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CAAM 24310
Numerical Linear Algebra: an Introduction to Computation
CAAM 28000
Optimization
CAAM 28200
Dynamical Systems with Applications
CAAM 30900
Mathematical Computation I: Matrix Computation Course
CAAM 31001
Modern Applied Optimization
CAAM 31015
Mathematical Computation IIA: Convex Optimization
CAAM 31020
Mathematical Computation IIB: Nonlinear Optimization
CAAM 31050
Applied Approximation Theory
CAAM 31100
Mathematical Computation III: Numerical Methods for PDE's
CAAM 31120
Numerical Methods for Stochastic Differential Equations
CAAM 31140
Computational Imaging: Theory and Methods
CAAM 31150
Inverse Problems and Data Assimilation
CAAM 31190
Fast Algorithms
CAAM 31210
Applied Functional Analysis
CAAM 31220
Partial Differential Equations
CAAM 31230
Inverse Problems in Imaging
CAAM 31240
Variational Methods in Image Processing
CAAM 31250
Mathematical Introduction to Topological Insulators
CAAM 31260
Homogenization of Partial Differential Equations
CAAM 31410
Applied Dynamical Systems
CAAM 31430
Applied Linear Algebra
CAAM 31440
Applied Analysis
CAAM 31450
Applied Partial Differential Equations
CAAM 31460
Applied Fourier Analysis
CAAM 31511
Monte Carlo Simulation
CAAM 32940
Multivariate Data Analysis via Matrix Decompositions
CAAM 35420
Stochastic Processes in Gene Regulation
CAAM 37411
Topological Data Analysis
CAAM 37710
Machine Learning
CAAM 37711
Machine Learning 1
CAAM 37782
Algorithms for Massive Datasets
CAAM 37783
Solving PDEs with Machine Learning
CAAM 37785
Modern Approaches for Computational Quantum Problems
CAAM 37788
Machine Learning on Graphs, Groups and Manifolds
CAAM 37791
Topics in Machine Learning
CAAM 37798
Topics in Machine Learning: Scientific Computing Tools for H...
CAAM 37799
Topics in Machine Learning: Machine Learning and Inverse Pro...
CAAM 37830
Scientific Computing with Python
CAAM 38520
Topics in Random Matrix Theory
CAAM 42610
Theories of Cortical Circuit Dynamics and Computation
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