AM courses
57 courses · University of California Santa Cruz · Fall 2026
- AM 3 — AM 3Precalculus for the Social Sciences1 section
- AM 6 — AM 6Precalculus for Statistics1 section
- AM 10 — AM 10Linear Algebra for Engineers1 section
- AM 11A — AM 11AMathematical Methods for Economists I1 section
- AM 11B — AM 11BMathematical Methods for Economists II1 section
- AM 20 — AM 20Ordinary Differential Equations for Engineers1 section
- AM 30 — AM 30Multivariate Calculus for Engineers1 section
- AM 100 — AM 100Mathematical Methods for Engineers1 section
- AM 107 — AM 107Introduction to Fluid Dynamics1 section
- AM 112 — AM 112Introduction to Partial Differential Equations1 section
- AM 114 — AM 114Introduction to Dynamical Systems1 section
- AM 115 — AM 115Stochastic Modeling in Biology1 section
- AM 129 — AM 129Foundations of Scientific Computing for Scientists and Engineers1 section
- AM 147 — AM 147Computational Methods and Applications1 section
- AM 148 — AM 148GPU Programming for Scientific Computations1 section
- AM 160 — AM 160Introduction to Scientific Machine Learning1 section
- AM 170A — AM 170AMathematical Modeling 11 section
- AM 170B — AM 170BMathematical Modeling 21 section
- AM 178A — AM 178ALearning Assistant Training for AM 101 section
- AM 180 — AM 180Reading Research Papers in Applied Mathematics1 section
- AM 195 — AM 195Senior Thesis Research1 section
- AM 198 — AM 198Independent Study or Research1 section
- AM 198F — AM 198FIndependent Study or Research1 section
- AM 200 — AM 200Teaching in Applied Mathematics1 section
- AM 211 — AM 211Foundations of Applied Mathematics1 section
- AM 212 — AM 212Advanced Methods of Applied Mathematics1 section
- AM 212A — AM 212AApplied Partial Differential Equations1 section
- AM 212B — AM 212BApplied Mathematical Methods II1 section
- AM 213A — AM 213ANumerical Linear Algebra1 section
- AM 213B — AM 213BNumerical Methods for the Solution of Differential Equations1 section
- AM 215 — AM 215Stochastic Modeling in Biology1 section
- AM 216 — AM 216Stochastic Differential Equations1 section
- AM 217 — AM 217Introduction to Fluid Dynamics1 section
- AM 224 — AM 224Applied Dynamical Systems1 section
- AM 227 — AM 227Waves, Instabilities, and Turbulence in Fluids1 section
- AM 229 — AM 229Convex Optimization1 section
- AM 230 — AM 230Numerical Optimization1 section
- AM 231 — AM 231Nonlinear Control Theory1 section
- AM 232 — AM 232Applied Optimal Control1 section
- AM 234 — AM 234Machine Learning and Artificial Intelligence in Genomics1 section
- AM 238 — AM 238Fundamentals of Uncertainty Quantification in Computational Science and Engineering1 section
- AM 250 — AM 250An Introduction to High Performance Computing1 section
- AM 260 — AM 260Computational Fluid Dynamics1 section
- AM 261 — AM 261Advanced Scientific Machine Learning1 section
- AM 273 — AM 273System Identification for Aerial Robotic Systems1 section
- AM 275 — AM 275Magnetohydrodynamics1 section
- AM 280A — AM 280ASeminar in Mathematical and Computational Biology1 section
- AM 280B — AM 280BSeminar in Applied Mathematical Modeling1 section
- AM 280C — AM 280CSeminar in Geophysical and Astrophysical Fluid Dynamics1 section
- AM 296 — AM 296Masters Project1 section
- AM 297A — AM 297AIndependent Study or Research1 section
- AM 297B — AM 297BIndependent Study or Research1 section
- AM 297C — AM 297CIndependent Study or Research1 section
- AM 297F — AM 297FIndependent Study1 section
- AM 299A — AM 299AThesis Research1 section
- AM 299B — AM 299BThesis Research1 section
- AM 299C — AM 299CThesis Research1 section
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