Introduction To Computing For Engineers

"This package represents the merging of two traditional freshman engineering courses: Intro to Computing (fortran and Basic) and Intro to Engineering (a discipline overview). The text is written for the required freshman course and is designed to give the students a basic knowledge of computer concepts and capabilities and to provide a broad overview/history of the engineering career. The new edition again focuses on Basic and Fortran as the primary programming languages but includes new material on various word processing systems,spreadsheets,computer aided design packages and some high-level language applications." -- Publisher.

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.

Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. This text evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering majors how to use high-performance computing systems (supercomputers) in scientific and engineering applications. Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. The authors begin with a survey of scientific computing and then provide a review of background (numerical analysis, IEEE arithmetic, Unix, Fortran) and tools (elements of MATLAB, IDL, AVS). Next, full coverage is given to scientific visualization and to the architectures (scientific workstations and vector and parallel supercomputers) and performance evaluation needed to solve large-scale problems. The concluding section on applications includes three problems (molecular dynamics, advection, and computerized tomography) that illustrate the challenge of solving problems on a variety of computer architectures as well as the suitability of a particular architecture to solving a particular problem. Finally, since this can only be a hands-on course with extensive programming and experimentation with a variety of architectures and programming paradigms, the authors have provided a laboratory manual and supporting software via anonymous ftp. Scientific and Engineering Computation series

Step-by-step instructions enable chemical engineers to masterkey software programs and solve complex problems Today, both students and professionals in chemical engineeringmust solve increasingly complex problems dealing with refineries,fuel cells, microreactors, and pharmaceutical plants, to name afew. With this book as their guide, readers learn to solve theseproblems using their computers and Excel, MATLAB, Aspen Plus, andCOMSOL Multiphysics. Moreover, they learn how to check theirsolutions and validate their results to make sure they have solvedthe problems correctly. Now in its Second Edition, Introduction to ChemicalEngineering Computing is based on the author’s firsthandteaching experience. As a result, the emphasis is on problemsolving. Simple introductions help readers become conversant witheach program and then tackle a broad range of problems in chemicalengineering, including: Equations of state Chemical reaction equilibria Mass balances with recycle streams Thermodynamics and simulation of mass transfer equipment Process simulation Fluid flow in two and three dimensions All the chapters contain clear instructions, figures, andexamples to guide readers through all the programs and types ofchemical engineering problems. Problems at the end of each chapter,ranging from simple to difficult, allow readers to gradually buildtheir skills, whether they solve the problems themselves or inteams. In addition, the book’s accompanying website lists thecore principles learned from each problem, both from a chemicalengineering and a computational perspective. Covering a broad range of disciplines and problems withinchemical engineering, Introduction to Chemical EngineeringComputing is recommended for both undergraduate and graduatestudents as well as practicing engineers who want to know how tochoose the right computer software program and tackle almost anychemical engineering problem.

ESourcePrentice Hall's Engineering Sourceprovides a complete, flexible introductory engineering and computing program. Featuring over 15 modules and growing, ESource allows users to fully customize their series through the ESource website.Users are not only able to pick and choose modules, but also sections of modules, and re-paginate and re-index the complete project.For any Engineer or Computer Scientist interested in a complete, customized reference.

In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information. The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque (Ecole de technologie superieure (ETS), Universite du Quebec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).