Restriction: must be Aerospace Engineering junior or senior.

Prerequisite: ENAE455 or ENAE457

Prerequisite: ENAE311; ENAE202; ENAE432; MATH240, 246; Computer programming experience either in MATLAB, FORTRAN, C++, or Python.

Restriction: Must be in Engineering: Aerospace program.

An introduction to Computational Fluid Dynamics (CFD), with an emphasis on the application of CFD to predict fluid flow behavior for basic and moderately complex geometries. Introduces students to the entire process of CFD from grid generation, application of CFD solvers, and post-processing using state-of-the-art commercial software. Finite difference and finite volume methods, explicit and implicit schemes, solutions of elliptic, parabolic, and hyperbolic equations. Additionally, students will be provided with a fundamental understanding that will enable them to choose the right CFD tools, evaluate, and CFD results.

Restriction: Must be a student with junior status.

This course will introduce students to the various fundamental key aspects related to offshore wind. The first part of the course will cover the basics of meteorology related to wind and waves and then how wind turbines are able to change the translational kinetic energy in the wind into rotational kinetic energy of the blades. The second portion concerns the structures of offshore wind turbines and how they are installed. Thethird portion then looks at how the turbine is controlled to convert therotational kinetic energy to electricity in a safe and efficient manner. The fourth portion specializes in the environmental and financial issues associated with offshore wind farms. Finally the longterm operations and maintenance of individual turbines and wind farms will be explored. Successful completion of this course should be sufficient to enable entry into the off shore wind industry while also encouraging the student to examine each of these five areas in more detail.

Prerequisite: A programming course such as ENAE202 or similar and a linear algebra course such as MATH240 or MATH461 or similare; or permission of instructor. Restriction: Must be a student in the Aerospace Engineering major. All other students would need to obtain permission from the instructor.

Overview of problems, applications, and methods for autonomous multi-robot swarms, including coordination, cooperation, navigation, planning, control, and distributed sensing. This course will also cover different organizations of multi-robot swarms and the concept of emergent behavior. Assignments will involve programming the behavior of multi-robot swarms in simulation and in testbeds.

Prerequisites: ENAE311 and MATH246. Cross-listed with ENAE682. Credit only granted for ENAE488P or ENAE682.

Hypersonic shock and expansion waves, Newtonian theory, Mach methods, numerical solutions to hypersonic inviscid flows, hypersonic boundary layer theory, viscous interactions, numerical solutions to hypersonic viscous flows. Applications to hypersonic vehicles.