CAAM Courses for 2026-2027

Autumn 2026 Course Offerings

Course Search

Please note that these course listings are subject to change.

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

Modern Applied Optimization
CAAM 31001=FINM 34800, STAT 31001
TBD
Sec 1: TBD
TBA

Inverse Problems and Data Assimilation: A Machine Learning Approach
CAAM 31151 =STAT 31151
Daniel Sanz-Alonso
Sec 1: TR 9:30 AM–10:50 AM
TBA

Applied Dynamical Systems
CAAM 31410=STAT 31410
Nisha Chandramoorthy 
Sec 1: TR 11:00 AM-12:20 PM
TBA

Applied Linear Algebra
CAAM 31430=STAT 31430
Eric Baer
Sec 1: MW 1:30 PM–2:50 PM
TBA

Applied Analysis
CAAM 31440=STAT 31440
Eric Baer
Sec 1: MW 10:30 AM–11:50 AM
TBA

Applied Complex Analysis
CAAM 21470, CAAM 31470=STAT 31470
Timonthy Roberts
Sec 1: MWF 12:30 PM–1:20 PM
TBA

Asymptotic Analysis
CAAM 31531=STAT 31531
Jeremy Hoskins
Sec 1: TR 2:00 PM–3:20 PM
TBA

Foundations of Machine Learning and AI - Part I
CAAM 37711= DATA 37711,STAT 37711
Victor Veitch
Sec 1: MW 3:00 PM-4:20 PM
TBA

Scientific Computing with Python
CAAM 37830=STAT 37830
Tianyu Kong
Sec 1: TR 12:30 PM-1:50 PM
TBA

High-Dimensional Probability
CAAM 38530=STAT 38530
Eitan Levin
Sec 1: TR 12:30 PM-1:50 PM
Jones 226