- Department of Aerospace Engineering and Mechanics
- Department of Chemical and Biological Engineering
- Department of Civil, Construction and Environmental Engineering
- Department of Computer Science
- Department of Electrical and Computer Engineering
- Department of Mechanical Engineering
- Department of Metallurgical and Materials Engineering
General Engineering Studies Courses
Graduate courses are offered on a regular basis in some departments, as indicated in the course listings. However, all graduate courses are taught only upon sufficient demand. In the following course listing, each description contains a set of parentheses immediately preceding the semester hours. The first number within the parentheses indicates the number of contact hours per week in lecture, recitation, or seminar. The second number indicates the number of contact hours per week in laboratory.
The College of Engineering requires that a grade of "C" or better be earned in all prerequisite courses.
Additional information is in the Admission Criteria section and the Degree Requirements section of this catalog.
GES courses are interdisciplinary and may be taken to meet individual program requirements.1
Probability and basic statistical concepts. Discrete and continuous distributions; the central limit theorem; sampling distributions; point and interval estimation; hypothesis testing; regression and correlation analysis; analysis of variance.
This course provides a graduate level overview of linear algebra and vector analysis. Topics covered include; linear simultaneous equations, eigenvalues and eigenvectors, matrix functions, computer techniques, and transformations, vector calculus, the Laplacian, and integral theorems such as the theorems of Green and Stokes.
This course examines the solution of partial differential equations by focusing on three specific equations: (1) the heat equation, (2) the wave equation, and (3) Laplace 's equation. Topics covered include: Fourier transforms, Sturm-Liouville problems, classification of partial differential equations, Bessel functions, and numerical methods for solving partial differential equations.
An introduction to nonlinear partial differential equations. Exact solutions, approximate solutions, and numerical solutions will all be considered. The course content is supported by numerous applications.