iScheduler: intelligent scheduling system for academic institutions

Resource management and intelligent scheduling is a complex problem for university administrators and especially for smaller academic units. These units and institutions often are unable to accurately predict future scheduling needs, because they mainly rely on historical schedule and institutional memory as opposed to actionable data. This leads to a variety of issues. For example, when courses have to be cancelled at the last minute due to low enrollment the cascading effects impact student progress towards graduation, retention, faculty schedule, etc. In this poster, we present iScheduler, a web-based tool, to allow unit administrators to create data-informed course schedules, reducing the need for unplanned, last minute cancellation of courses. iScheduler was initiated as a class project and partially implemented as part of a graduate student project.