Computational Mathematics: Models, Methods, and Analysis With Matlab and Mpi
Computational Mathematics: Models, Methods, and Analysis With Matlab and Mpi
The role of modeling in computational science education
Future Generation Computer Systems - Special issue: Selected papers from the workshop on education in computational sciences held at the ICCS 2002
Communications of the ACM - Self managed systems
Introduction to Computational Science: Modeling and Simulation for the Sciences
Introduction to Computational Science: Modeling and Simulation for the Sciences
A multidisciplinary approach towards computational thinking for science majors
Proceedings of the 40th ACM technical symposium on Computer science education
Insight Through Computing: A MATLAB Introduction to Computational Science and Engineering
Insight Through Computing: A MATLAB Introduction to Computational Science and Engineering
Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving
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This paper discusses two aspects of developing computational models: the multi-disciplinary nature of conceptualization and practical aspects for implementing computational models. This is part of our approach to devising a framework to develop methods, software tools and help educate scientists and students of computer science, mathematics, and the various science disciplines, in developing computational modeling. A computational model is a computer implementation of the solution to a (scientific) problem for which a mathematical representation has been formulated. Developing a computational model involves formulating the mathematical representation and implementing it by applying Computer Science concepts, principles and methods. Because most computational models today require high-performance computing (HPC), they are implemented in C and Fortran using appropriate numerical/scientific libraries.