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
Inverse Problems and Data Assimilation
CAAM 31150=STAT 31150
Daniel Sanz-Alonso
Sec 01: Th 11:00 AM–12:20 PM
Location Pick 016
Inverse Problems in Imaging
CAAM 31230=STAT 31230
Guillaume Bal
Sec 01: Th 9:30 AM–10:50 AM
Jones 226
Applied Dynamical Systems
CAAM 31410 =STAT 31410
Mary Silber
Sec 01: This class is listed as MW 10:30 AM–12:20 PM on the Registrar's site, but it will actually meet MW 10:30 AM-11:50 AM.
Jones 303
Applied Linear Algebra
CAAM 31430=STAT 31430
Eric Baer
Sec 01: MW 1:30 PM–2:50 PM
Location Ryerson 177
Applied Analysis
CAAM 31440=STAT 31440
Eric Baer
Sec 01: MWF 9:30 AM–10:20 AM
Location Social Sciences 106
Multivariate Data Analysis via Matrix Decompositions
CAAM 32940=STAT 32940, FINM 33180
Lek-Heng Lim
Sec 01: M 6:300 PM–8:50 PM
Location: MS 112 (5727 S. University Ave. 112)
Stochastic Processes in Gene Regulation
STAT 35420=CAAM 35420, ECEV 35420, MGCB 35420
John Reinitz
Sec 01: Th 2:00 PM–3:20 PM
Jones 226
Scientific Computing with Python
CAAM 37830=STAT 37830
Yuehaw Khoo
Sec 01: TR 9:30 AM-10:50 AM
Location Stuart 102
Dynamical Systems with Applications
CAAM 28200=STAT 28200
Alexander Strang
Section 1: MW 1:30 PM–2:50 PM
Jones 226
Mathematical Computation IIA: Convex Optimization
CAAM 31015=STAT 31015, BUSN 36903, CMSC 35470, TTIC 31070
Hongyuan Mei
Section 1: TR 3:30 PM–4:50 PM
TBA
Mathematical Computation IIB: Nonlinear Optimization
CAAM 31020=STAT 31020
Mihai Anitescu
Section 1: MW 3:00 PM-4:20 PM
Eckhart 133
Mathematical Computation III: Numerical Methods for PDEs
CAAM 31100=STAT 31100, CMSC 37812, MATH 38309
Jeremy Hoskins
Section 1: MW 10:30 AM–11:50 AM
Jones 303
Numerical Methods for Stochastic Differential Equations
CAAM 31120=STAT 31120
Zhongjian Wang
Section 1: TR 2:00 PM–3:20 PM
Jones 226
Applied Functional Analysis
CAAM 31210=STAT 31210
Guillaume Bal
Section 1: MW 9:00 AM–10:20 AM
Jones 226
Applied Fourier Analysis
CAAM 31460=STAT 31460
Eric Baer
Section 1: TR 9:30 AM-10:50AM
Jones 226
Topological Data Analysis
CAAM 37411=STAT 37411
Bradley Nelson
Section 1: MW 10:30 AM-11:50 AM
Jones 226
Scientific Computing with Python
CAAM 37830=STAT 37830
Bradley Nelson
Section 1: MW 1:30 PM–2:50 PM
TBA
Topics in Random Matrix Theory
CAAM 38520=STAT 38520
Pierre Yves Gaudreau Lamarre
Section 1: MW 12:00 PM-1:20 PM
Jones 226
Topics in Machine Learning: Machine Learning and Inverse Problems
STAT 37799=CMSC 37799
Rebecca Willett
Section 1: M 9:30 AM-12:20 PM
TBA
Optimization
CAAM 28000=STAT 28000
Lek-Heng Lim
Sec 1: MW 3:00 PM-4:20 PM
TBA
Partial Differential Equations
CAAM 31220=STAT 31220
Guillaume Bal
Sec 1: TR 2:00 PM-3:20 PM
TBA
Variational Methods in Image Processing
CAAM 31240=STAT 31240
Eric Baer
Sec 1: MW 9:00 AM-10:20 AM
TBA
Applied Partial Differential Equations
CAAM 31450=STAT 31450
Jeremy Hoskins
Sec 1: MW 10:30 AM-11:50 AM
TBA
Monte Carlo Simulation
CAAM 31511=STAT 31511
Daniel Sanz-Alonso
Sec 1: TR 11:00 AM-12:20 PM
TBA
Machine Learning and Large-Scale Data Analysis
STAT 37601=CMSC 25025
Yali Amit
Sec 1: TR 2:00 PM-3:20 PM
TBA
Machine Learning
CAAM 37710=STAT 37710, CMSC 35400
Yuxin Chen
Sec 1: TR 9:30 AM-10:50 PM
TBA
Topics in Machine Learning: Machine Learning for Molecular Modeling
CMSC 3540
Risi Kondor
Sec 1: MW 3PM-4:20PM
TBA
Machine Learning on Graphs, Groups and Manifolds
CMSC 35430
Risi Kondor
Sec 1: MW 1:30PM-2:50PM
TBA