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Resources for Mathematics: Articles Related to Mathematics Education
Prepared by Boo Murray
National Center on Accessing the General Curriculum This work was funded by the U.S. Department of Education, Office of Special Education Programs (Cooperative Agreement #H326K02003). This report was developed by CAST through a subcontract agreement with the Access Center: Improving Outcomes for All Student K-8 at the American Institutes for Research. Fine-tuning of Algorithms Using Fractional Experimental Designs and Local Search Belarmino Adenso - Diaz
Escuela Superior de Ingenieros Industriales, Campus de Viesques, Universidad de Oviedo, 33204-Gijon (Spain) HTUadenso@etsiig.uniovi.es Manuel Laguna Leeds School of Business University of Colorado, Boulder, CO 80309-0419 HTUlaguna@colorado.edu Tel. (303) 492-6368 Fax. (303) 492-5962 Researchers and
practitioners frequently spend more time fine-tuning algorithms
than designing and implementing them. This is particularly true when developing heuristics and metaheuristics, where the “right” choice of values for search parameters has a considerable effect on the performance of the procedure. Visualization of Algorithms from Computational Geometry using QuickTime® Movies Jay Martin Anderson,
Franklin & Marshall College Free University of Bolzano-Bozen QuickTime®
movies provide students of computational geometry with a useful
pedagogical tool that helps them to follow, implement and analyze
algorithms. QuickTime movies can include explanatory text to support
the visualization, breakpoints to stop the visualization for student
interaction, and the ability to rewind, fast-forward and move
step-by-step through the visualization. QuickTime Virtual Reality
movies provide an additional element of interactivity.
We introduce here a suite of visualizations spanning many algorithms for many topics in computational geometry, offering thereby to stimulate discussion and debate on the pedagogical merits of this technique. |
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Presentation: The Department of Computer Science The Department of Computer Science is the youngest and the most rapidly growing department in the Faculty of Natural Sciences. More than half of its 28 department members joined the department in the last seven years. As a result, the department enjoys a vigorous and exciting research atmosphere in most of the main areas of computer science, while taking pride in maintaining a spirit of congeniality and collegiality.The department has also enjoyed a phenomenal rate of growth in the number of graduate (M.Sc. and especially Ph.D.) students, who currently number about 120. On September 2006 the department has moved into its new home, the Alon high-tech building , The new building allows further expansion in the number of faculty members and graduate students, which in turn will strength the ability to lead in several research areas. Academic calendar 2010 – 2011 Home page ...
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