400

This course prepares the senior Electrical and/or Computer Engineering student for the practical application of engineering principles to the senior design course and professional practice. Various skills that are of vital importance to the professional engineer are covered, including engineering ethics, teamwork, communication skills and problem-solving, with emphasis on the application of systematic design process, product life cycle management and reliability analysis. This course is the first part of the Capstone experience where the Capstone project is researched and developed. It must be taken in the semester directly preceding the semester ECEN 49600 is taken.

Topics central to Artificial Intelligence are covered, including knowledge representation, the predicate calculus, goal-directed and data-directed search techniques, and rule-based expert systems. Two languages for problem-solving is presented: LISP and PROLOG.

This course introduces the student to the modeling, identification, and control of robotic systems. The course focuses on the implementation of identification and control algorithms on a two-link robot. Topics include the mathematical modeling of robotic systems and the analysis, simulation, and implementation of both linear and nonlinear representations of such systems. The design and integration of sensors and actuators and algorithms for responding and controlling these devices will be pursued.

This course considers electronic circuits for conditioning and managing large electric power signals such as those found in power supplies, motor controls, and smart electrical grid devices. It covers switching functions for control; ac and dc power conversion; power semiconductor switching devices; motor control, and smart grid device design and operation.

This course covers the design and analysis of efficient electrical energy systems that minimize adverse environmental impact. Topics include green generation technologies such as solar and wind as well as new power transmission and distribution architectures such as microgrids and the use of smart-grid technologies for autonomous control.

This course is the culminating project experience in the Electrical and Computer Engineering (ECE) programs. Students will work in teams to implement solutions to a realistic engineering problem initially researched and developed in ECEN 40000. Such solutions must demonstrate the synthesis of knowledge gained from foundational, core and elective courses in the program, must meet identified functional requirements, and must consider contextual factors such as safety, environmental and economic concerns. This course must be taken in the student's final semester in the program.

This course is an electrical and/or computer engineering internship work experience. Students acquire practical experience through an industry partner company that will assign relevant and meaningful tasks to complement concepts and theory learned in the classroom. This course will help prepare the student for a future role as a professional engineer. The student must apply for and be accepted by the employer for an internship position, and must work a minimum of 210 hours to receive 3 credits. This course is repeatable.

This course is designed to meet the needs of Computer Engineering majors wishing to study an advanced topic not found in the curriculum