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Elizabeth Stippell; Alexey V. Akimov; Oleg V. Prezhdo – Journal of Chemical Education, 2023
We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both time-independent and time-dependent quantum chemistry, with the latter rarely considered in the foundations course due to topic complexity. We use quantized…
Descriptors: Undergraduate Students, College Science, Quantum Mechanics, Chemistry
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Simic, Danijela – International Journal for Technology in Mathematics Education, 2015
Stepwise program refinement techniques can be used to simplify program verification. Programs are better understood since their main properties are clearly stated, and verification of rather complex algorithms is reduced to proving simple statements connecting successive program specifications. Additionally, it is easy to analyse similar…
Descriptors: Mathematics, Computer Science, Computer Science Education, Comparative Analysis
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Muller, Thomas; Frauendiener, Jorg – European Journal of Physics, 2012
In a first course in general relativity, the Schwarzschild spacetime is the most discussed analytic solution to Einstein's field equations. Unfortunately, there is rarely enough time to study the optical consequences of the bending of light for some advanced examples. In this paper, we present how the visual appearance of a thin disc around a…
Descriptors: Programming Languages, Programming, Scientific Concepts, Visualization
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Schmidt, Karsten – International Journal of Mathematical Education in Science and Technology, 2008
In this paper "Derive" functions are provided for the computation of the Moore-Penrose inverse of a matrix, as well as for solving systems of linear equations by means of the Moore-Penrose inverse. Making it possible to compute the Moore-Penrose inverse easily with one of the most commonly used Computer Algebra Systems--and to have the blueprint…
Descriptors: Programming Languages, Computer Uses in Education, Programming, Algebra