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University of Toronto Mississauga

MAT406H5

Mathematical Introduction to Game Theory

Credit0.50
Prerequisite1 requirement, 1 options
Total contact hours36 lecture · 12 tutorial
Evidence1 term · 1 syllabus · 1 papers
Add MAT406H5 to Pyko

MAT406H5

What do I need?

These are the weights from the syllabus we have. Yours might be a bit different depending on your term and instructor, so feel free to change anything that doesn't match.

AssessmentGrade %Weight %
%

You need 80.0% across the remaining 100% to finish at 80%.

What was the average?

C+

2.3 GPA across 1 observed term. Most recent: Winter 2026.

How is it graded?

55% final

From the 2025 syllabus. 4 graded components.

How confident is this?

Low

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

From the calendar

Official source · University of Toronto Mississauga

Combinatorial games: Nim and other impartial games; Sprague-Grundy value; existence of a winning strategy in partisan games. Two-player (matrix) games: zero-sum games and Von-Neuman's minimax theorem; general sum-matrix games, prisoner's dilemma, Nash equilibrium, cooperative games, asymmetric information. Multi-player games: coalitions and the Shapley value. Possible additional topics: repeated (stochastic) games; auctions; voting schemes and Arrow's paradox. Mathematical tools that may be introduced include hyperplane separation of convex sets and Brouwer's fixed point theorem. Numerous examples will be analyzed in depth, to offer insight to the mathematical theory and its relation with real life situations.

Exclusions
ECO316H1MATD50H3
Contact hours
36 lecture · 12 tutorial
Total scheduled hours for the course, not per week.

Any one of these

MAT102H5 and MAT223H5 and MAT240H5 and STA246H5 and STA256H5

What people actually got

Last observed Winter 2026
C+

2.3 GPA

1 term observed

n = 1student contributedMississauga 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 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.

Where the marks come from

2025 syllabus
Final Exam · 55%Term Test 1 · 15%Term Test 2 · 15%Homework · 15%

55% of the grade is decided in the final alone. Steady coursework cannot carry this course on its own.

Extracted 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

2018–2025

Pyko’s archive holds 10 documents for MAT406H5, across 3 years between 2018 and 2025.

1
Final exams
8
Assignments
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

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

Report an error →
Sources behind every claim on this page
ClaimSourceCapturedStatus
Course description, prerequisites, exclusions, contact hoursUniversity of Toronto Mississauga2026-07-25public fact
Historical average across 1 termStudent contributions, consented2026-07-25user contributed aggregate
Assessment weightingCourse syllabus, 20252026-07-25summary permitted
10 archived documents, 2018-2025Pyko archive2026-07-25index only

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

Around this course

You’ve read the average. Now use it.

Add MAT406H5 and the 2025 weighting loads with it — Pyko tracks what you've earned and solves for what the final has to be.

Pyko is an independent student platform. It is not affiliated with, endorsed by, or operated by the University of Toronto. Course names and codes are used descriptively to identify courses.

MAT406H5 average & grade breakdown — UofT | Pyko