The Computer, Electrical, and Software Engineering Department at Embry-Riddle’s Prescott campus offers a Bachelor of Science in Electrical Engineering, a Bachelor of Science in Computer Engineering and a Bachelor of Science in Software Engineering. 

The B.S. in Computer Engineering (BSCE) covers everything from analog electronic systems to high-level programming and operating systems. Students advance through courses that give them advanced knowledge in computing, programming languages, digital and analog circuits, digital computer design, telecommunication systems, microprocessor-based systems, embedded control systems, hardware/software systems integration, real-time systems, and software engineering.

The B.S. in Electrical Engineering (BSEE) has a systems-oriented curriculum of study that includes analog and digital circuits, communication systems, computers, control systems, electromagnetic fields, energy sources and systems and electronic devices. Students also specialize in avionics, preparing them for entry-level engineering positions in the aerospace industry. Emphasis on design and laboratory experience ensures that the Embry-Riddle Electrical Engineering graduate is in a preferred position to enter industry practice or graduate school after completing the program.

The B.S. in Software Engineering (BSSE) prepares students for positions working in a range of industry from aerospace companies to video game developers. Because of the focus on real-world, hands-on projects like the flight control of an autonomous aircraft or power control in a hybrid automobile, the students get to develop the knowledge, skills, and ways of thinking required to design and implement large software systems.

Visit the website of the Department of Computer, Electrical & Software Engineering


Submissions from 2017


Image and Information Fusion Experiments with a Software-Defined Multi-Spectral Imaging System for Aviation and Marine Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Ramnarayan Krishnamurthy, Surjith B. Singh, Akshay K. Singh, and Shivasankar Gunasekaran

Submissions from 2016


Software Defined Multi-Spectral Imaging for Arctic Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Vivek Angoth, Karthikeyan Mani, Kenrick Mock, Surjith B. Singh, Saurav Srivistava, and Chris Wagner