MAT240H5 - Algebra I
Course: MAT240H5 (Algebra I) in MAT department at University of Toronto.
Credit Hours: 36 • Academic Level: second-year undergraduate course
Course Requirements: Requires 3 prerequisite courses
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 44 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the MAT curriculum at University of Toronto, helping students progress through degree requirements.
Courses unlocked by MAT240H5
- MAT401H5 - Polynomial Equations and Fields
- MAT236H5 - Vector Calculus
- MAT305H5 - Elementary Lie Theory
- MAT337H5 - Introduction to Real Analysis
- MAT354H5 - Complex Analysis
- STA314H1 - Statistical Methods for Machine Learning I
- STA414H1 - Statistical Methods for Machine Learning II
- STA347H1 - Probability
- STA452H1 - Mathematical Statistics I
- MAT315H1 - Introduction to Number Theory
- MAT334H1 - Complex Variables
- MAT335H1 - Chaos, Fractals and Dynamics
- MAT336H1 - Elements of Analysis
- STA355H1 - Theory of Statistical Practice
- MAT244H5 - Differential Equations I
- MAT247H5 - Algebra II
- MAT309H1 - Introduction to Mathematical Logic
- MAT257Y5 - Analysis III
- MAT334H5 - Complex Variables
- MAT402H5 - Classical Geometries
- MAT301H5 - Groups and Symmetries
- MAT302H5 - Introduction to Algebraic Cryptography
- MAT315H5 - Introduction to Number Theory
- CSC322H5 - Introduction to Algebraic Cryptography
- MAT322H5 - Mathematical Modelling in Biology
- MAT344H5 - Introduction to Combinatorics
- MAT406H5 - Mathematical Introduction to Game Theory
- STA302H5 - Regression Analysis
- STA410H1 - Statistical Computation
- STA314H5 - Introduction to Statistical Learning
- STA348H5 - Introduction to Stochastic Processes
- CSC311H5 - Introduction to Machine Learning
- CSC338H5 - Numerical Methods
- CSC376H5 - Fundamentals of Robotics
- CSC477H5 - Introduction to Mobile Robotics
- MAT344H1 - Introduction to Combinatorics
- MAT237Y1 - Multivariable Calculus with Proofs
- MAT221H1 - Applied Linear Algebra
- MAT224H1 - Linear Algebra II
- STA302H1 - Methods of Data Analysis I
- APM236H1 - Applications of Linear Programming
- MAT246H1 - Concepts in Abstract Mathematics
- MAT247H1 - Algebra II
- MAT244H1 - Introduction to Ordinary Differential Equations
Academic Planning at University of Toronto
Students planning MAT240H5 at University of Toronto should complete 3 prerequisites before enrollment.
Future Pathways: Completing MAT240H5 enables enrollment in 44 advanced courses for further study
This second-year course at University of Toronto integrates into structured degree pathways for MAT programs, supporting timely graduation and academic progression.