Computational Science For The 21st Century

The world is experiencing unprecedented rapidity of change, originating from pervasive technological developments. This book considers the effects of such rapid change from within computing disciplines, by allowing computing educationalists to deliver a considered verdict on the future of their discipline. The targeted future, the year 2020, was chosen to be distant enough to encourage authors to risk being visionary, while being close enough to ensure some anchorage to reality. The result is a scholarly set of contributions expressing the visions, hopes, concerns, predictions and analyses of trends for the future.

Computational science can loosely be defined as the endeavor to develop and analyse models for the simulation and control of complex processes. This is achieved by making optimal use of computer resources and by drawing upon a variety of disciplines, techniques and theories. With the emergence of advanced computational and information technologies, computational science now has a significant impact on engineering, physical, biological, management and social sciences. The contributions in this state-of-the-art volume range from theoretical and numerical topics to practical implementations. The subject matter includes modelling, mathematical and numerical analysis, differential equations, linear algebra, optimization, domain decomposition, computational fluid dynamics, computational mechanics, elasticity, structure, computational physics and chemistry, electromagnetic, control theory and other applications. This volume is dedicated to Roland Glowinski on the occasion of his 60th birthday. It is aimed at the next generation of scientists, applied mathematicians, computer scientists, practitioners and engineers who will define computational science within the context of the challenging scientific, industrial, economic and societal problems of the 21st century.

Students often face challenges in a swiftly advancing Computer Science Education (CSE), where technologies evolve rapidly, and concepts unfold with overwhelming intricacies. As society becomes interwoven with technology, how essential is the integration of CSE into the educational framework to adequately equip future generations for the complexities of the digital era? Navigating Computer Science Education in the 21st Century advocates integrating CSE into curricula, underlining its crucial role in early childhood development. The book grapples with the challenge of introducing children to technology responsibly, addressing concerns about unmonitored screen time while emphasizing the necessity of evidence-based approaches for educators. Within these pages, effective teaching strategies are linked to successes in CSE. The book explores learner-centered teaching methodologies in computer science, emphasizing individualized instruction, active learning, and collaborative approaches. It evaluates the effectiveness of traditional lecture-based teaching against more innovative strategies such as game-based learning and collaborative approaches. By presenting studies that delve into the impact of these strategies on student engagement and motivation, the book equips educators with the insights needed to make informed decisions tailored to diverse learning environments.

This book comprises the proceedings of the International Perm Forum “Science and Global Challenges of the 21st Century” held on October 18th – 23rd, 2021, at Perm State University, Perm, Russia. Global challenges, which determine the main trends in the development of social and economic life in the XXI century, require the integration of specialists in various fields of knowledge. That is why the main principle of this edition is interdisciplinarity, the formation of end-to-end innovation chains, including fundamental and applied research, and the wide application of smart innovations, networks, and information technologies. The authors seek to find synergy between technologies and such fields as computer science, geosciences, biology, linguistics, social studies, historical studies, and economics. The book is of interest to researchers seeking nontrivial solutions at the interface of sciences, digital humanities, computational linguistics, cognitive studies, machine learning, and others.

The scientific developments at the end of the past millennium were dominated by the huge increase and diversity of disciplines with the common label “computer science”. The theoretical foundations of such disciplines have become known as theoretical computer science. This book highlights some key issues of theoretical computer science as they seem to us now, at the beginning of the new millennium.The text is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science in the period 1995-2000. The columnists themselves selected the material they wanted for the book, and the editors had a chance to update their work. Indeed, much of the material presented here appears in a form quite different from the original. Since the presentation of most of the articles is reader-friendly and does not presuppose much knowledge of the area, the book constitutes suitable supplementary reading material for various courses in computer science.

This text on very large scale computation in the 21st century covers such topics as: challenges in the natural sciences and physics; chemistry; fluid dynamics; astrophysics; biology; challenges in engineering; challenges in algorithm design; and challenges in system design.