Yeni bir yetenek tabanlı üniversite ders zaman çizelgeleme problemi için çok amaçlı bir matematiksel programlama modeli.

The university course timetabling is a tactical level problem that almost all academic departments encounter before each semester. Nowadays, in order to meet some standards, set by educational accreditation agencies within the scope of higher education quality assurance, it is required to generate efficient course timetables, which ensure optimal distribution of basic capabilities. Actually, these capabilities should be first specified based on the learning outcomes defined by lecturers for each course that are also associated with program outcomes and are aimed to be acquired by all of the students. Based on this motivation, a multi-objective mixed-integer non-linear programming model is developed for a novel capability-based course timetabling problem. Its validity and practicality are tested on a real-life application in an Industrial Engineering Department. When the balanced solutions provided by compromise and fuzzy goal programming techniques were compared with the existing schedules of the previous years, it was revealed that significant improvements could be achieved in terms of several conflicting objectives (i.e., optimal capability distribution over the timetable, acquisition of maximum number/variety of different capabilities by the students, meeting expectations of lecturers by minimizing total temporal difference between the periods his/her courses are assigned, total penalty cost related to soft constraints). [ABSTRACT FROM AUTHOR]