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Students must take a minimum of 15 credits (5 courses) worth of technical electives; at least two must begin with a MAE prefix. If a student takes MAE 1010 within the first 30 credits of the Pre-Professional Program, they are required to take 12 credit hours (4 courses) worth of technical electives.
CS 5000 - Theory of Computability (3)
CS 5050 - Advanced Algorithms (3)
CS 5110 - MultiAgent Systems (4)
CS 5200 - Introduction to Distributed Systems (4)
CS 5300 - Compiler Construction (4)
CS 5500 - Parallel Programming (4)
CS 5600 - Intelligent Systems (4)
CS 5665 - Introduction to Data Science (3)
CS 5680 - Computer Vision: Foundations and Applications (3)
CS 5700 - Object-Oriented Software Development (4)
CS 5800 - Introduction to Database Systems (3)
ECE 3710 - Microcontroller Hardware and Software (4)
ECE 5110 - Fundamentals of Electric Power Systems (3)
ECE 5230 - Spacecraft Systems Engineering (3)
ECE 5240 - Space System Design (3)
MAE 5020 - Finite Element Methods in Solid Mechanics I (3)
MAE 5040 - Experimental Solid Mechanics (3)
MAE 5060 - Mechanics of Composite Materials I (3)
MAE 5310 - Dynamic Systems and Controls (3)
MAE 5320 - Mechatronics (4)
MAE 5330 - Small Unmanned Aircraft Systems (3)
MAE 5340 - Introduction to Planning and Control for Mobile Robots (3)
MAE 5350 - Kinematics (3)
MAE 5370 - Optimization for Engineers (3)
MAE 5420 - Compressible Fluid Flow (3)
MAE 5430 - Advanced Thermal-Fluids (3)
MAE 5440 - Computational Fluid Dynamics (3)
MAE 5450 - Hybrid Energy (3)
MAE 5500 - Aerodynamics (3)
MAE 5510 - Dynamics of Atmospheric Flight (3)
MAE 5530 - Space System Design (3)
MAE 5540 - Propulsion Systems (3)
MAE 5560 - Dynamics of Space Flight (3)
MAE 5670 - Fracture Mechanics (3)
MATH 5110 - Differential Geometry (3)
MATH 5270 - Complex Variables (3)
MATH 5340 - Theory of Linear Algebra (3)
MATH 5410 - Methods of Applied Mathematics (3)
MATH 5420 - Partial Differential Equations (3)
MATH 5460 - Nonlinear Dynamics (3)
MATH 5610 - Computational Linear Algebra (2)
MATH 5620 - Numerical Algorithms for Approximate Solutions of DE (2)
MATH 5710 - Introduction to Probability (3)
MATH 5760 - Applied Stochastic Processes (2)
MATH 6640 - Optimization (3)
STAT 5200 - Analysis of Designed Experiments (3)
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