MAT188H1 - Linear Algebra
Course: MAT188H1 (Linear Algebra) in MAT department at University of Toronto.
Credit Hours: 38.4 • Academic Level: first-year undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 17 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the MAT curriculum at University of Toronto, helping students progress through degree requirements.
Courses unlocked by MAT188H1
- CME261H1 - Engineering Mathematics I
- CME538H1 - Introduction to Data Science for Civil and Mineral Engineers
- APS360H1 - Applied Fundamentals of Deep Learning
- CIV214H1 - Structural Analysis I
- ECE367H1 - Matrix Algebra and Optimization
- MIE262H1 - Deterministic Operations Research
- CSC310H1 - Information Theory
- CSC311H1 - Introduction to Machine Learning
- CSC413H1 - Neural Networks and Deep Learning
- CHE222H1 - Process Dynamics: Modeling, Analysis and Simulation
- CSC419H1 - Geometry Processing
- MIE402H1 - Vibrations
- MAT221H1 - Applied Linear Algebra
- APS502H1 - Financial Engineering
- CSC320H1 - Introduction to Visual Computing
- CSC417H1 - Physics-Based Animation
- PPG201H1 - Microeconomics for Engineers
Academic Planning at University of Toronto
Students planning MAT188H1 at University of Toronto should complete 0 prerequisites before enrollment.
Future Pathways: Completing MAT188H1 enables enrollment in 17 advanced courses for further study
This first-year course at University of Toronto integrates into structured degree pathways for MAT programs, supporting timely graduation and academic progression.