Numerical Methods as an Integrated Part of Physics Education
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2005
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Abstract
During the last decade we have witnessed an impressive development in
so-called interpreted languages and computational environments such as Maple,
Mathematica, IDL, Matlab etc. Problems which until recently were typically
solved on mainframe machines and written in computing languages such as Fortran
or C/C++, can now easily be solved on standard PCs with the bonus of immediate
visualizations of the results.
In our undergraduate programs an often posed question is how to incorporate
and exploit efficiently these advances in the standard physics and mathematics
curriculum, without detracting the attention from the classical and basic
theoretical and experimental topics to be covered. Furthermore, if students are
trained to use such tools at early stages in their education, do such tools
really enhance and improve the learning environment? And, perhaps even more
important, does it lead to a better physics understanding?
Here we present one possible approach, where computational topics are
gradually baked into our undergraduate curriculum in Mathematics and Physics,
Astronomy and Meteorology. We focus on training our students to use general
programming tools in solving physics problems, in addition to the classical
analytic problems. By this approach, the students gain an expertise that they
can build upon in their future studies and careers. We use mainly Java, Matlab
and Maple as computational environments. Our students are now capable of
handling at an early stage in their education more realistic physics problems
than before. We believe firmly that, in addition to educating modern
scientists, this promotes a better physics understanding for a majority of the
students.
| Reference Key |
hjorth-jensen2005numerical
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|---|---|
| Authors | Arnt Inge Vistnes; M. Hjorth-Jensen |
| Journal | arXiv |
| Year | 2005 |
| DOI |
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