AMATH352 - Applied Linear Algebra and Numerical Analysis
Course: AMATH352 (Applied Linear Algebra and Numerical Analysis) in AMATH department at University of Washington.
Credit Hours: 3 • Academic Level: third-year undergraduate course
Course Requirements: Requires 2 prerequisite courses
Prerequisite Chain Depth: 2 levels of foundational courses required
Future Opportunities: Unlocks 37 advanced courses for further study
Course Type: Core pathway course - critical for degree progression
Part of the AMATH curriculum at University of Washington, helping students progress through degree requirements.
Courses unlocked by AMATH352
- MATH514 - Networks and Combinatorial Optimization
- CSE586 - Introduction to Synthetic Biology
- ESS469 - Machine Learning in Geosciences
- EE418 - Network Security and Cryptography
- AMATH481 - Scientific Computing
- AMATH586 - Numerical Methods for Partial Differential Equations
- MATH585 - Numerical Analysis
- MATH586 - Numerical Methods for Partial Differential Equations
- AMATH483 - High-Performance Scientific Computing
- AMATH585 - Numerical Analysis
- CSE486 - Introduction to Synthetic Biology
- EE460 - Neural Engineering
- EE466 - Neural Computation and Engineering Laboratory
- ME373 - Introduction to System Dynamics
- ME478 - Finite Element Analysis
- ESS411 - Geophysical Continuum Mechanics
- ESS412 - Introduction to Seismology
- ESS414 - Geophysics: Fluids
- BIOEN420 - Medical Imaging
- BIOEN437 - Computational Systems Biology
- BIOEN451 - Optical Coherence Tomography
- BIOEN466 - Neural Computation and Engineering Laboratory
- CHEME476 - Introduction to Synthetic Biology
- AMATH482 - Computational Methods for Data Analysis
- AMATH514 - Networks and Combinatorial Optimization
- BIOEN450 - Tissue Optics and Imaging
- BIOEN523 - Introduction to Synthetic Biology
- CFRM405 - Mathematical Methods for Quantitative Finance
- CHEME576 - Introduction to Synthetic Biology
- EE347 - Introduction to Robotics and Control Systems
- EE423 - Introduction to Synthetic Biology
- EE445 - Fundamentals of Optimization and Machine Learning
- EE467 - Machine Learning for Cybersecurity
- EE523 - Introduction to Synthetic Biology
- MOLENG525 - Introduction to Synthetic Biology
- BIOEN423 - Introduction to Synthetic Biology
- BIOEN460 - Neural Engineering
Academic Planning at University of Washington
Students planning AMATH352 at University of Washington should complete 2 prerequisites before enrollment.
Future Pathways: Completing AMATH352 enables enrollment in 37 advanced courses for further study
This third-year course at University of Washington integrates into structured degree pathways for AMATH programs, supporting timely graduation and academic progression.