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Roman, Claudia; Lazar, Liliana; García-Morales, Moisés – Journal of Chemical Education, 2020
Mass transfer separations are of extreme importance to professionals working in the chemical industry. For this reason, chemical engineering and industrial chemistry students are both taught these unit operations at the final years of their study programs. The traditional way of carrying out their design is based on the use of deterministic…
Descriptors: Chemistry, Monte Carlo Methods, Science Instruction, Chemical Engineering
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Sigal, Matthew J.; Chalmers, R. Philip – Journal of Statistics Education, 2016
Monte Carlo simulations (MCSs) provide important information about statistical phenomena that would be impossible to assess otherwise. This article introduces MCS methods and their applications to research and statistical pedagogy using a novel software package for the R Project for Statistical Computing constructed to lessen the often steep…
Descriptors: Mathematics Instruction, Statistics, Monte Carlo Methods, Demonstrations (Educational)
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Lambic, Dragan; Lazovic, Bojana; Djenic, Aleksandar; Maric, Miroslav – Journal of Computer Assisted Learning, 2018
In this paper, a new approach for the formation of four-member collaborative learning groups is presented. Group formation is presented by the mathematical optimization problem. Based on the proposed approach and the variable neighbourhood search (VNS) algorithm, the application that solves the presented problem and provides the appropriate…
Descriptors: Heuristics, Cooperative Learning, Group Dynamics, Interpersonal Relationship
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Tully, Shane P.; Stitt, Thomas M.; Caldwell, Robert D.; Hardock, Brian J.; Hanson, Robert M.; Maslak, Przemyslaw – Journal of Chemical Education, 2013
A Monte Carlo method is used to generate interactive pointillist displays of electron density in hydrogenic orbitals. The Web applet incorporating Jmol viewer allows for clear and accurate presentation of three-dimensional shapes and sizes of orbitals up to "n" = 5, where "n" is the principle quantum number. The obtained radial…
Descriptors: Visual Aids, Monte Carlo Methods, Interactive Video, Computer Uses in Education
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Sosnowski, Stanislaw – Journal of Chemical Education, 2013
Free software for the demonstration of the features of homo- and copolymerization processes (free radical, controlled radical, and living) is described. The software is based on the Monte Carlo algorithms and offers insight into the kinetics, molecular weight distribution, and microstructure of the macromolecules formed in those processes. It also…
Descriptors: Computer Software, Computer Uses in Education, Educational Technology, Science Instruction
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Gardenier, George H.; Gui, Feng; Demas, James N. – Journal of Chemical Education, 2011
Complex error propagation is reduced to formula and data entry into a Mathcad worksheet or an Excel spreadsheet. The Mathcad routine uses both symbolic calculus analysis and Monte Carlo methods to propagate errors in a formula of up to four variables. Graphical output is used to clarify the contributions to the final error of each of the…
Descriptors: Monte Carlo Methods, Computer Software, Calculus, Mathematics Education
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Beddard, Godfrey S. – Journal of Chemical Education, 2011
Thermodynamic quantities such as the average energy, heat capacity, and entropy are calculated using a Monte Carlo method based on the Metropolis algorithm. This method is illustrated with reference to the harmonic oscillator but is particularly useful when the partition function cannot be evaluated; an example using a one-dimensional spin system…
Descriptors: Thermodynamics, Scientific Concepts, Calculus, Computation
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Solanas, Antonio; Manolov, Rumen; Onghena, Patrick – Behavior Modification, 2010
The current study proposes a new procedure for separately estimating slope change and level change between two adjacent phases in single-case designs. The procedure eliminates baseline trend from the whole data series before assessing treatment effectiveness. The steps necessary to obtain the estimates are presented in detail, explained, and…
Descriptors: Simulation, Computation, Models, Behavioral Science Research