Applied & Computational Math

2026-2027

36 courses

ACM 101abMethods of Applied Mathematics
ACM 104Applied Linear Algebra
ACM 106abIntroductory Methods of Computational Mathematics
ACM 107abLinear Analysis with Applications
ACM 109Mathematical Modelling
ACM 11Introduction to Computational Science and Engineering
ACM 112Bayesian Statistics
ACM 116Introduction to Probability Models
ACM 117Probability Theory and Computational Mathematics
ACM 118Gaussian Processes and kernel methods
ACM 122Mathematical Optimization
ACM 127Calculus of Variations
ACM 140abcProbability
ACM 142abOrdinary and Partial Differential Equations
ACM 154Inverse Problems and Data Assimilation
ACM 157Statistical Inference
ACM 158Fundamentals of Statistical Learning
ACM 170Mathematics of Signal Processing
ACM 180abMultiscale Modeling
ACM 190Reading and Independent Study
ACM 201Partial Differential Equations
ACM 204Topics in Linear Algebra and Convexity
ACM 206Topics in Computational Mathematics
ACM 210Numerical Methods for PDEs
ACM 213Topics in Optimization
ACM 216Markov Chains, Discrete Stochastic Processes and Applications
ACM 217Advanced Topics in Probability
ACM 221abQuantum algorithms for scientific computation
ACM 232abComputational Fluid Dynamics
ACM 256Special Topics in Applied Mathematics: Optimal Transport
ACM 257Special Topics in Financial Mathematics
ACM 270Advanced Topics in Applied and Computational Mathematics
ACM 300Research in Applied and Computational Mathematics
ACM 80abcUndergraduate Thesis
ACM 81abcUndergraduate Projects in Applied and Computational Mathematics
ACM 95/100abIntroductory Methods of Applied Mathematics for the Physical Sciences