A Survey of Undergraduate Project Topics in Computer Science at the University of Botswana

G. Mosweunyane, N. Motlogelwa, G. Malema
{"title":"A Survey of Undergraduate Project Topics in Computer Science at the University of Botswana","authors":"G. Mosweunyane, N. Motlogelwa, G. Malema","doi":"10.1109/ICONIC.2018.8601086","DOIUrl":null,"url":null,"abstract":"Model curricula such as ACM/IEEE recommend that characteristics of students graduating in Computer Science should include project experience. In line with these recommendations, students in their fourth year of undergraduate study in the Computer Science department at the University of Botswana have to complete a major project as part of fulfilling the requirements for the award of a degree. The project gives students the opportunity to implement some of the theories and techniques learnt during the course of their programme of study. Students‘ choice of project topics therefore heavily depends on what the curriculum offers in terms of diversity of course content and techniques taught. This paper presents an analysis of 154 students’ projects in the Computer Science department at the University of Botswana for the period 2013–2016 with a particular focus on the topic trends and issues of diversity and relevance to both the local and international context. The topics’ list is categorized using the Agglomerative Hierarchical Clustering method. The analysis of titles and abstracts shows an inclination towards web-based systems and mobile applications that are relevant to the local context. Also, the titles and abstracts do not reveal core Computer Science areas such as algorithms, machine learning and security. Trending topics in Computing, which are also typically done as project topics, also seem not to feature. To reveal an effective categorization and assess comparability to international trends the rest of entire project document (body) needs to be analysed.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIC.2018.8601086","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

Model curricula such as ACM/IEEE recommend that characteristics of students graduating in Computer Science should include project experience. In line with these recommendations, students in their fourth year of undergraduate study in the Computer Science department at the University of Botswana have to complete a major project as part of fulfilling the requirements for the award of a degree. The project gives students the opportunity to implement some of the theories and techniques learnt during the course of their programme of study. Students‘ choice of project topics therefore heavily depends on what the curriculum offers in terms of diversity of course content and techniques taught. This paper presents an analysis of 154 students’ projects in the Computer Science department at the University of Botswana for the period 2013–2016 with a particular focus on the topic trends and issues of diversity and relevance to both the local and international context. The topics’ list is categorized using the Agglomerative Hierarchical Clustering method. The analysis of titles and abstracts shows an inclination towards web-based systems and mobile applications that are relevant to the local context. Also, the titles and abstracts do not reveal core Computer Science areas such as algorithms, machine learning and security. Trending topics in Computing, which are also typically done as project topics, also seem not to feature. To reveal an effective categorization and assess comparability to international trends the rest of entire project document (body) needs to be analysed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
波札那大学计算机科学本科专题调查
ACM/IEEE等示范课程建议,计算机科学专业毕业生的特点应包括项目经验。根据这些建议,博茨瓦纳大学计算机科学系本科四年级的学生必须完成一个主要项目,作为完成学位授予要求的一部分。这个项目让学生有机会运用他们在学习过程中所学到的一些理论和技术。因此,学生对项目主题的选择在很大程度上取决于课程提供的课程内容的多样性和所教授的技术。本文对2013-2016年期间博茨瓦纳大学计算机科学系154名学生的项目进行了分析,特别关注主题趋势和多样性问题,以及与当地和国际背景相关的问题。使用聚集分层聚类方法对主题列表进行分类。对标题和摘要的分析表明,人们倾向于基于网络的系统和与当地环境相关的移动应用程序。此外,标题和摘要也没有揭示核心的计算机科学领域,如算法、机器学习和安全。计算机领域的热门话题,通常也是作为项目主题来做的,似乎也没有特色。为了揭示有效的分类和评估与国际趋势的可比性,需要分析整个项目文件(主体)的其余部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
M-Government Adoption Framework for Least Developed Countries: The Case of Malawi Rule-based Control Strategy for a River-based Grid-connected Hydrokinetic System A Survey on Spectrum Handoff Algorithm for Continuous Connectivity Services and Applications Security in IoT Enabled Networks Cloud Robotic Architectures: Directions for Future Research from a Comparative Analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1