A Two-Stage Heuristic Based Class-Course-Faculty Assigning Model for Increasing Department-Education Performance

This study proposes a two-stage class-course-faculty assigning model to increase the overall department-education performance. In this paper, both faculty and classes are classified into different groups based on teacherspsila specialties and coursespsila attributes; the allocating rules for using the classrooms and laboratories are formulated based on the attributes of the courses and the availabilities of the resources; and the class sizes are balanced and merged to decrease the number of elective courses opened to the students. The classified data and organized rules are processed by a heuristic driven process and two fitness functions. Conclusively, the proposed approach provides the advantages of enhancing teaching quality, making good use of student time, saving college budgets, and sharing departmental resources effectively. From the experimental results, there are about 90% of 168 courses assigned to the specific professional teacher. The teacherspsila and studentspsila expectations on teaching specific subjects and taking certain courses can be satisfied as nearly as possible.