Individual research will involve guided research in the areas of cybersecurity and AI, and their intersection. 

Teams or individuals apply the knowledge and skills acquired throughout the MS program to a faculty supervised robotics project.

Provides the mathematical background for two of the pillars of modern data science: linear algebra and applied probability.

Covers a number of advanced topics in programming methods, data management, distributed computing, and advanced algorithms used in typical engineering applications. Credit will not be awarded for ECE 6122 and ECE 4122.

Concurrent engineering principles; robotic manipulator kinematics, dynamics, and control; applications of robots in industry, medicine, and other areas; team projects and hands-on laboratory experience.

Processors, chipsets, busses, and I/O devices for high-ended embedded systems. Embedded operating systems; device drivers and applications for embedded systems.