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Albert, Daniel R. – Journal of Chemical Education, 2020
Monte Carlo simulations for uncertainty propagation take as inputs the uncertainty distribution for each variable and an equation for the calculation of a desired quantity. The desired quantity is then calculated by randomly drawing from the specified uncertainty distributions of the input variables. This calculation is then repeated many times…
Descriptors: Monte Carlo Methods, Science Instruction, Measurement, Undergraduate Students
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Kostadinov, Boyan – PRIMUS, 2013
This article attempts to introduce the reader to computational thinking and solving problems involving randomness. The main technique being employed is the Monte Carlo method, using the freely available software "R for Statistical Computing." The author illustrates the computer simulation approach by focusing on several problems of…
Descriptors: Computation, Monte Carlo Methods, College Mathematics, Problem Solving
Murthi, Manohar; Shea, Lonnie D.; Snurr, Randall Q. – Chemical Engineering Education, 2009
Problems requiring numerical solutions of differential equations or the use of agent-based modeling are presented for use in a course on mass transfer. These problems were solved using the popular technical computing language MATLABTM. Students were introduced to MATLAB via a problem with an analytical solution. A more complex problem to which no…
Descriptors: Scientific Concepts, Chemical Engineering, Engineering Education, Calculus
Hipp, John R.; Bauer, Daniel J. – Psychological Methods, 2006
Finite mixture models are well known to have poorly behaved likelihood functions featuring singularities and multiple optima. Growth mixture models may suffer from fewer of these problems, potentially benefiting from the structure imposed on the estimated class means and covariances by the specified growth model. As demonstrated here, however,…
Descriptors: Monte Carlo Methods, Maximum Likelihood Statistics, Computation, Case Studies

Wood, Eric – Mathematics Teacher, 1992
This article discusses the analysis of a decision-making process faced by contestants on the television game show "The Price is Right". The included analyses of the original and related problems concern pattern searching, inductive reasoning, quadratic functions, and graphing. Computer simulation programs in BASIC and tables of…
Descriptors: Computer Assisted Instruction, Computer Simulation, Learning Activities, Mathematical Applications