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Modeling Physical and Non-Physical Systems

Miguel A. Jiménez-Montaño
Departamento de Física y Matemáticas
Universidad de las Américas/Puebla
Puebla, México
jimm@ccs.pue.udlap.mx A new approach to teaching computational physics is introduced. It is based on the following assumptions: a) the most important difference between a physicist and other scientists is not the subject matter itself, but the conceptual, mathematical and experimental tools he masters [1]; b) the hierarchical order in Nature allows closed descriptions at different energetic levels, without necessarily recurring to micro-descriptions to study macroscopic phenomena of interest; c) besides studying simple systems, modern physics should also deal with complex (non-linear, chaotic) systems, with the help of modern computational tools. An introductory course in computational physics is described, in which computational models of physical systems (such as the Ising Model) are appropriately modified for their application in other fields, such as biochemistry or the social sciences [2,3]. This approach not only helps students to get a better feeling of the physical world, but gives students from non-physics careers the opportunity to apply physical models to their areas of interest. Besides being interesting, the course is fun for the students, perhaps because it relates physics with their own interests.

References:

1
Sol M. Gruner et al., Physics Today, Dec 1995: 25-30.
2
H. Haken, Synergetics, An Introduction. 1978, Springer-Verlag, Heidelberg
3
R.J. Gaylord, P. R. Wellin, Computer Simulations with Mathematica (Explorations in Complex Physical and Biological systems) 1995, Springer-Verlag, Telos, Santa Clara CA.



D. J. Raymond
Tue Oct 21 08:55:45 MDT 1997