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Reyes-Palomares, Armando; Sanchez-Jimenez, Francisca; Medina, Miguel Angel – Biochemistry and Molecular Biology Education, 2009
A comprehensive understanding of biological functions requires new systemic perspectives, such as those provided by systems biology. Systems biology approaches are hypothesis-driven and involve iterative rounds of model building, prediction, experimentation, model refinement, and development. Developments in computer science are allowing for ever…
Descriptors: Mathematical Models, Biology, Biochemistry, Computer Science
Peer reviewedAburdene, Maurice F. – CoED, 1982
Develops Volterra model for spread of information in group analytically and by simulation and compares characteristics of both methods. Topics of modeling, equilibrium, linearization, stability, error analysis, and parameter identification are incorporated in obtaining the solutions. (SK)
Descriptors: Computer Oriented Programs, Computer Science, Diffusion, Engineering Education
Peer reviewedFox, William P.; And Others – Journal of Computers in Mathematics and Science Teaching, 1996
Explains a proposed block of instruction that would give students in industrial engineering, operations research, systems engineering, and applied mathematics the basic understanding required to begin more advanced courses in simulation theory or applications. (DDR)
Descriptors: Algorithms, Computer Science, Computer Simulation, Computer Software
Peer reviewedMishima, Nobuhiko; And Others – American Journal of Physics, 1980
Describes the use of a microcomputer in studying a model experiment (Brownian particles colliding with thermal particles). A flow chart and program for the experiment are provided. Suggests that this experiment may foster a deepened understanding through mutual dialog between the student and computer. (SK)
Descriptors: College Science, Computer Oriented Programs, Computer Programs, Computer Science

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