{"title":"设计和分析一个新的本科计算机工程学位-一个方法论的方法服务于未来动态变化的工作场所","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":"{\"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}","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}
Design and analysis of a new undergraduate Computer Engineering degree – a methodoligical approach serving the future dynamically changing workplace
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.