PPT-More Computational Complexity

Shirley Moore CS43905390 Fall 2013 httpsvmoorepbworkscom August 29 2013 1 Agenda Announcements 3 min Recap previous class 6 min Discuss Fortnow article 6 min Reducibility 20 min. http://. uoregon.edu/~moursund/dave/index.htm. “Computational . thinking is a fundamental skill for everybody, not just for computer scientists. To reading, writing, and arithmetic, we should add computational thinking to every child’s analytical ability. 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]. 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. 119. . submissions. Paris ‘09: . 113 . (deadline . after. STOC) . Prague '06: . 87. . Aarhus '03: . 65 . Florence '00: . 63. . 18 junk submissions. 34. papers accepted. Second highest ever? Paris ’09 had . 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. Class Overview. web site: www.cs.vt.edu/~kafura/CS6604. Origins. Term first used by Seymour . Papert. (1996) . [Snow 2012]. “. In . both . cases the computer used as a tool effectively . leads . to a solution, but in neither does the . Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Allen Lee. Center for Behavior, Institutions, and the . Environment. https://. cbie.asu.edu. Computational Social Science. Wicked collective action problems. Innovation -> Problems -> . Innovation. ---. 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?. Toniann. . Pitassi. University of Toronto. 2-Party Communication Complexity. [Yao]. 2-party communication: . each party has a dataset. . Goal . is to compute a function f(D. A. ,D. B. ). m. 1. m. 2. Today’s class. 1) Lecture. 2) . Blackbox. presentations. 3) Guest Lecture: Jonathan Mills. O. rganized . complexity. organized complexity. study of organization. whole is more than sum of parts. Systemhood. Accelerating Applications with NVM Express™ Computational Storage 2019 NVMe™ Annual Members Meeting and Developer Day March 19, 2019 Prepared by Stephen Bates , CTO , Eideticom & Richard Mataya, Co-Founder & EVP, NGD Systems