A Course Planning Wizard based on Markov Decision Process

Abstract

Before registering for classes, college students typically consult their advisors, who often manage more than forty mentees, leading to long wait times. Scheduling appointments can be challenging, delaying students’ access to course recommendations. This research aims to develop a course selection wizard that assists Data Science and Analytics (DSA) students by analyzing the academic trajectories of past DSA students. The system will provide data-driven recommendations, streamlining the course selection process and reducing reliance on advisors.