MAT235Y1 - Multivariable Calculus
Course: MAT235Y1 (Multivariable Calculus) in MAT department at University of Toronto.
Credit Hours: 72 • Academic Level: second-year undergraduate course
Course Requirements: Requires 9 prerequisite courses
Prerequisite Chain Depth: 3 levels of foundational courses required
Future Opportunities: Unlocks 39 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.
Prerequisites for MAT235Y1
Courses unlocked by MAT235Y1
- STA314H1 - Statistical Methods for Machine Learning I
- CSC413H1 - Neural Networks and Deep Learning
- STA414H1 - Statistical Methods for Machine Learning II
- STA347H1 - Probability
- STA452H1 - Mathematical Statistics I
- STA457H1 - Time Series Analysis
- JPE395H1 - Physics of the Earth
- PHY492H1 - Advanced Atmospheric Physics
- CSC311H1 - Introduction to Machine Learning
- MAT309H1 - Introduction to Mathematical Logic
- APM462H1 - Nonlinear Optimization
- CHM326H1 - Introductory Quantum Mechanics and Spectroscopy
- CHM328H1 - Modern Physical Chemistry
- PHY354H1 - Advanced Classical Mechanics
- PHY356H1 - Quantum Mechanics I
- PHY385H1 - Introductory Optics
- PHY392H1 - Physics of Climate
- CSC317H1 - Computer Graphics
- PHY408H1 - Time Series Analysis
- PHY454H1 - Continuum Mechanics
- CSC419H1 - Geometry Processing
- MAT402H1 - Classical Geometries
- MAT301H1 - Groups and Symmetries
- MAT403H1 - Classical Geometries II
- MAT315H1 - Introduction to Number Theory
- MAT334H1 - Complex Variables
- MAT335H1 - Chaos, Fractals and Dynamics
- MAT370H1 - Introduction to Mathematical Probability
- MAT475H1 - Problem Solving Seminar
- APM346H1 - Partial Differential Equations
- PSL432H1 - Theoretical Physiology
- CSC320H1 - Introduction to Visual Computing
- CSC417H1 - Physics-Based Animation
- CSC466H1 - Numerical Methods for Optimization Problems
- MAT337H1 - Introduction to Real Analysis
- PHY350H1 - Electromagnetic Theory
- PHY407H1 - Computational Physics
- MAT336H1 - Elements of Analysis
- STA355H1 - Theory of Statistical Practice
Academic Planning at University of Toronto
Students planning MAT235Y1 at University of Toronto should complete 9 prerequisites before enrollment.
Course Sequence: This course requires a 3-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing MAT235Y1 enables enrollment in 39 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.