Please click here for a compilation of
recommended background materials (PDF) for first year graduate courses in mathematics.
Graduate Courses proposed for the 20182019 academic year
Please note that these are proposed courses. The list of instructors is tentative and may yet change. However, interested students are encouraged to contact the mentioned instructors for additional information on the classes.
This page may change frequently without notice as instructor or course information is updated.
Information on some of the Mathematics courses (at the 500 level) may be found in our background information document.
Fall 2018
Course No. 
Title 
Additional information 
Instructor 
Math 505

Stochastic Analysis I


A. Melnikov

Math 515

Mathematical Finance I 

T. Choulli

Math 516 
Linear Analysis


A. Litvak

Math 521 
Differential Manifolds


J.D. Lewis

Math 524 
Ordinary Differential Equations IIA 

Y. Yi

Math 527 
Intermediate Partial Differential Equations


X. Yu

Math 535

Numerical Methods I


Y.S. Wong

Math 581 
Group Theory


N. Karpenko

Math 600 A1

Reading in Mathematics 
Introduction to Algebraic Geometry 
S. Gille 
Math 600 B1 
Reading in Mathematics 
Interfacial Fluid Mechanics 
R. Krechetnikov 
Math 664 
Topics in Applied Mathematics II

Stochastic modelling in ecology

E. Foxall

Stat 501

Directed Study I

TBA 
A. Simchi

Stat 502

Directed Study II

TBA

A. Kashlak

Stat 512 
Techniques of Mathematics for Statistics


D. Wiens

Stat 553 
Risk Theory


A. Cadenillas 
Stat 561 
Sample Survey Methodology


R. Karunamuni

Stat 562 
Discrete Data Analysis 

B. Jiang 
Stat 566 
Methods of Statistical Inference


R. Karunamuni

Stat 578 
Regression Analysis


K. Chough

Stat 580 
Stochastic Processes


Y. Hu

Winter 2019