Graduate Courses

Numerical techniques for computer-aided solution and analysis of systems using MATLAB. Emphasis on applications from engineering and the physical sciences. Topics covered may include non-linear equations, interpolation, integration and differentiation, and ordinary and partial differential equations. Knowledge of ordinary differential equations and linear algebra required.

Examines how to design experiments to gather engineering data with an emphasis on developing experiments and analyses that lead to statistically significant results. Various designs are discussed and their respective differences, advantages, and disadvantages are noted. A project to design an experiment in the relevant discipline is part of the course. Knowledge of statistics required.

Fundamentals of sensors, instrumentation, designing with electronics/computer hardware and software systems, and real-time programming for control and data collection. Emphasizes human-computer interface challenges and designing for the end user. Laboratory work involves circuits, electronics, sensor design and interface, building complete engineering instrumentation, and applications using LabVIEW/Arduino systems. Project work specific to graduate discipline. Knowledge of circuits and programming required. Fee: $50