PPT-Computing Research and Education

at The University of Pittsburgh Physics Econ Math Bio Chem Social sciences Pub Health Eng Medical school The Pittsburgh Supercomputing Center School of Information Science Department of . Hen-I Yang, PhD Candidate. Computer and Information Science and Engineering Department. University of Florida. May 1, 2008. Pervasive computing. Source: Mobile Computing “Introduction to Pervasive Computing” lecture. ideas. CS 498: Spring 2017. Amit, Elena, & Sole. Next-generation computing paradigms. The . Defense Advanced Research Projects Agency (DARPA). . “... . i. n . recent years even the best computer architectures haven’t been able to keep up with demand for the kind of simulation processing power needed to handle exceedingly complex design optimization and related problems.. Symposium on Big Data Science and Engineering. Metropolitan State University, Minneapolis/St. Paul, Minnesota . October 19 2012. Geoffrey Fox. gcf@indiana.edu. . Informatics, Computing and Physics. Indiana . Symposium on Big Data Science and Engineering. Metropolitan State University, Minneapolis/St. Paul, Minnesota . October 19 2012. Geoffrey Fox. gcf@indiana.edu. . Informatics, Computing and Physics. Indiana . The . mission. of Computing Research Association's . Computing . Community . Consortium . (CCC) is . to . catalyze. . the computing research community . and . enable . the pursuit of innovative, high-impact research. . The . mission. of Computing Research Association's . Computing . Community . Consortium . (CCC) is . to . catalyze. . the computing research community . and . enable . the pursuit of innovative, high-impact research. . Sources: D. Jensen. “Research Methods for Empirical Computer Science. .”. . Paul . R. . Cohen. . “Empirical . Methods for Artificial . Intelligence”. . Smithsonian Institute. . The Library of Congress. ITS Research Computing. Mark Reed. Overview – Research Computing. Resources. Services. Projects. ReCo Resources. Computational Resources. compute clusters: Longleaf, Killdevil, . Dogwood. Special purpose servers: . Information Technology. Virginia Tech. www.arc.vt.edu. . ARC . Personnel. Associate VP for Research Computing: Terry Herdman (herd88@vt.edu). Director, HPC: Vijay Agarwala (vijaykag@vt.edu). Director, Visualization: Nicholas Polys (npolys@vt.edu). Eric Michielssen. Center for Network and Storage-Enabled Collaborative Computational . Science. Workshop – May 18, 2017. Advanced Research Computing. CONSULTING SERVICES. CSCAR: C. onsulting for . S. 11:10 to 11:50. Jane Waite . jane.waite@computingatschool.org.uk. Sharing research for classroom practise. A. B. C. D. Activity 1. What would you call these?. Design/ Algorithm. Task (problem). Code . Computing & Communication Foundations . Computer & Network . Systems. Advanced. Cyberinfrastructure. Welcome, a Brief NSF CISE Overview,. and a Few Words of Advice. CISE CAREER WORKSHOP. April 2018. Vasant G Honavar. Professor of Information Sciences and Technology. Professor of Computer Science. Professor of Bioinformatics and Genomics. Professor of Neuroscience. Director, Center for Big Data Analytics and Discovery Informatics. Computing education is in enormous demand. Many students (both children and adult) are realizing that they will need programming in the future. This book presents the argument that they are not all going to use programming in the same way and for the same purposes. What do we mean when we talk about teaching everyone to program? When we target a broad audience should we have the same goals as computer science education for professional software developers? How do we design computing education that works for everyone? This book proposes use of a learner-centered design approach to create computing education for a broad audience. It considers several reasons for teaching computing to everyone and how the different reasons lead to different choices about learning goals and teaching methods. The book reviews the history of the idea that programming isn\'t just for the professional software developer. It uses research studies on teaching computing in liberal arts programs to graphic designers to high school teachers in order to explore the idea that computer science for everyone requires us to re-think how we teach and what we teach. The conclusion describes how we might create computing education for everyone.