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This book presents a brief description of what constitutes computer modeling and simulation with techniques given to get a feel for how some of the simulation software packages involving hundreds of thousands of lines of code were developed.
This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M&S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results.
This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M&S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results.
Thanks to their education, experience, and general philosophical orientation, many engineers fail to notice critical issues in the workplace that can directly impact their career advancement and day-to-day job satisfaction. This text focuses on career management, and the accompanying importance of human and social interactions in the office. Althou
This compact reference succinctly explains the engineering profession's codes of ethics using case studies drawn from decisions of the National Society of Professional Engineers' Board of Ethical Review, examining ethical challenges in engineering, construction, and project management. It includes study questions to supplement general engineering survey courses and a list of references to aid practicing engineers in exploring topics in depth. The author discusses recent headline-making disasters such as the Challenger explosion and the Chernobyl nuclear catastrophe; considers the merits and drawbacks of professional codes of ethics; and outlines legal standards for liability.
This work offers a step-by-step approach to the overall concurrent engineering (CE) development process, presenting both fundamental principles and advanced concepts, while focusing on rapid product development and cost-effective designs. The book also provides an introduction to Cost Driven Design, with specific examples on how to minimize expenses by understanding the basis of product costs. The process of concurrent engineering is explained from initial planning to production start-up.
Covering the roles and responsibilities of the project manager, this second edition describes requirement specifications, work breakdown structures, project control and risk management, and offers new information on motivation, matrix arrangements, and project records. Discussing the anatomy of a project planning and control and techniques, the aut
Most organizations place a high priority on keeping data secure, but not every organization invests in training its engineers or employees in understanding the security risks involved when using or developing technology. Designed for the non-security professional, What Every Engineer Should Know About Cyber Security and Digital Forensics is an overview of the field of cyber security. Exploring the cyber security topics that every engineer should understand, the book discusses: Network security Personal data security Cloud computing Mobile computing Preparing for an incident Incident response Evidence handling Internet usage Law and compliance Security and forensic certifications Application of the concepts is demonstrated through short case studies of real-world incidents chronologically delineating related events. The book also discusses certifications and reference manuals in the area of cyber security and digital forensics. By mastering the principles in this volume, engineering professionals will not only better understand how to mitigate the risk of security incidents and keep their data secure, but also understand how to break into this expanding profession.
"Explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively--enabling engineering professionals to anticipate failures regardless of system complexity--highlighting opportunities to turn failure into success."