CAAM Courses for 2023-2024

Please note that this schedule is subject to change.

Mathematical Computation I: Matrix Computation Course
CAAM 30900=STAT 30900, CMSC 37810
Lek-Heng Lim
Sec 1: MW 3:00 PM–4:20 PM
Eckhart 133

Modern Applied Optimization
CAAM 31001= STAT 31001, FINM 34800
Lek-Heng Lim
Sec 1: T 2:00 PM-4:50 PM
MS 112

Inverse Problems and Data Assimilation
CAAM 31150=STAT 31150
Daniel Sanz-Alonso
Sec 1: TR 9:30 AM–10:50 AM
Kent 101

Fast Algorithms
CAAM 31190=STAT 31190
Jeremy Hoskins
Sec 1: TR 2:00 PM–3:20 PM
Jones 303

Mathematical Introduction to Topological Insulators
CAAM 31250=STAT 31250
Guillaume Bal
Sec 1: MW 9:00 AM–10:20 AM
Jones 226

Applied Dynamical Systems
CAAM 31410=STAT 31410
Mary Silber
Sec 1: TR 11:00 AM-12:20 PM
Ryerson 277

Applied Linear Algebra
CAAM 31430=STAT 31430
Eric Baer
Sec 1: MW 3:00 PM–4:20 PM
Ryerson 177

Applied Analysis
CAAM 31440=STAT 31440=
Eric Baer
Sec 1: MWF 10:30 AM–11:20 AM
Rosenwald 015

Machine Learning 1
CAAM 37711=STAT 37711, DATA 37711
Victor Veitch
Sec 1: TR 11:00 AM-12:20 PM
Ryerson 251

Algorithms for Massive Datasets
CAAM 37782=STAT 37782
Yuehaw Khoo
Sec 1: MW 3:00 PM–4:20 PM
Eckhart 117

Scientific Computing with Python
CAAM 37830=STAT 37830
Tristan Goodwill
Sec 1: TR 12:30 PM-1:50 PM
Rosenwald 015

Please note that this schedule is subject to change.

Mathematical Computation IIA: Convex Optimization
CAAM 31015=BUSN 36903, CMSC 35470, STAT 31015, TTIC 31070
Zhiyuan Li 
Sec 1: MW 3:00 PM–4:20 PM
TTIC 530

Mathematical Computation IIB: Nonlinear Optimization
CAAM 31020=STAT 31020
Mihai Anitescu
Sec 1: MW 1:30 PM–2:50 PM
Eckhart 133

Mathematical Computation III: Numerical Methods for PDE's
CAAM 31100= CMSC 37812, MATH 38309, STAT 31100
Jeremy Hoskins
Sec 1: TR 2:00 PM–3:20 PM
Jones 226

Applied Functional Analysis
CAAM 31210=STAT 31210
Guillaume Bal
Sec 1: MW 9:30 AM–10:50 AM
Jones 226

Homogenization of Partial Differential Equations
CAAM 31260=STAT 31260
Thuyen Dang
Sec 1: TR 12:30 PM–1:50 PM
Jones 226

Applied Fourier Analysis
CAAM 31460=STAT 31460
Eric Baer
Sec 1: TR 9:30 AM–10:50 AM
Jones 303

Machine Learning on Graphs, Groups and Manifolds
CAAM 37788=CMSC 35430, STAT 37788
Risi Kondor
Sec 1: MW 1:30 PM – 2:50 PM
Ryerson 177

Theories of Cortical Circuit Dynamics and Computation
CAAM 42610= CPNS 32610, STAT 42610
Brent Doiron
Sec 1: TR 3:30 PM-4:50 PM 
Jones 226

Optimization
CAAM 28000=STAT 28000
Lek-Heng Lim
Sec 1: MW 3:00 PM–4:20 PM
TBA

Dynamical Systems with Applications
CAAM 28200=STAT 28200
Mary Silber
Sec 1: TR 9:30 AM–10:50 AM
TBA

Applied Approximation Theory
CCAM 31050=STAT 31050
Jeremy Hoskins
Sec 1: MW 9:30 AM–10:50 AM
TBA

Partial Differential Equations
CAAM 31220=STAT 31220
Guillaume Bal
Sec 1: TR 11:00 AM–12:20 PM
TBA

Variational Methods in Image Processing
CAAM 31240=STAT 31240
Eric Baer
Sec 1: MW 9:30 AM–10:50 AM
TBA

Applied Partial Differential Equations
CAAM 31450=STAT 31450=
Anjali Nair
Sec 1: TR 11:00 AM–12:20 PM
TBA

Monte Carlo Simulation
CAAM 31511=STAT 31511
Daniel Sanz-Alonso
Sec 1: TR 2:00 PM–3:20 PM
TBA

Stochastic Processes in Gene Regulation
CAAM 35420= ECEV 35420, MGCB 35420, STAT 35420
John Reinitz
Sec 1: MW 3:00 PM–4:20 PM
TBA

Machine Learning
CAAM 37710= CMSC 35400, STAT 37710
Risi Kondor
Sec 1: MW 1:30 PM–2:50 PM
TBA

Topics in Random Matrix Theory
CAAM 38520=STAT 38520
Yier Lin
Sec 1: TR 2:00 PM–3:20 PM
TBA