ALGORITHMIC NARRATION FOR DEMYSTIFYING COMPUTER SCIENCE AND ENGINEERING UNDERGRADUATE PROJECTS

The importance of a well implemented academic project cannot be overemphasized, especially in the area of Computer Science and Engineering. This work is aimed at making Computer Science and Engineering final year undergraduate projects easier for both the students involved and the supervisor. This key objective is achieved through the evolution of algorithmic narrations. The four major areas covered are Research Abstracts, Literature Review, Introductory Chapter, and Reference Section. The corresponding algorithms developed to achieve these are: Research Abstracts Check Algorithm (RACA), Literature Bank Generation Algorithm (LBGA), Introductory Chapter Check Algorithm (ICCA) and Partial Reference Review Algorithm (PRRA). This work is based on practical experiences of the researchers on academic project supervision at both undergraduate and graduate levels, in Computer Science and Engineering. By way of evaluation, the algorithmic strategies presented in this work were applied in real life supervision of six undergraduate projects between August 2020 and April 2021. The overall project completion time is estimated to have been reduced by about 2 months, compared to the outcome of previous supervisions in the year 2019 to 2020. Thus, this work is expected to be very useful to both students and supervisors involved in undergraduate Computer Science and Engineering projects.