Computer Engineering

Students can design their own four-course concentration within the major based on their personal academic and professional pursuits. This unique combination of courses works in concert with other co- and extra-curricular activities, including research experiences, internships, and a wide variety of opportunities in our student organizations. Advanced Topics offers the student the flexibility in curriculum choices to grow with their changing interests as they look forward to graduation, graduate school, and their professional endeavors.

This concentration focuses on project-based and intensive courses grounded in robotics, autonomy, real-time operating systems, and systems engineering, and includes methods to analyze, model, and control robotic mechanisms in the fundamentals of kinematics, dynamics and the design and implementation of motion trajectory planning algorithms. Additional topics include state estimation and dynamic parameter identification of a robotic system. Students will learn about embedded systems control, computer vision, localization and planning, mapping algorithms, and sensor integration into real-time operating systems. Students design, assemble, and program a scale-model autonomous, self-driving vehicle. The concentration will also provide the theoretical and practical basis required for understanding Digital Image Processing fundamentals and their applications on gray and colored images as it relates to autonomous robotic programming. 

The Digital Logic Design program provides students with a strong foundation in logic principles, practical experience in programming digital circuits and hands-on training in electrical component integration for a high-powered career in high tech. 

Embedded systems are designed to handle a particular task within a larger mechanical or electrical system. These complex systems are everywhere—in hybrid vehicles, aircraft, medical devices, traffic lights, factories, automobiles, communication switching systems, biomedical instruments, industrial robots, household appliances, and video game consoles.

The field of Machine Intelligence involves the disciplines of advanced machine learning, reasoning and self-correction, as well as the abilities of machines to perceive, move, manipulate, and communicate. Graduates will be prepared for a career in machine intelligence where they will develop programming strategies for machine learning and pattern recognition.