evidence1 term · 1 papers

What was the average?

B+

3.3 GPA across 1 observed term. Most recent: Winter 2022.

How is it graded?

Not yet verified

No syllabus we can lawfully use has been verified for this course.

How confident is this?

Low

A small number of terms, so read it as a range. The most recent observation is several years old.

From the calendar

Official source · Faculty of Arts & Science

An introduction to probability as a means of representing and reasoning with uncertain knowledge. Qualitative and quantitative specification of probability distributions using probabilistic graphical models. Algorithms for inference and probabilistic reasoning with graphical models. Statistical approaches and algorithms for learning probability models from empirical data. Applications of these models in artificial intelligence and machine learning.

Exclusions
STA414H1STAD68H3
Contact hours
24 lecture · 12 tutorial
Total scheduled hours for the course, not per week.

If you are a Faculty of Arts & Science student

Any one of these

CSC311H1, STA314H1, CSCC11H3, or CSC311H5

If you are a Faculty of Applied Science and Engineering student

Any one of these

ECE421H1, or ROB313H1

These are alternative routes, not a combined list. Satisfying one of them is enough — the calendar states a different prerequisite depending on which faculty you are registered in.

What people actually got

Last observed Winter 2022
B+

3.3 GPA

1 term observed

n = 1student contributedSt. George offerings only

This is a student-contributed aggregate, not an official University of Toronto record. It is also not a measure of how hard the course is — a course average moves with who enrols in it, not only with the material.

The newest observation is from Winter 2022. Instructors, weighting and exam format may all have changed since — treat this as history, not a forecast.

This rests on 1 reported term. It is shown because hiding it would not make it less true, but one or two results are a datapoint, not a distribution — a single unusual cohort moves this number a long way.

How well we know this course

2024–2024

Pyko’s archive holds 8 documents for CSC412H1, across 1 year between 2024 and 2024.

1
Final exams
2
Solution sets
4
Tutorial material
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, which matters most where no syllabus has been verified.

What we don’t have yet

Assessment weightingNo syllabus we can lawfully use has been verified for this offering. Contribute yours and the breakdown appears here.
A current averageThe newest verified observation is from Winter 2022. Later terms have no confirmed result yet.
Per-term breakdownHeld back deliberately. Splitting 1 observations across terms would be false precision.
Instructor-level detailAverages are not split by instructor. At these sample sizes the difference between sections is noise, not signal.

Source ledger

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Sources behind every claim on this page
ClaimSourceCapturedStatus
Course description, prerequisites, exclusions, contact hoursFaculty of Arts & Science2026-07-25public fact
Historical average across 1 termStudent contributions, consented2026-07-25user contributed aggregate
8 archived documents, 2024-2024Pyko archive2026-07-25index 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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CSC412H1 average & past exams — UofT | Pyko