Online class scheduling and faculty loading system within a decision support framework / Darlyne I. Brigoli and Eric P. Ortega.
Material type:
TextPublisher: Cebu City, Philippines : c2014Description: v, 73 leavesContent type: text Media type: unmediated Carrier type: volumeSummary: Summary: Each semester is a fresh start and course offerings are completely remade. Developing course plans to accommodate student enrollment needs has a recurring task of department heads and has never been easy. This paper aims to create an online scheduling model timetabling tasks which addresses academic of department heads responsibilities of establishing correct faculty teaching loads. The scheduling model is articulated to allow the defining of teaching assignments to the tome slot system by applying knowledge based approach, appropriate heuristic functions and rule sets to load correct courses to faculty; and to allow a search for the best slot on multiple feasible slots within the decision-support framework. Decision support framework facilities administrative priorities to resolve conflicts on slots representing deviations from the assignment criteria.
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Thesis
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Periodicals | T B76on 2014 (Browse shelf) | Not for loan | 3UCBL000024362 |
Institutional Faculty Research (College of Teacher Education ) -- University of Cebu-Banilad, Cebu City.
Includes bibliographical references (leaves 55-59).
Summary: Each semester is a fresh start and course offerings are completely remade. Developing course plans to accommodate student enrollment needs has a recurring task of department heads and has never been easy. This paper aims to create an online scheduling model timetabling tasks which addresses academic of department heads responsibilities of establishing correct faculty teaching loads. The scheduling model is articulated to allow the defining of teaching assignments to the tome slot system by applying knowledge based approach, appropriate heuristic functions and rule sets to load correct courses to faculty; and to allow a search for the best slot on multiple feasible slots within the decision-support framework. Decision support framework facilities administrative priorities to resolve conflicts on slots representing deviations from the assignment criteria.
Computer Studies : Information System
English
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