Spring 2020 Graduate Courses in AMSC/MATH/STAT

Monday/Wednesday/Friday

9:00

 

 

 

 

10:00

Math 674/AMSC 674

Math 620

Partial Differential Equations II (Grillakis)

Algebraic Number Theory I (Ramachandran)

11:00

Math 602

Stat 730

Homological Algebra (Brosnan)

Fundamental concepts of time series (Kedem)

12:00

Math 636

 

Representation Theory (Adams)

1:00

Math 858L

Math 808G

Mathematical Methods in Machine Learning (Dong)

Introduction to Stacks (Haines) 

2:00

Math 713

Stat 741

Mathematical Logic II (Laskowski)

Linear Statistical Models II (Smith)

MW 3:00-4:30 

 Stat 818B

Bayesian Statistical Analysis (Lahiri)

 

 MW 5-6:15

 Stat 650

 

Applied Theory of Stochastic Processes (Slud)

 

Tuesday/Thursday
9:30

Math 601

AMSC 661

Stat 701

 

Abstract Algebra II (Schafer)

Scientific Computing II (Imbert-Gerard)

Mathematical Statistics II (Ren)

11:00

Math 740 

Math 848I

Stat 601

AMSC 664

AMSC 764

Fundamental Concepts of Differential Geometry (Wentworth)

Exterior Differential Systems (Melnick)

Probability Theory II (Cerrai)

Advanced Scientific Computing II (Bedrossian/Cameron)

Advanced Numerical Optimization (Goldstein)

12:30

Math 631

Math 734

Real Analysis II (Czaja)

Algebraic Topology (Goldman)

 2:00

Math 848T 

Math 660

Math 858N

Stat 818N

Scissors congruence, spectral sequences, and Hilbert's third problems (Zickert)

Complex Analysis I (Tamvakis)

Topics in Nonlinear Functional Analysis (Fitzpatrick)

Nonparametric Regression (Saegusa)

 3:30 

MATH858R/CMSC858R

Ramsey Theory and its applications (Gasarch)

 5-6:15

AMSC 715

Numerical Methods for Evolution PDEs (Nochetto)