**Meeting Times:** Tues and Thurs, 3:05-4:25

**Location:** College of Computing Building, CCB 102

**Instructor:** Edmond Chow

**E-mail:** (the best way to reach me)

**Office Hours:** Wednesdays 3-5 pm and by appointment (or drop by my office)

**TA:** Jee Choi (jee@gatech.edu)

This course will cover many of the major computational methods used in
numerical simulation in science and engineering. The goal is for students
to gain familiarity with these methods and to as much as possible
learn to "speak the language" of the physicist and of other application
domain scientists and engineers. This course helps prepare students in
high-performance computing for careers in large-scale numerical simulation
where codes are developed by interdisciplinary teams. This course will
also be of interest to graduate students in science and engineering
disciplines who are interested in numerical simulation. Topics to be
covered include: governing equations of science and engineering
(Schrodinger equation, Navier-Stokes equation, etc.), finite element method,
finite volume method, Monte Carlo methods, approximation techniques
used in scientific computing, molecular dynamics and other particle
simulation methods.

**Prerequisites**

Undergraduate or Graduate-level Numerical Methods, e.g., MATH 4640.

**Survey**

To better tailor the material for this course, please fill out this
survey, here.

**Topics**

- PDE governing equations
- Finite element and finite volume methods
- Large-scale numerical linear algebra
- Monte Carlo methods, Molecular dynamics, Brownian dynamics
- Numerical approximation methods

30% Exam 1: Thurs. Feb. 16 (in class)

30% Exam 2: Thurs. March 29 (in class)

30% Exam 3: Thurs. May 3, 11:30 am (exam week)

10% Class Participation

Project Option: If you choose to do a project, then your lowest grade on the exams will be replaced if your project grade is higher. Project reports are due April 30.

Exams are open-notes, but no books.

**Textbook**

There is no textbook for this course.

Georgia Tech College of Computing

KACB 1332

(404) 894-3086