Course Catalog

The following is a listing of the courses offered by the Applied Math department at the University of Washington. For more information about a particular course, please click the course number. The subsequent web page will contain a short description of the course, when it is offered, and archived web pages from previous quarters if they are available. If you are searching for course webpages for the current year, see the Current Offerings page.

Applied Mathematics (AMATH)

Undergraduate Courses

Number Course Name
301 Beginning Scientific Computing
351 Introduction to Differential Equations and Applications
352 Applied Linear Algebra and Numerical Analysis
353 Fourier Analysis and Partial Differential Equations
383 Introduction to Continuous Mathematical Modeling
401 Vector Calculus and Complex Variables
402 Introduction to Dynamical Systems and Chaos
403 Methods for Partial Differential Equations
422 Computational Modeling of Biological Systems
423 Mathematical Analysis in Biology and Medicine
481 Scientific Computing
482 Computational Methods for Data Analysis
483 High-Performance Scientific Computing

Graduate Courses

Number Course Name
501 Vector Calculus and Complex Variables
502 Introduction to Dynamical Systems and Chaos
503 Methods for Partial Differential Equations
504 Mathematical Epidemiology
505 Introduction to Fluid Dynamics
506 Applied Probability Statistics
507 Calculus of variations
509 Theory of Optimal Control
512 Methods of Engineering Analysis
514 Networks and Combinatorial Optimization
515 Fundamentals of Optimization
516 Numerical Optimization
521 Special Topics in Mathematical Biology
522 Introduction to Mathematical Biology
523 Mathematical Analysis in Biology and Medicine
524 Mathematical Biology: Spatiotemporal Models
531 Mathematical Theory of Cellular Dynamics
532 Mathematics of Genome Analysis and Molecular Modeling
533 Neural Control of Movement: A Computational Perspective
534 Dynamics of Neurons and Networks
535 Mathematical Ecology
536 Spatial Models in Ecology and Epidemiology
567 Applied Analysis
568 Advanced Methods for Ordinary Differential Equations
569 Advanced Methods for Partial Differential Equations
570 Asymptotic and Perturbation Methods
572 Introduction to Applied Stochastic Analysis
573 Coherent Structures, Pattern Formation and Solitons
574 Conservation Laws and Finite Volume Methods
575 Dynamical Systems
579 Intellegent Control through Learning and Optimization
581 Scientific Computing
582 Computational Methods for Data Analysis
583 High-Performance Scientific Computing
584 Applied Linear Algebra and Introductory Numerical Analysis
585 Numerical Analysis of Boundary Value Problems
586 Numerical Analysis of Time Dependent Problems
590 Special Topics

Computational Finance & Risk Management (CFRM)

Undergraduate Courses

Number Course Name
460 Mathematical Methods for Quantitative Finance
461 Probability and Statistics for Computational Finance
462 Introduction to Computational Finance and Financial Econometrics
463 R Programming for Quantitative Finance

Graduate Courses

Number Course Name
510 Financial Data Access with SQL, Excel, and VBA
540 Capital Markets and Data for Computational Finance
541 Investment Science
542 Financial Data Modeling and Analysis in R
543 Portfolio Construction and Risk Management
544 Options and Derivatives
545 Introduction to Risk Management
546 Quantitative Risk Management
547 Credit Risk Management
548 Monte Carlo Methods in Finance
551 Introduction to Trading Systems
552 Portfolio Performance Analysis and Benchmarking
553 Financial Time Series Forecasting Methods
554 Endowment Investment Management
555 Optimization in Finance
556 Statistical Modelss for Quantitative Finance
557 Financial Software Development and Integration with C++
558 Fixed Income Analytics and Portfolio Management
559 Stochastic Calculus for Quantitative Finance