MATH Graduate Course Catalog

Year:

Graduate MATH classes for Fall 2022 - Spring 2023

MATH511 Analysis I Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH512 Analysis II Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH515 Numerical Analysis I Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH516 Numerical Analysis, II Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH521 Algebra I Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH522 Algebra II Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH535 Combinatorics I Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH536 Combinatorics II Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH557 Part Differential Equations I Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH558 Partial Differential Equations Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH561 Matrix Analysis Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH572 Num. Part Differential Equatns Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH577R Seminar In Combinatorics Credits: 1-9
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH578R Seminar In Algebra Credits: 1-9
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH579R Seminar In Analysis Credits: 1-9
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH590 Teaching Seminar Credits: 1
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH787R Topics in Combinatorics Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH788 Topics In Algebra Credits: 1-9
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH789 Topics in Analysis Credits: 3
Content: TBA
Particulars: TBA
Prerequisites: TBA
MATH789 Topics in Analysis: High dimensional data analysis Credits: 3
Content: The topic course will cover the mathematical and statistical principles for high-dimensional data and the associated scalable computational methods. In particular, it will focus on different low-dimensional models and analytical techniques, including sparse, low-rank, and deep network models.
Particulars: TBA
Prerequisites: TBA