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Development of an Undergraduate Course, "Applied Computer Vision," in an Electrical Engineering Technology Program

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2019 ASEE Annual Conference & Exposition


Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

A Technology Potpourri I

Tagged Division

Engineering Technology

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Paper Authors


Suranjan Panigrahi Purdue University-Main Campus, West Lafayette (College of Engineering)

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Dr. Panigrahi is a professor in the School of Engineering Technology at Purdue University, West Lafayette campus. He has 26 years of experience in teaching, research and administration. He has developed and taught courses in both engineering and engineering technology programs. Recently, he teaches courses related to applied computer vision and embedded systems in the Electrical and Computer Engineering Technology program. His research focuses on development and application of intelligent sensors and sensing systems for automation, inspection and quality control applications. He has special interests in graduate education and was the graduate coordinator of two different graduate programs at two universities. He has led the development of new graduate programs and has successfully supervised MS and Ph.D. students.He is a member of ASEE.

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Computer vision technology is gaining importance for a variety of applications ranging from sensing, inspection, quality control to automation applications with the advent of industry 4.0 and manufacturing 4.0. Generally, computer vision or related courses such as image processing courses have been offered at the graduate level in Engineering or computer Science or Engineering Technology programs. Thus, there was a need for developing an undergraduate level course in applied computer vision domain in the electrical and computer engineering technology students. This paper will describe the design of the course with the associated hands-on laboratory components. The key topics for the lecture of the course will be presented. The associated learning outcomes and the adopted active learning techniques will be elaborated. The design of different hands-on laboratory exercises involving computer programming, MATLAB-based image processing toolbox, and open source image processing software “Image J” will be discussed. Moreover, the incorporation of team-based mini-project and class project in the class will be presented. The overall experiences in offering the course as an experimental course for four time will be presented.

Panigrahi, S. (2019, June), Development of an Undergraduate Course, "Applied Computer Vision," in an Electrical Engineering Technology Program Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32653

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