We present experimental results of solving mathematical models, using very efficient complete and incomplete techniques, for designing balanced academic curricula. Solutions to these models give curricula with academic load for each period as similar as possible. Based on this work, a software tool has been developed to help administratives as well as students in the planning of academic curricula. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Castro, C., Crawford, B., & Monfroy, E. (2007). A quantitative approach for the design of academic curricula. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4558 LNCS, pp. 279–288). Springer Verlag. https://doi.org/10.1007/978-3-540-73354-6_31
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