Scientific Computing Courses @ Emory

Our group highly values teaching and offers a comprehensive set of courses on scientific computing, applied mathematics, mathematical modeling, and its applications. All our courses are taught in relatively small sizes, allowing close interactions with students.

Advanced Undergraduate Courses

  1. MATH 315: Numerical Analysis
  2. MATH 345: Mathematical Modeling
  3. MATH 347: Introduction to Nonlinear Optimization
  4. MATH 351: Partial Differential Equations
  5. MATH 352: PDEs in Action
  6. MATH 361&362: Probability & Statistics

Regularly Offered Graduate-Level Courses

  1. MATH 515: Numerical Analysis I (Numerical Linear Algebra)
  2. MATH 516: Numerical Analysis II
  3. MATH 517: Numerical Analysis III (Iterative Methods)
  4. CS555: Parallel Processing
  5. MATH 561: Matrix Analysis
  6. MATH 571: Numerical Optimization
  7. MATH 572: Numerical Partial Differential Equations

Selected Special Topics Graduate-Level Courses

  1. Structured Matrix Computation (Fall 2017)
  2. Bayesian Inverse Problems (Spring 2016)
  3. Advanced Numerical Linear Algebra Methods with Applications