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Given current downward trends in graduate and undergraduate enrollment in the nuclear engineering curriculum, there is a fundamental concern that there will not be enough nuclear engineering graduates available to meet future needs. This book characterizes the status of nuclear engineering education in the United States, estimates the supply and demand for nuclear engineersâ€"both graduate and undergraduateâ€"over the next 5 to 20 years, addresses the range of material that the nuclear engineering curriculum should cover and how it should relate to allied disciplines, and recommends actions to help ensure that the nation's needs for competent graduate and undergraduate nuclear engineers can be met.
Maintaining nuclear competencies in the nuclear industry is a one of the most critical challenges in the near future. With the development of a number of nuclear engineering educational programs in several States, this publication provides guidance to decision makers in Member States on a competence based approach to curricula development, presenting the established practices and associated requirements for educational programs in this field. It is a consolidation of best practices that will ensure sustainable, effective nuclear engineering programs, contributing to the safe, efficient and economic operation of nuclear power plants. The information presented is drawn from a variety of recognized nuclear engineering programs around the world and contributes to the main areas that are needed to ensure a viable and robust nuclear industry.
Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering. Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques. For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering. Offers numerical methods as a tool to solve specific problems in nuclear engineering Provides examples on how to simulate different problems and produce graphs using Python Supplies accompanying codes and data on a companion website, along with solutions to end-of-chapter problems