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