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Direct linkBringslid, Odd – Journal of Computers in Mathematics and Science Teaching, 2009
The projects Xmath (Bringslid and Canessa, 2002) and dMath (Bringslid, de la Villa and Rodriguez, 2007) were supported by the European Commission in the so called Minerva Action (Xmath) and The Leonardo da Vinci programme (dMath). The Xmath eBook (Bringslid, 2006) includes algorithms into a wide range of undergraduate mathematical issues embedded…
Descriptors: Undergraduate Students, Internet, Mathematics Education, Foreign Countries
Peer reviewedDanesh, Iraj – Journal of Computers in Mathematics and Science Teaching, 1987
Described is a Monte-Carlo method for modeling physical systems with a computer. Also discussed are ways to incorporate Monte-Carlo simulation techniques for introductory science and mathematics teaching and also for enriching computer and simulation courses. (RH)
Descriptors: College Mathematics, College Science, Computer Assisted Instruction, Computer Simulation
Peer reviewedKennedy, Kristin; Schumacher, Phyllis – Journal of Computers in Mathematics and Science Teaching, 1993
Describes the use of simulation to introduce the bootstrapping technique of creating confidence intervals for the mean, median, and variance. These bootstrap confidence intervals are compared to the traditional confidence intervals for the purpose of analyzing accuracy of the technique. A Minitab program to produce confidence intervals is…
Descriptors: Algorithms, College Mathematics, Computer Assisted Instruction, Computer Simulation
Peer reviewedEyob, Ephrem – Journal of Computers in Mathematics and Science Teaching, 1990
The results of a simulation model of a queuing system are reported. Use in an introductory quantitative analysis course to enhance students' computer and quantitative modeling knowledge is described. (CW)
Descriptors: College Mathematics, Computer Simulation, Computer Uses in Education, Educational Technology
Peer reviewedLough, Tom; Tipps, Steve – Journal of Computers in Mathematics and Science Teaching, 1989
Offers several LOGO programs to study the behavior of simple nonlinear systems. Suggests that LOGO is an excellent tool for studying chaotic systems. Offers suggestions for different forms of LOGO. Builds upon programs presented in a previous article. (MVL)
Descriptors: Chaos Theory, College Mathematics, Computer Graphics, Computer Simulation
