400
This course prepares the senior 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. The course surveys a range of application areas in which Computer Engineers provide solutions such as industrial automation and healthcare systems, with emphasis on the application of systematic design process, product life cycle management and proficient use of developer tools. 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.
3
Prerequisites
ECEN 31000 and ECEN 32000
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.
3
Prerequisites
MATH 31000 and CPSC 21000
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.
3
Prerequisites
ECEN 41000, CPSC 24500, CPSC 31500, or CPSC 47000
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.
3
Prerequisites
ECEN 35000 and ECEN 37000
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.
3
Prerequisites
ECEN 38000
This first course in the capstone sequence for Electrical Engineering teaches students how to identify an engineering problem, research prior work, evaluate alternatives in light of prior week, formulate and refine a proposal, and initiate a design. It also offers students perspectives on ethical and professional engineering practice and engages them in ethical decision-making. The work students do in this course prepares them for the second part of the capstone in which they implement their design.
3
Prerequisites
Completion of the Electrical Engineering Core Coursework
This second course in the capstone sequence for Electrical Engineering teaches students how to refine a problem solution, build it, test it, identify shortcomings, and suggest improvements. The work students do in this course builds upon their progress in the first part of the capstone in which they identified a problem and proposed a solution.
3
Prerequisites
ECEN 49600
This first course in the capstone sequence for Electrical Engineering teaches students how to identify an engineering problem, research prior work, evaluate alternatives in light of prior work, formulate and refine a proposal, and initiate a design. It also offers students perspectives on ethical and professional engineering practice and engages them in ethical decision-making. The work students do in this course prepares them for the second part of the capstone in which they implement their design.
3
Prerequisites
Completion of all Electrical Engineering Core Coursework
This second course in the capstone sequence for Electrical Engineering teaches students how to refine a problem solution, build it, test it, identify shortcomings, and suggest improvements. The work students do in this course builds upon their progress in the first part of the capstone in which they identified a problem and proposed a solution.
3
Prerequisites
ECEN 49700
This course is designed to meet the needs of Computer Engineering majors wishing to study an advanced topic not found in the curriculum
1-3
Prerequisites
Consent of the department chairperson. To qualify for an Independent Study, a student must have successfully completed 60 credit hours, at least 12 of which were earned at Lewis, and have earned at Lewis a minimum 3.0 cumulative GPA.