Computer Engineering Expertise

As computing power gets engineered into everything we own — from communications tools to the buildings we occupy and the vehicles we pilot — industry looks for skilled computer engineers. These high-salary, high-responsibility careers call on your training in Embedded System Design, Digital Logic Design and Machine Intelligence.

Take computing into everyday living

The B.S. in in Computer Engineering combines the hardware background and aptitude of electrical engineering with the firmware and software writing skills of computer science. Computer engineers design and build embedded microcontrollers, VLSI chips, analog sensors, mixed signal circuit boards, and operating systems — and guide how these parts integrate into the larger picture. Whether you select from one of five concentrations, you will graduate with a flexible degree and hands-on experience attractive to employers.

Computer engineers will play a central role in the development of the Internet of Things — helping to collect and exchange data on a massive scale across billions of connected devices (autonomous and electric vehicles, smart grid, situational awareness for smart health, crowdsourcing based services, and security for smart cities).

Program Highlights

The Department of Computer Engineering offers a comprehensive curriculum that favors a pragmatic, problem solving approach to both the body (hardware) and mind (software) components of computing. The program builds upon a mathematically rigorous foundation, while challenging you with physics and chemistry to round out your ability to frame problems and think analytically. Once you have the practice of these fundamentals, you will be more confident as you move on to the initial electrical engineering elements of the curriculum: circuits, digital logic design, systems and signals, and microcomputers. Your experience will culminate with a yearlong senior capstone project.

Concentrations

Advanced Topics

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.

Autonomous Robotic Systems

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.

Digital Logic Design

The Digital Logic Design program at ePolyTechnic F 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 System Design

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.

Machine Intelligence

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.

Bachelor of Science, Computer Engineering (Plan of Study)

Concentrations in Advanced Topics, Digital Logic Design, Embedded System Design, Machine Intelligence, Autonomous Robotic Systems

Course offering frequency subject to change

Freshman Year

Sophomore Year

Junior Year

Senior Year

Concentrations

Students select one concentration for twelve hours of credit.

Advanced Topics - Students choose nine (9) credits from courses in the CE concentrations and three (3) credits from Computer Engineering electives.

Arts, Humanities, and Social Sciences

The courses below are used to fill in the General Education requirements noted in the above four-year sequence.

Faculty members

Chair: Ali Shida, Professor

Toulfai Nashif, Associate Professor

Abdul Naisah, Associate Professor

Jorge Loumni, Associate Professor

Suleiman Foussela, Assistant Professor

Balasil Ubramaniyan, Assistant Professor

Denita Harish, Assistant Professor

Xirita Hisham, Assistant Professor