Design and implementation of a database driven cloud computing for university course scheduling, ordering and allocation management system

Description

Abstract Lecture timetabling is a very important process in any educational institution. It is an open-ended program in which courses must be arranged around a set of time slot’T’ and remains so that some constraints are satisfied. It constitutes a class of difficult-to-solve optimization problems that lacks analytical solution method. Data gathering on the current system was analyzed to create a requirement definition for the improved timetable system. Literature review was carried out to search the best approach that can help to solve the problem in the timetable system. Genetic Algorithm has been implemented in the Timetable Management System. This is because Genetic Algorithm is able to produce a feasible timetable system.  HTML, CSS, Bootstrap (CSS framework) and JavaScript programming language was used at the front-end to ensure responsiveness for all devices and enhanced user experience. In addition, PHP programming language was used in developing the back-end solution. MySQL database was used as the database.