Teaching

Graduate Courses:
MATH4403/5403: Numerical Linear Algebra-II, Fall 2019, Fall 2020,
The course provides an in-depth understanding of numerical methods for the solution of large scale eigenvalue problems arising in science and engineering applications. The objective of this course is to learn the algorithms for the solution of large eigenvalue problems: theory, implementation and applications.
MATH5373 001: Finite Element Methods, Spring 2020, Spring 2022
The course provides an in-depth understanding of numerical methods for the solution of partial differential equations using Finite Element Methods, Direct and Iterative Methods for the Sparse Linear Systems.
MATH5363 001: Scientific Computation and Numerical Methods, Fall 2018, Fall 2020, Fall 2022
This course provides an in-depth understanding of numerical methods for the solution of problems arising in computational science and engineering applications and implementing the algorithms using computing resources and environments.

 

Undergraduate Courses:
MATH4343 Introduction to Scientific Computing, Spring 2021, Spring 2022
Provides an understanding of a diverse set of problems, as well as algorithms for solving them and implementing the algorithms using high performance computing resources and environments. The emphasis is on problem solving and offers multiple projects concerning applications in science and engineering.

 

MATH3083: Linear Algebra, Fall 2019, Fall 2021
Systems of linear equations, vector spaces, linear transformations, matrices, and determinants. Only one of MATH 3083 and MATH 3093 will count for credit. Prerequisite: MATH 2554 or MATH 2043, with a grade of C or better.

 

MATH2584: Elementary Differential Equations, Fall 2017, Spring 2018, Spring 2019, Fall 2022
First and second order ordinary differential equations, the Laplace transform, and matrix systems of ordinary differential equations.

 

MATH2574: Calculus III, Fall 2017

Differential and integral calculus of several variables, and vector calculus.
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