| This thesis develops an automated tool to schedule classrooms for the Speed School of Engineering. For years, this has been a process performed by hand, which is tedious and time consuming. Currently, there are only thirteen instructional classrooms available for the entire school of engineering. All of these rooms are shared among disciplines in some capacity. Using actual data from all three semesters of 2004, and the VBA programming language, a program was created using an algorithm that seeks to maximize the number of student-hours scheduled to place classes into classrooms. This program was run for each of the three semesters and the outputs are compared using the two different scheduling policies of the program, the "community" policy and the "territory" policy. Performance measures used to evaluate the policies are number of student-hours left unscheduled and total number of classes left unscheduled. Overall, the goal of the project is to provide a tool for the Speed School of Engineering to use for placing courses into classrooms using an economic based method. |
