Pittsburgh, Pennsylvania
June 22, 2008
June 22, 2008
June 25, 2008
2153-5965
Multidisciplinary Engineering
12
13.747.1 - 13.747.12
10.18260/1-2--3534
https://peer.asee.org/3534
388
Dr. Jim Farison is currently professor and associate chair of the ECE Department at Baylor University, and is also administratively responsible for Baylor's multidisciplinary B.S. in Engineering program. He was a founding member and serves currently as the past chair of ASEE's Multidisciplinary Engineering Division, and is a member of the ASEE Accreditation Activities Committee. He received his B.S.E.E. from The University of Toledo and his M.S. and Ph.D. from Stanford University, before returning to serve on the faculty at UT in the EE and then the Bioengineering departments, including 10 years as dean of engineering in between, before moving to Baylor in 1998. He is currently a member of the ABET Engineering Accreditation Commission, a fellow of ASEE, a senior member of IEEE, and holds PE registration in Ohio and Texas.
Innovations and Experiences in an Engineering Course Called Image Formation and Processing
Introduction
For the past many years, the author’s favorite specialization for teaching and research has been the field of imaging and image processing. Imaging technology and image processing methods have changed dramatically over that period; and, so have students. At his current institution with moderate engineering enrollment, the author initiated an elective engineering course in image formation and processing, and has sought to make the course more attractive each year to gain sufficient student enrollment so that it can continue to be offered on an annual basis.
This paper describes the 2007-08 version of the course, called EGR 4353 Image Formation and Processing, and reviews the development, innovations and assessment of the course. The issues addressed and evaluated include: scope and balance; delivery, including three student presentations; a simulated company environment; and significant student involvement, including assessment, as features of the course mechanics that have been developed by experience and to appeal to students with their diverse elective course selection criteria and interests.
Course Context
For context, the “standard” mechanics of this course are outlined in this first section. The course is at the senior level, but carries graduate credit for graduate student enrollment (with an additional course requirement, described later). It was first offered as a Special Topics course in fall 2002; then, since Fall 2004, it has been the established course EGR 4353 Image Formation and Processing and has been offered by the author once a year for the past four consecutive years. It is listed and offered as a three-credit course, and has been offered both on a three-times- a-week, 50-minute schedule, and a twice-a-week, 75 minute schedule.
The current catalog description is:
EGR 4353 Image Formation and Processing Introduction to image formation systems that provide images for medical diagnostics, remote sensing, industrial inspection, nondestructive testing, materials evaluation, and optical copying. Image processing, including image enhancement, analysis, and compression. Student specialization through assignments and project.
The prerequisite is a three-credit junior engineering lecture course called Signals and Systems; a co-requisite is a three-credit junior statistics lecture course called Statistical Methods, taught by our Statistics Department. Both of those courses are required for all engineering students (ECE, ME and Engineering) at our institution. Natural curricular and other influences have resulted in most enrollees having been undergraduate ECE students, but the prerequisites make the course enrollment available for all of our engineering students (or others taking an engineering minor) and some diversity has been achieved.
Farison, J. (2008, June), Innovations And Experiences In An Engineering Course Called Image Formation And Processing Paper presented at 2008 Annual Conference & Exposition, Pittsburgh, Pennsylvania. 10.18260/1-2--3534
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