{"title":"Design and analysis of a new undergraduate Computer Engineering degree – a methodoligical approach serving the future dynamically changing workplace","authors":"Wael Badawy","doi":"10.1109/ICEEM52022.2021.9480608","DOIUrl":null,"url":null,"abstract":"A new proposal from NATIONAL ACADEMIC REFERENCE STANDARDS (NARS-2018) to restructure engineering degrees including Computer Engineering. A transformation from 180 Credit hours with 165 Credit hours for a four years degree beyond a first-year named preparation year in engineering. This paper present a methodology to restructure programs to meet the marketplace. The new market prediction of a domination of Artificial Intelligence application in the industry by 2030, however there is a lower level of adoption. The slower adoption presents a challenge for a curriculum design as we aim to stabilize the course offering, generate market-ready students while being dynamic enough to produce graduate with knowledge for a dynamic marketplace once AI-related graduate are thought after from the industry.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Electronic Engineering (ICEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEM52022.2021.9480608","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
A new proposal from NATIONAL ACADEMIC REFERENCE STANDARDS (NARS-2018) to restructure engineering degrees including Computer Engineering. A transformation from 180 Credit hours with 165 Credit hours for a four years degree beyond a first-year named preparation year in engineering. This paper present a methodology to restructure programs to meet the marketplace. The new market prediction of a domination of Artificial Intelligence application in the industry by 2030, however there is a lower level of adoption. The slower adoption presents a challenge for a curriculum design as we aim to stabilize the course offering, generate market-ready students while being dynamic enough to produce graduate with knowledge for a dynamic marketplace once AI-related graduate are thought after from the industry.