June 22, 2008
June 22, 2008
June 25, 2008
13.747.1 - 13.747.12
Innovations and Experiences in an Engineering Course Called Image Formation and Processing
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.
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. https://peer.asee.org/3534
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