PDF-Computational mathematics and algorithms

SAND20073070CtpwwwcssandiagovpbbocheProject inceptionFY032 short coursesVon Karman Institute 2003 VA Tech 2005Originator and organizer2007 SIAM CSEwith M Shashkov2006CSRI PDE work. Batmen Camp. Outreach Program. Dr. Suzanne . Shontz. Department of Mathematics and Statistics. Department of Computer Science and Engineering. Center for Computational Sciences. Graduate Program in Computational Engineering. Enrico Pontelli. Department of Computer Science. New Mexico State University. The buzzword…. “Computational Thinking” . The thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information processing agent [Wing-. Abstraction. Abstraction. Goals. What is abstraction?. Is it teachable?. How to assess?. Abstraction has two facets. “Removing detail to simplify and focus attention” [p38]. “identifying the common core or essence” [p38]. Describing what you know. Contents. What are they and were do we find them?. Why show the algorithm?. What formalisms are used for presenting algorithms?. Notes on notation. Algorithmic performance. Where do we find them. Jeannette M. Wing. Assistant Director. Computer and Information Science and Engineering Directorate. National Science Foundation. and. President’s Professor of Computer Science. Carnegie Mellon University. Science and Industry Advance with Mathematics . International and Interdisciplinary . Members hail from . more than 100 countries . and work within industry, laboratories, government, and academia. . Ovidiu P. â. rvu. , PhD student. Department of . Computer Science. Supervisors: Professors . David Gilbert. and . Nigel Saunders. Why?. 2. Predicted. behaviour. Simulations. Natural. biosystem. Computational. NRC Report on Nature/Scope of CT. web site: www.cs.vt.edu/~kafura/CS6604. NRC Report. Sponsored by National Research Council. First of two reports. Not intended to produce or reflect a consensus among participants. Allen Lee. Center for Behavior, Institutions, and the . Environment. https://. cbie.asu.edu. Computational Social Science. Wicked collective action problems. Innovation -> Problems -> . Innovation. Presented by. Derrick W. Smith, Ed.D., COMS. University of Alabama in Huntsville. Recommendations Based on Research. Students can learn both concepts and skills by solving problems.. Giving students both an opportunity to discover and invent new knowledge and an opportunity to . District Wide Implementation in SD43. Patricia Gartland, CEO and Superintendent . Stephen Whiffin, Director of Instruction. School District No. 43 (Coquitlam). It’s Computational Thinking – not Coding…. into . the Mathematics Classroom. Chris . paragreen. Bernie . mcgrath. I.T. subjects at KHS. No stand-alone subjects until . Yr. 10. Teaching of ICT “integrated into the curriculum”. Design technologies covered in the Arts. ---. An Algorithmic View. Lecture 1: Introduction. Instructor: Yusu Wang. Lecture 1: Introduction. What is topology. Why should we be interested in it. What to expect from this course . Spring 2011. Space and Shape. Thinking Decomposition Pattern Recognition Abstraction Algorithms COMPUTATIONAL THINKING Computational Thinking refers to the processes/approaches which are used to formulate a problem in a manner s