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- APPM 2720 - Open Topics in Lower Division Applied Mathematics Course
- APPM 3010 - Chaos in Dynamical Systems Course
- APPM 3050 - Scientific Computing in Matlab Course
- APPM 3170 - Discrete Applied Mathematics Course
- APPM 3310 - Matrix Methods and Applications Course
- APPM 3350 - Advanced Engineering Calculus Course
- APPM 3570 - Applied Probability Course
- APPM 3650 - Algorithms and Data Structures in Python Course
- APPM 4120 - Introduction to Operations Research Course
- APPM 4350 - Methods in Applied Mathematics: Fourier Series and Boundary Value Problems Course
- APPM 4360 - Methods in Applied Mathematics: Complex Variables and Applications Course
- APPM 4370 - Computational Neuroscience Course
- APPM 4380 - Modeling in Applied Mathematics Course
- APPM 4390 - Modeling in Mathematical Biology Course
- APPM 4440 - Undergraduate Applied Analysis 1 Course
- APPM 4450 - Undergraduate Applied Analysis 2 Course
- APPM 4490 - Theory of Machine Learning Course
- APPM 4500 - Statistical Collaboration Course
- APPM 4510 - Data Assimilation in High Dimensional Dynamical Systems Course
- APPM 4515 - High-Dimensional Probability for Data Science Course
- APPM 4520 - Introduction to Mathematical Statistics Course
- APPM 4530 - Stochastic Analysis for Finance Course
- APPM 4540 - Introduction to Time Series Course
- APPM 4560 - Markov Processes, Queues, and Monte Carlo Simulations Course
- APPM 4565 - Random Graphs Course
- APPM 4570 - Statistical Methods Course
- APPM 4580 - Statistical Learning Course
- APPM 4600 - Numerical Methods and Scientific Computing Course
- APPM 4610 - Numerical Differential Equations Course
- APPM 4650 - Intermediate Numerical Analysis 1 Course