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Episode 149: Difference between Software Engineering and Computer Science with Chuck Connell

Episode 149: Difference between Software Engineering and Computer Science with Chuck Connell

from Software Engineering Radio - The Podcast for Professional Software Developers on November 16, 2009
Duration: 0
Podcast (MP3): Download Hosts: Michael Guests: Chuck Connell Recording venue: Skype Michael discusses with his guest Chuck Connell the differences between software engineering and computer science. What makes software engineering so unpredictable, with so few formal results? And how can we advance the field of software engineering without these results? Links Article: Difference between Software Engineering and Computer Science Grady Booch s handbook of software architecture Steve McConnell s blog about software development NASA page about formal software methods Chuck Connell s other essays about software engineering
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Episode 149: Difference between Software Engineering and Computer Science with Chuck Connell

Episode 149: Difference between Software Engineering and Computer Science with Chuck Connell

from Software Engineering Radio - the podcast for professional software developers on November 16, 2009
Duration: 0
Podcast (MP3): Download Hosts: Michael Guests: Chuck Connell Recording venue: Skype Michael discusses with his guest Chuck Connell the differences between software engineering and computer science. What makes software engineering so unpredictable, with so few formal results? And how can we advance the field of software engineering without these results? Links Article: Difference between Software Engineering and Computer Science Grady Booch s handbook of software architecture Steve McConnell s blog about software development NASA page about formal software methods Chuck Connell s other essays about software engineering
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Multitasking Zen

Multitasking Zen

from KUOW Presents Podcast on November 14, 2009
Duration: 0
University of Washington professor David Levy wants to know if meditation can make multitasking at work less stressful. So he's conducting an experiment with a Zen teacher, a neuropsychologist and a volunteer group of office workers. David currently teaches in the UW Information School, and he started his career as a computer scientist studying artificial intelligence. But his ideas about contemplative multitasking are rooted in the ancient art of calligraphy. David Levy speaks with KUOW's Jeremy Richards.
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Deborah Estrin: Humans As Sensors

Deborah Estrin: Humans As Sensors

from recent posts tagged mobile - blip.tv (beta) on October 27, 2009
Duration: 397
Deborah Estrin is a Professor of Computer Science and Electrical Engineering at UCLA. She holds the Jon Postel Chair in Computer Networks, and is Founding Director of the National Science Foundation funded Center for Embedded Networked Sensing (CENS). CENS mission is to explore and develop innovative, end-to-end, distributed sensing systems, across an array of scientifically and socially relevant applications, from ecosystems to human systems. Estrin and her colleagues are currently exploring Participatory Sensing systems that leverage the location, motion, image, and attached-sensor data streams increasingly available globally from mobile phones; with particular emphasis on human and environmental health applications and on privacy-aware architectures. Estrin s earlier research addressed Internet protocol design and scaling, in particular, inter-domain and multicast routing. She received her PhD in 1985 from MIT and her BS in 1980 from UC Berkeley, both in EECS. Estrin currently serves on the National Research Council s Computer Science and Telecommunications Board (CSTB) and was previously a member of the NSF National Ecological Observatory Network (NEON) Advisory board, the NSF CISE Advisory Committee, and DARPA-ISAT. Estrin was selected as the first ACM-W Athena Lecturer in 2006 and was awarded the Anita Borg Institute s Women of Vision Award for Innovation in 2007. She was elected to the American Academy of Arts and Sciences in 2007 and to the National Academy of Engineering in 2009. She is a fellow of the IEEE, ACM, and AAAS and was granted Doctor Honoris Causa from EPFL in 2008.
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08 September, 2009 – This Week in Science

08 September, 2009 – This Week in Science

from This Week in Science - The Kickass Science Podcast on September 08, 2009
Duration: 3483
Mutation and Evolution, Brain Cities, Neural Footwork, The Non-Shrinking Brain, Living With Lactose, Minion Mailbag, Obesity Immunity, and More Monopole Madness and remember to Live in Happiness
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01 September, 2009 – This Week in Science

01 September, 2009 – This Week in Science

from This Week in Science - The Kickass Science Podcast on September 01, 2009
Duration: 4074
The Might Be Giants and Science!, Baby Monkey Mitochondria, Space Invaders And Closetalkers, Sunspots And the Sea, Touch But Don t Touch, Mouse Versus Moth, and Interview w/ Dr. Neil DeGrasse Tyson re: Science and Stuff
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Computer Science

Computer Science

from recent posts - blip.tv (beta) on August 20, 2009
Duration: 357
An introduction to the Department of Computer Science at Anderson University (Anderson, Indiana).
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Matthew Botvinick: Computer Modeling of the Mind and Brain - May 6, 2009

Matthew Botvinick: Computer Modeling of the Mind and Brain - May 6, 2009

from Princeton University Podcasts on May 11, 2009
Duration: 3811
Lunch 'n Learn presentation: Brain ==> Computation ==> Behavior. Matthew Botvinick's lab works at the intersection of neuroscience, psychology and computer science, seeking to clarify the computational and neural foundations of human behavior. In pursuit of this mission, they employ a diverse set of research tools, including functional neuroimaging (fMRI), behavioral techniques (reaction time, error, and decision analyses), and computational modeling (neural networks, reinforcement learning models, and belief nets), typically applying multiple techniques to a single problem. They are leveraging these tools to investigate a range of specific research questions, spanning the topics of cognitive control, working memory, decision making, sequential action, and language processing. Current projects include the monitoring and control of cognitive processing, the control of sequential behavior, and the representation of sequential order in working memory. For more information see: http://blogs.princeton.edu/itsacademic/2009/05/computer_modeling_of_the_mind_and_brain.html
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