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3681por Luis von Ahn“…Speaker Profile: Professor Luis von Ahn works in the Computer Science Department at Carnegie Mellon University. …”
Publicado 2008
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3682por Vint Cerf“…Cerf holds a Bachelor of Science degree in Mathematics from Stanford University and Master of Science and Ph.D. degrees in Computer Science from UCLA and is the recipient of over a dozen honorary degrees. …”
Publicado 2009
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3683por Falsafi, Babak“…</p><h4>About the speaker</h4><p align="justify">Babak Falsafi is a Professor in the School of Computer and Communication Sciences at EPFL, and an Adjunct Professor of Electrical and Computer Engineering and Computer Science at Carnegie Mellon. He is the founder and the director of the Parallel Systems Architecture Laboratory (PARSA) at EPFL where he conducts research on architectural support for parallel programming, resilient systems, architectures to break the memory wall, and analytic and simulation tools for computer system performance evaluation.…”
Publicado 2010
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3684por Lopienski, Sebastian“…He graduated from the University of Warsaw (MSc in Computer Science) in 2002, and earned an MBA degree at the Enterprise Administration Institute in Aix-en-Provence and Haute Ecole de Gestion in Geneva in 2010. …”
Publicado 2012
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3685por Pankratius, Victor“…</p> <h4> About the speaker</h4> <p align="justify"> Victor Pankratius conducts research at MIT in the Computer Science and Artificial Intelligence Laboratory (CSAIL) as a visiting scientist. …”
Publicado 2012
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3686por Mascagni, Michael“…He has approximately 100 refereed technical papers that have appeared in a wide variety of publications in areas including Applied Mathematics, Computer Science, Simulation Science, Monte Carlo Methods, Computational Science, High-Performance Computing, Scientific Computing, Computational Physics, and Computational Neuroscience. …”
Publicado 2012
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3687por Oden, Tinsley J“…Written by a world authority on mathematical theory and computational mechanics, the book presents an account of continuum mechanics, electromagnetic field theory, quantum mechanics, and statistical mechanics for readers with varied backgrounds in engineering, computer science, mathematics, and physics. The author streamlines a comprehensive understanding of the topic in three clearly organized sections: Nonlinear Continuum Mechanics introduces kinematics as well as force and stress in deformable bodies; mass and momentum; balance of linear and angular momentum; conservation of energy; and constitutive equations Electromagnetic Field Theory and Quantum Mechanics contains a brief account of electromagnetic wave theory and Maxwell's equations as well as an introductory account of quantum mechanics with related topics including ab initio methods and Spin and Pauli's principles Statistical Mechanics presents an introduction to statistical mechanics of systems in thermodynamic equilibrium as well as continuum mechanics, quantum mechanics, and molecular dynamics Each part of the book concludes with exercise sets that allow readers to test their understanding of the presented material. …”
Publicado 2011
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3688por Baxter, Ira“…He studied software reuse techniques at the Schlumberger Laboratory for Computer Science, where he built tools to generate seismic wave modelling codes, and lead the compiler team for the Rockwell Control Logix industrial controller. …”
Publicado 2014
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3689
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3690“…Graduate students and professionals in electrical engineering and computer science with an interest in 3D Future Internet Media will find this volume to be essential reading. …”
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3691por Gondro, Cedric“…This book is also designed to be used by students in computer science and statistics who want to learn the practical aspects of genomic analysis without delving into algorithmic details. …”
Publicado 2015
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3692por Kulkarni, V G“…It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and public policy. It employs a large number of examples to teach the students to use stochastic models of real-life systems to predict their performance, and use this analysis to design better systems. …”
Publicado 2011
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3693por Dr. Livny, Miron“…Since 1983 he has been on the Computer Sciences Department faculty at the University of Wisconsin-Madison, where he is currently a Professor of Computer Sciences, the director of the Center for High Throughput Computing, is leading the HTCondor project and serves as the principal investigator and technical director of the Open Science Grid (OSG). …”
Publicado 2016
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3694“…The lectures presented in this work are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. …”
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3695por Briggs, William“…This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). …”
Publicado 2016
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3696por Zimmermann, Hans-Georg“…Hans Georg Zimmermann, studied mathematics, computer science and economics at the University of Bonn (focus on dynamical systems, control theory, PhD in game theory). …”
Publicado 2016
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3697por Zimmermann, Hans-Georg“…Hans Georg Zimmermann, studied mathematics, computer science and economics at the University of Bonn (focus on dynamical systems, control theory, PhD in game theory). …”
Publicado 2016
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3698por Witowski, Sebastian“…The ease of use and a very low learning curve makes Python a perfect programming language for many physicists and other people without the computer science background. CERN does not only produce large amounts of data. …”
Publicado 2017
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3699“…—Short Book Reviews, International Statistical Institute I find [this book] to be an excellent textbook, and I strongly recommend it as an introductory technical statistics course to engineering and science students who have had a basic programming course in computer science. I expect it to become a classic. <—Mathematical Reviews.…”
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3700“…Mathematical areas explored include combinatorics, logic, graph theory, linear algebra, geometry, topology, computer science, operations research, probability, game theory, and music theory. …”
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