500 Level Courses
CEC 500: Special Topics. 0-4 credits.
Select contemporary topics in Engineering and Computing.Offered by Engineering & Computing. May be repeated within the degree for a maximum 6 credits.
CEC 501: Fundamentals of Computing, Engineering & Technology Education. 3 credits.
Aimed at educating future and current engineering faculty on basic concepts, ideas, and issues of computing, engineering, and technology (CET) education to prepare them for future professoriate career and/or help improve current teaching practices. The course material provides a broad introduction to CET education covering historical foundations, theories of learning, and current topics of interest. It focuses on key conceptual questions related to CET learning including what are the characteristics of CET cognition, how is it different than other content areas, what approaches work best for CET learning, how to use theory-driven approaches in education, and the role of technology, including learning analytics and educational data mining, in CET education.Offered by Engineering & Computing. May not be repeated for credit.
CEC 502: Teaching and Learning in Computing, Engineering & Technology. 3 credits.
Aimed at educating future and current engineering faculty on principles of how to design and implement computing, engineering, and technology (CET) courses. The course provides a theory-based introduction to course planning, curriculum design, and evaluation and assessment. It focuses on proven methodologies to improve CET teaching including active learning, problem-based learning, and cooperative learning. The course will focus on design of CET learning for development of technical skills, critical thinking skills, creative thinking skills, and communication skills, among students. The course will also introduce students to ABET accreditation.Offered by Engineering & Computing. May not be repeated for credit.
700 Level Courses
CEC 700: Doctoral Research Seminar in AI Foundations. 1-3 credits.
A PhD-level interdisciplinary seminar exploring foundational and emerging topics in artificial intelligence (AI). The course provides exposure to current research through student-led discussion of research papers and selected talks. It supports interdisciplinary engagement and early research exploration. Topics vary.
May be repeated within the degree for a maximum of 6 credits. Registration Restricted to no more than 30 students with priority registration given to first and second year students in the Computer Science and Statistical Science doctoral programs. Other CEC doctoral students may enroll with permission of the instructor.Offered by Engineering & Computing. May be repeated within the degree for a maximum 6 credits.
CEC 794: Graduate Internship. 0-3 credits.
Students with an Internship/Externship/Co-Op opportunity gain practical experience engaging in an experiential learning opportunity. Credited sections: students, under the direction of a faculty member, the student will prepare and submit a deliverable defined by the faculty member for a grade.Offered by Engineering & Computing. May be repeated within the term for a maximum 6 credits.
