Faculty of Applied Science & Engineering · St. George

MAT185H1

Linear Algebra

Credit0.50

PrerequisiteESC103H1

Total contact hours36.6 lecture · 12.2 tutorial

Evidence2 terms

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What was the average?

B-

2.7 GPA across 2 observed terms. Most recent: Winter 2026.

How is it graded?

Not yet verified

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

How confident is this?

Med

A small number of terms, so read it as a range.

From the calendar

Official source · Faculty of Applied Science & Engineering

Topics include: include: linear systems, matrix algebra, Rn as a vector space, a normed space and an inner-product space, linear transformations on Rn, eigenvalues, applications to circuits, mechanics and an introduction to computer methods.

Prerequisite: ESC103H1
Exclusions: MAT188H1
Contact hours: 36.6 lecture · 12.2 tutorial; Total scheduled hours for the course, not per week.

What people actually got

Last observed Winter 2026

B-

2.7 GPA

2 terms observed

n = 2student 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.

This rests on 2 reported terms. 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.

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.

Per-term breakdownHeld back deliberately. Splitting 2 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.

Archive coveragePyko holds no past paper for this course. We do not host or distribute course files in any case; the archive is what lets these pages describe how a course is assessed.

Source ledger

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Sources behind every claim on this page
Claim	Source	Captured	Status
Course description, prerequisites, exclusions, contact hours	Faculty of Applied Science & Engineering	2026-07-25	public fact
Historical average across 2 terms	Student contributions, consented	2026-07-25	user contributed aggregate

Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.

What this opens up

22 courses list MAT185H1 as a prerequisite

APS360H1Applied Fundamentals of Deep Learning CSC310H1Information Theory CSC311H1Introduction to Machine Learning CSC317H1Computer Graphics CSC320H1Introduction to Visual Computing CSC413H1Neural Networks and Deep Learning MAT301H1Groups and Symmetries MAT336H1Elements of Analysis MAT363H1Geometry of Curves and Surfaces MIE262H1Deterministic Operations Research MIE263H1Stochastic Operations Research

The other 11 have no page yet. Listing a course here means it names MAT185H1 among its prerequisites — often as one of several ways to satisfy the same requirement, so this is what MAT185H1 makes available, not what it alone guarantees.

Around this course

ESC103H1Required before this course MAT188H1Cannot be taken with this course

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