MATH223 - Linear Algebra
Course: MATH223 (Linear Algebra) in MATH department at McGill University.
Credit Hours: 3 • Academic Level: second-year undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 28 advanced courses for further study
Part of the MATH curriculum at McGill University, helping students progress through degree requirements.
Prerequisites for MATH223
Courses unlocked by MATH223
- COMP557 - Fundamentals of Computer Graphics
- COMP558 - Fundamentals of Computer Vision
- BMDE520 - Machine Learning for Biomedical Data
- COMP350 - Numerical Computing
- COMP549 - Brain-Inspired Artificial Intelligence
- COMP559 - Fundamentals of Computer Animation
- MATH376 - Honours Nonlinear Dynamics
- EXMD521 - Computational Methods Single-Cell Analytics
- PHYS357 - Honours Quantum Physics 1
- PHYS432 - Physics of Fluids
- COMP521 - Modern Computer Games
- MATH558 - Design of Experiments
- BMDE610 - Functional Neuroimaging Fusion
- COMP417 - Introduction Robotics and Intelligent Systems
- COMP514 - Applied Robotics
- COMP451 - Fundamentals of Machine Learning
- COMP562 - Theory of Machine Learning
- COMP579 - Reinforcement Learning
- COMP654 - Graph Representation Learning
- MATH562 - Theory of Machine Learning
- COMP511 - Network Science
- MATH326 - Nonlinear Dynamics and Chaos
- MATH327 - Matrix Numerical Analysis
- MATH417 - Linear Optimization
- MATH423 - Applied Regression
- MATH463 - Convex Optimization
- MATH517 - Honours Linear Optimization
- MATH308 - Fundamentals of Statistical Learning
Academic Planning at McGill University
Students planning MATH223 at McGill University should complete 1 prerequisite before enrollment.
Future Pathways: Completing MATH223 enables enrollment in 28 advanced courses for further study
This second-year course at McGill University integrates into structured degree pathways for MATH programs, supporting timely graduation and academic progression.