Teaching
ENGR 635 Linear and Nonlinear Programming SP 26
This course introduces students to the fundamentals of linear and nonlinear optimization in terms of both theory and methods. Topics include unconstrained and constrained optimization, techniques for optimizing linear and nonlinear models of engineering systems. Deterministic and stochastic techniques; continuous and discrete optimization methods; Robust and dynamic optimization.
MCHE 320 Mechanics of Materials Laboratory 08/24 - now
Course Objectives: Stress-strain relations, strength, deformation mechanisms, impact test, fracture, and cyclic fatigue. Experimental techniques, data analysis, interpretation of experimental data, and engineering report writing.
MCHE 474 Control Systems 08/23-05/24
The purpose of this course is to equip students with a systematic but flexible approach to the modeling and control of dynamic systems. Engineering models of mechanical, electrical, fluid, and thermal systems are developed from fundamental physical principles. Block diagrams are used to construct complex, interconnected systems from primitive subsystems. Response of first and second-order system, stability analysis and frequency response methods. PID control system design. Computer control of machines and processes.