The PERCEPOLIS project aims to design and create a web application that employs a set of algorithms to personalize and optimize a student's path
to graduation. The algorithms automate and streamline the academic advising process, an area that has largely gone untouched through the rise
of technology over the past two decades. The algorithms are designed to help the student tailor their college career and degree to their interests
while also ensuring that they complete their degree quickly, but at a pace right for them. The application consists of four algorithms, each
enumerated below. The repositories for the project can be found below, however access is required for viewing.
Student Performance Evaluation
Evaluates a student's past performance and calculates a suggested credit hour limit
Course Selection and Optimization
Selects courses based upon the student's degree requirements, career interests, and course availability. Once all courses in the
path to graduation have been selected, the algorithm puts the courses into semesters in an optimized ordering that represents the
fastest path to graduation.
Finds all possible schedules for a student for the upcoming semester. Once a schedule has been selected, the student is auto-enrolled,
eliminating the need for the student to stress about enrollment times.
Evaluates a student's past performance and that of similar students to determine the probability that the student will pass a given course.
Nic Dobbins - Master's Student/Server-side Lead
Sanfan Liu - Master's Student/Server-side Developer