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Whitman, David L.; Terry, R. E. – CoED, 1984
A computer program which allows the solution of a Monte Carlo simulation (probabilistic sensitivity analysis) has been developed for the Vic-20 microcomputer. Theory of Monte Carlo simulation, program capabilities and operation, and sample calculations are discussed. Student comments on the program are included. (JN)
Descriptors: Computer Graphics, Engineering, Engineering Education, Higher Education

Bak, Per – Physics Today, 1983
Describes how microcomputers can perform very demanding/large-scale physics calculations at speeds not much slower than those of modern, full-size computers. Among the examples provided are a Monte Carlo simulation of the three-dimensional Ising model and a program (for the Apple microcomputer) using the time-independent Schrodinger Equation. (JN)
Descriptors: College Science, Computer Programs, Computer Simulation, Higher Education

Lewis, Jerome L. – Mathematics and Computer Education, 1998
Discusses Monte Carlo methods, powerful and useful techniques that rely on random numbers to solve deterministic problems whose solutions may be too difficult to obtain using conventional mathematics. Reviews two excellent candidates for the application of Monte Carlo methods. (ASK)
Descriptors: Educational Technology, Elementary Secondary Education, Higher Education, Mathematics Activities

Kolpas, Sid – Mathematics and Computer Education, 1998
The Monte Carlo method provides approximate solutions to a variety of mathematical problems by performing random sampling simulations with a computer. Presents a program written in Quick BASIC simulating the steps of the Monte Carlo method. (ASK)
Descriptors: Calculus, Computer Uses in Education, Educational Technology, Elementary Secondary Education

Walton, Karen D.; Walton, Zachary D. – Journal of Computers in Mathematics and Science Teaching, 1992
Examines the use of the computer to approximate the value of the definite integral normally calculated by mathematical means. Presents four examples using BASIC programs to approximate single and double integrals by numerical integration and the Monte Carlo method. Programs are provided. (MDH)
Descriptors: Area, Calculus, Computer Uses in Education, Estimation (Mathematics)