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The LIG Keynotes

These lectures are intended to be given for a large audience (from students to experts). They will be held every 1st Thursday of the month at 2.PM. It is a monthly event.
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    • Quality

    Licence Creative Commons Abstraction in Education

    4 juillet 2019
    Durée : 00:48:13
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    Arnold L. ROSENBERG / LIG

    Arnold L. (Arny) ROSENBERG is a Distinguished University Professor Emeritus at the University of Massachusetts. His career has included: full-time positions at IBM Research, Duke University, and the University of Massachusetts; part-time teaching at Brooklyn Polytechnic Institute (now Polytechicnic Institute of New York), New York University, and Yale University; research positions at Colorado State University and Northeastern University; and sabbatical visits at the University of Toronto, the Technion (as a Lady Davis Visiting Professor), and Universite Paris-Sud (as a Fulbright Senior Research Scholar). He is a Life Fellow of the IEEE, a Lifetime Fellow of the ACM, and a member of the Society of the Sigma Xi. He is the author/coauthor of more that 180 research publications; of three books: "Graph Separators, with Applications" (with Lenny Heath of Virgina Tech); \The Pillars of Computation Theory"; soon, "Understand Mathematics, Understand Computing" (with Denis Trystram of Universite Grenoble).

    Résumé : 

    It is said that if you give a person a fish, you feed him/her for a day. If you teach the person how to fish, you feed him/her for a lifetime.
    This aphorism has been my roadmap, as a learner and a teacher.
    Inspired by the aphorism, I strive to:

    • educate rather than train
    • abstract from concrete and immediate to fundamental and essential

    * Inspire each student to become a mathematician or an informaticist, rather than just learn some mathematics or some informatics.
    * Equipped with understanding of "why?" rather than just "how?" a student can confront new situations with courage and creativity.

    1. Stress the importance of data representation in computing.
      Different representations ==> dramatically different algorithms
    2. Study parallel computing via dependency dags, not programs.
      Know sources of concurrency ==> recognize related computations
    3. Understand logical complexity|e - eg., self-reference - in systems
      Recognize related structures in, e.g., linguisticslogicnumber theory

    Mots clés : keynote lig

     Informations

    • Ajouté par : Gricad Vidéos
    • Mis à jour le : 1 janvier 2021 00:00
    • Chaîne :
    • Type : Conférences
    • Langue principale : Français
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