MATH220 - Matrices
Course: MATH220 (Matrices) in MATH department at Pennsylvania State University.
Credit Hours: 2 • Academic Level: second-year undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 3 levels of foundational courses required
Future Opportunities: Unlocks 61 advanced courses for further study
Part of the MATH curriculum at Pennsylvania State University, helping students progress through degree requirements.
Courses unlocked by MATH220
- IE405 - Deterministic Models in Operations Research
- AERSP301 - Aerospace Structures
- CMPSC446 - Data Mining
- CMPSC489 - Deep Learning for Computer Vision
- DS310 - Machine Learning for Data Analytics
- EE415 - Computing with Commercial Quantum Computers
- ESC456 - Introduction to Neural Networks
- MTHED427 - Teaching Mathematics in Technology-Intensive Environments
- ME410 - Heat Transfer
- STAT400 - Statistical Modeling II
- AERSP309 - Astronautics
- CMPEN415 - Computing with Commercial Quantum Computers
- CMPSC445 - Applied Machine Learning in Data Science
- GAME450 - Advanced Game Programming
- MATSE419 - Computational Materials Science and Engineering
- MATSE430 - Materials Characterization
- EE337 - Introduction to Quantum Information Science and Engineering
- IE466 - Concurrent Engineering
- MATH310H - Honors Concepts of Combinatorics
- CMPSC458 - Fundamentals of Computer Graphics
- CMPSC450 - Concurrent Scientific Programming
- CMPSC455 - Introduction to Numerical Analysis I
- MATH425 - Introduction to Operations Research
- AERSP311 - Aerodynamics I
- AERSP462 - Aerospace Autonomy
- CMPEN454 - Fundamentals of Computer Vision
- EE350 - Continuous-Time Linear Systems
- EE380 - Introduction to Linear Control Systems
- EE454 - Fundamentals of Computer Vision
- EE456 - Introduction to Neural Networks
- EGEE456 - Introduction to Neural Networks
- ESC337 - Introduction to Quantum Information Science and Engineering
- IE305 - Product Design, Specification and Measurement
- IE425 - Stochastic Models in Operations Research
- MATSE400 - Crystal Chemistry
- MATSE413 - Solid-State Materials
- MATH430 - Linear Algebra and Discrete Models I
- MATH441 - Matrix Algebra
- MATH455 - Introduction to Numerical Analysis I
- MATH490H - Honors Student Colloquium
- MATH482 - Mathematical Methods of Operations Research
- MATH484 - Linear Programs and Related Problems
- MATH486 - Mathematical Theory of Games
- ME444 - Engineering Optimization
- PHYS230 - Introduction to Relativity
- PHYS337 - Introduction to Quantum Information Science and Engineering
- STAT440 - Computational Statistics
- SUR341 - Adjustment Computations
- AERSP424 - Advanced Computer Programming
- AERSP313 - Aerospace Analysis
- MATH310 - Elementary Combinatorics
- SUR421 - Advanced Photogrammetry
- CMPSC457 - Computer Graphics Algorithms
- CMPMT419 - Computational Materials Science and Engineering
- CMPSC466 - Introduction to Quantum Computation
- MATSE436 - Mechanical Properties of Materials
- MATH417 - Qualitative Theory of Differential Equations
- MATH452 - Deep Learning Algorithms and Analysis
- MTHED411 - Teaching Secondary Mathematics I
- ME370 - Vibration of Mechanical Systems
- SUR422 - Digital Photogrammetry
Academic Planning at Pennsylvania State University
Students planning MATH220 at Pennsylvania State University should complete 1 prerequisite before enrollment.
Course Sequence: This course requires a 3-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing MATH220 enables enrollment in 61 advanced courses for further study
This second-year course at Pennsylvania State University integrates into structured degree pathways for MATH programs, supporting timely graduation and academic progression.