Date of Award
Master of Science in Computer Science
School of Computer Science and Engineering
First Reader/Committee Chair
Dr. Josephine Mendoza
The main aim of the course advising system is to build a course recommendation path for students to help them plan courses to successfully graduate on time. The recommendation path displays the list of courses a student can take in each quarter from the first quarter after admission until the graduation quarter. The courses are filtered as per the student’s interest obtained from a questionnaire asked to the student.
The business logic involves building the recommendation algorithm. Also, the application is functionality-tested end-to-end by using nightwatch.js which is built on top of node.js. Test cases are written for every module and implemented while building the application.
Dhumal, Sayali, "WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM" (2017). Electronic Theses, Projects, and Dissertations. 605.