CAAM Courses for 2022-2023

Please note that this schedule is subject to change.

Mathematical Computation I: Matrix Computation
CAAM 30900=STAT 30900, CMSC 37810
Lek-Heng Lim
Sec 01: MW 3:00 PM–4:20 PM
Eckhart 133

Numerical Methods for Stochastic Differential Equations
CAAM 31120=STAT 31120
Zhongjian Wang
Sec 1: TR 2:00 PM–3:20 PM
Location: Jones 226

Inverse Problems and Data Assimilation
CAAM 31150=STAT 31150
Daniel Sanz-Alonso
Sec 1: TR 2:00 PM–3:20 PM
Location: Harper 130

Mathematical Introduction to Topological Insulators
CAAM 31250=STAT 31250
Guillaume Bal
Sec 1: TR 11:00 AM–12:20 PM
Location: Jones 226

Applied Dynamical Systems
CAAM 31410=STAT 31410
Mary Silber
Sec 1: MW 1:30 PM-2:50 PM
Location: Jones 303

Applied Linear Algebra
CAAM 31430=STAT 31430
Eric Baer
Sec 1: MW 3:00 PM–4:20 PM
Location: Eckhart 203

Applied Analysis
CAAM 31440=STAT 31440
Eric Baer
Sec 1: MWF 9:30 AM–10:20 AM
Location: Rosenwald 011

Machine Learning
CAAM 37710=STAT 37710, CMSC 35400
Cong Ma
Sec 1: TR 11:00 AM–12:20 PM
Location: Stuart 101

Scientific Computing with Python
CAAM 37830=STAT 37830
Jeremy Hoskins
Sec 1: TR 2:00 PM-3:20 PM
Location: Stuart 104

Modern Applied Optimization
FINM 34800
Lek-Heng Lim
Sec 1: M 6:00 PM-9:00 PM
Location: Kent 120

Please note that this schedule is subject to change.

Mathematical Computation IIA: Convex Optimization
CAAM 31015=STAT 31015, BUSN 36903, CMSC 35470, TTIC 31070

Mathematical Computation IIB: Nonlinear Optimization
CAAM 31020=STAT 31020

Mathematical Computation III: Numerical Methods for PDEs
CAAM 31100=STAT 31100, CMSC 37812, MATH 38309

Applied Functional Analysis
CAAM 31210=STAT 31210

Topics in Random Matrix Theory
CAAM 38520=STAT 38520

Theories of Cortical Circuit Dynamics and Computation
CAAM 42610=STAT 42610, CPNS 32610

Dynamical Systems with Applications
CAAM 28200=STAT 28200

Machine Learning on Graphs, Groups and Manifolds
STAT 37788=CMSC 35430

Please note that this schedule is subject to change.

Approximation Theory
Course Number TBA; new course 2022-2023.

Partial Differential Equations
CAAM 31220=STAT 31220

Variational Methods in Image Processing
CAAM 31240=STAT 31240

Applied Partial Differential Equations
CAAM 31450=STAT 31450

Monte Carlo Simulation
CAAM 31511=STAT 31511

Machine Learning
CAAM 37710=STAT 37710, CMSC 35400

Optimization
CAAM 28000=STAT 28000

Machine Learning and Large-Scale Data Analysis
STAT 37601=CMSC 25025