Courses

Computational Statistics:

1. Stochastic Simulation method in Engineering and Bayesian Computation (CEE786)

Course project: An efficient Bayesian solution of inverse problems based on stochastic sparse grid method. (ppt)

2. Bayesian Statistics and Data Analysis (ORIE 678)

Course project: A Bayesian inference approach to the inverse heat conduction problem. (pdf, ppt)

3. Computational Intensive Statistic Inference (BTRY 6520)

4. Applied Stochastic Processes (ORIE 6500)

5, Effective use of high performance computing (CIS 405)

Materials:

1. Quantum Mechanics I (CHEM 793)

2. Introduction to Solid State Physics (PHYS454)

3. Atomistic Modeling of Materials (MAE 715)

Course Project: Ab-initio study of the work functions o element metal surfaces. (pdf, ppt)

4. Mechanical Properties - Materials, Process and Design (MSE 582)

Mechanics:

1. Continuum Mechanics & Thermodynamics (TAM751)

2. Fundamental Fluid Dynamics & Aerodynamics (MAE 601)

3. Solid Mechanics I (TAM 663)

4. Methods of Applied Math II (TAM 611)