{"title":"Innovations and Experiences in a Multidisciplinary Course on Image Formation and Processing: Simulation of a Corporate Environment","authors":"Jim Farison","doi":"10.18260/1-2-620-38646","DOIUrl":null,"url":null,"abstract":"Introduction For the past several 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. After joining Baylor University, a mid-sized private institution in Texas, ten years ago, the author initiated an elective engineering course in image formation and processing, and has sought to make the course more attractive, and relevant, each year. This paper describes the fall semester 2008 version of the course, called ELC 4353 Image Formation and Processing, also cross-listed as BME 4353, and reviews the development, innovations and assessment of the course. The issues addressed and evaluated include: the scope and balance; delivery, significant student involvement including three sets of student presentations; and a simulated company environment. These features of the course mechanics have been developed through experience over these years and to appeal to students with their diverse elective course selection criteria and technical interests.","PeriodicalId":175579,"journal":{"name":"2009 GSW Proceedings","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 GSW Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18260/1-2-620-38646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction For the past several 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. After joining Baylor University, a mid-sized private institution in Texas, ten years ago, the author initiated an elective engineering course in image formation and processing, and has sought to make the course more attractive, and relevant, each year. This paper describes the fall semester 2008 version of the course, called ELC 4353 Image Formation and Processing, also cross-listed as BME 4353, and reviews the development, innovations and assessment of the course. The issues addressed and evaluated include: the scope and balance; delivery, significant student involvement including three sets of student presentations; and a simulated company environment. These features of the course mechanics have been developed through experience over these years and to appeal to students with their diverse elective course selection criteria and technical interests.