PPT-Computational Thinking

District Wide Implementation in SD43 Patricia Gartland CEO and Superintendent Stephen Whiffin Director of Instruction School District No 43 Coquitlam Its Computational Thinking not Coding. By Daniel Lee. CSE 3. Fluency with Information Technology. (FIT). Computational . Thinking is thinking at multiple levels of abstraction. For solving problems. For designing systems. For understanding the power and limits of human and machine intelligence. 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. 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. Computational Thinking It represents a universally applicable attitude and skill set everyone, not justcomputer scientists, would be eager to learn and use. 34 March 2006/Vol. 49, No. 3 COMMUNICATIO 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. Computational thinking. How to use this resource. Presenting these exercises as a PowerPoint presentation allows you to use the resource in a variety of ways:. Projecting the exercise from the front of the class as a starter/plenary activity.. Computational . Thinking. Presentation for Katedra Matematiky. Tuesday March 15, 2016. by . Sonya M. Armstrong, Ph.D. . Fulbright Professor – Katedra matematiky. Univerzita Mateja Bela. Professor - Department of Mathematics & Computer Science . Allen Lee. Center for Behavior, Institutions, and the . Environment. https://. cbie.asu.edu. Computational Social Science. Wicked collective action problems. Innovation -> Problems -> . Innovation. web site: www.cs.vt.edu/~kafura/CS6604. Today’s Class. Meet faculty and researchers. From a variety of knowledge domains. With a variety of perspectives and experiences related to computational thinking. Zur. 2011A. Sunny Yellow . Flower. . Picture . by . Sharee . Basinger. , publicdomainpictures.net. About me.... 1988. 1991. 1996. 1996 . 2001 . 2003-2004. 2005 . Survey. Please answer the survey at:. ---. 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. web site: www.cs.vt.edu/~kafura/CS6604. NRC Report on Pedagogy for CT. Second of two workshops. Focused on K12 Education. Identified different approaches to the teaching of computational thinking. What do these approaches and ideas mean for the university level?. Enrico Pontelli. What is NSF?. DISSECT – grant from the National Science Foundation. An independent . federal agency . created . by Congress in 1950 . ". to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense. 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