Physical Insight From Computational AlgorithmsDate(s): 1/30/2013 2:00 PM - 1/30/20133:30 PM
Location: Lib 314
Contact: Robert Fisher email@example.com 508-999-8353
Physical Insight From Computational Algorithms After a brief discussion of the importance of introducing computational science into the undergraduate curriculum, I will provide a number of examples of how computational algorithms can aid in providing physical insight, particularly about abstract concepts that students frequently have difficulty appreciating. Jan Tobochnik is Professor of Physics and Computer Science at Kalamazoo College where he has been since 1985. He was the Editor of the American Journal of Physics for ten years stepping down in September 2011. He is a Fellow of the American Physical Society, and has co-authored textbooks on computational physics and statistical and thermal physics. His research involves using computational tools in statistical physics and related areas including two dimensional phase transitions, diffusion through porous media, models of lipid bilayers, networks including patent citation networks, and currently models of earthquakes and asset exchange in economics.