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Capizzo, M. C.; Sperandeo-Mineo, R. M.; Zarcone, M. – European Journal of Physics, 2008
We present a pedagogic approach aimed at modelling electric conduction in semiconductors in order to describe and explain some macroscopic properties, such as the characteristic behaviour of resistance as a function of temperature. A simple model of the band structure is adopted for the generation of electron-hole pairs as well as for the carrier…
Descriptors: Teaching Methods, Science Instruction, Laboratory Equipment, Science Experiments
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Peralta, Luis; Farinha, Ana Catarina; Rego, Florbela – European Journal of Physics, 2008
X-ray fluorescence is a non-destructive technique that allows elemental composition analysis. In this paper we describe a prescription to obtain the elemental composition of homogeneous coins, like 50 cent Euro coins, and how to get the quantitative proportions of each element with the help of Monte Carlo simulation. Undergraduate students can…
Descriptors: Undergraduate Students, Monte Carlo Methods, Chemistry, Science Laboratories
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Turton, Roger W. – Mathematics Teacher, 2007
This article describes several methods from discrete mathematics used to simulate and solve an interesting problem occurring at a holiday gift exchange. What is the probability that two people will select each other's names in a random drawing, and how does this result vary with the total number of participants? (Contains 5 figures.)
Descriptors: Probability, Algebra, Problem Solving, Monte Carlo Methods
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Gordon, Sheldon P.; Gordon, Florence S. – AMATYC Review, 1990
Discusses the application of probabilistic ideas, especially Monte Carlo simulation, to calculus. Describes some applications using the Monte Carlo method: Riemann sums; maximizing and minimizing a function; mean value theorems; and testing conjectures. (YP)
Descriptors: Calculus, College Mathematics, Functions (Mathematics), Higher Education