MAT342 - Linear Algebra
Course: MAT342 (Linear Algebra) in MAT department at Arizona State University.
Credit Hours: 3 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 2 prerequisite courses
Prerequisite Chain Depth: 9 levels of foundational courses required
Future Opportunities: Unlocks 42 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the MAT curriculum at Arizona State University, helping students progress through degree requirements.
Courses unlocked by MAT342
- MAT343 - Applied Linear Algebra
- CHM345 - Physical Chemistry I
- CHE384 - Numerical Methods for Chemical Engineers
- CAS305 - Making Sense of Complex Data
- CSE477 - Introduction to Computer-Aided Geometric Design
- EEE407 - Digital Signal Processing
- EEE419 - Python for Rapid Engineering Solutions
- MSE355 - Structure and Defects
- MAT476 - Partial Differential Equations
- IEE376 - Operations Research Deterministic Techniques/Applications
- MSE470 - Polymers and Composites
- MAE455 - Polymers and Composites
- MAT416 - Graph Theory
- MAT419 - Introduction to Linear Optimization
- MAT420 - Scientific Computing
- MAT423 - Numerical Analysis I
- MAT440 - Group Theory
- MAT443 - Introduction to Abstract Algebra
- MAT441 - Ring Theory
- MAT442 - Advanced Linear Algebra
- MAT447 - Cryptography I
- MAT451 - Mathematical Modeling
- MAT460 - Vector Calculus
- MAT462 - Applied Partial Differential Equations
- MAT473 - Intermediate Real Analysis II
- MAT475 - Differential Equations
- AML406 - Directed Reading and Research in Applied Mathematics for the Life and Social Sciences
- CAS406 - Directed Reading and Research in Applied Mathematics for the Life and Social Sciences
- CSE470 - Computer Graphics
- CSE475 - Foundations of Machine Learning
- CPI200 - Mathematical Foundations of Informatics
- EEE405 - Machine Learning Basics with Deployment to FPGAs
- MAT350 - Techniques and Applications of Applied Mathematics
- MAT353 - Mathematics and Cancer
- MAT412 - Differential Geometry
- MAT415 - Introduction to Combinatorics
- MAT422 - Mathematical Methods in Data Science
- MAT445 - Theory of Numbers
- MAT450 - Mathematical Models in Biology
- MAT452 - Introduction to Chaos and Nonlinear Dynamics
- MAE301 - Applied Experimental Statistics
- MAE384 - Advanced Mathematical Methods for Engineers
Academic Planning at Arizona State University
Students planning MAT342 at Arizona State University should complete 2 prerequisites before enrollment.
Course Sequence: This course requires a 9-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing MAT342 enables enrollment in 42 advanced courses, opening specialization opportunities in the MAT program.
This year 0 course at Arizona State University integrates into structured degree pathways for MAT programs, supporting timely graduation and academic progression.