In today's rapidly evolving educational landscape, traditional teaching methods often fail to equip students with the skills necessary for success in the 21st century. The siloed approach to education, where subjects are taught in isolation, must reflect the interconnected nature of modern challenges. This disconnect between traditional educational models and the needs of the future workforce is a serious concern among educators. They face the challenge of preparing students for professions that still need to be created using tools and technologies that are still emerging. Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving offers a transformative solution to this challenge. By advocating for computational thinking as a fundamental skill set applicable across all academic disciplines, the book provides educators with the tools to bridge this gap. It introduces computational thinking not just as a technical skill but as a way of problem-solving and logical reasoning that enhances critical thinking across subjects. Through practical lesson plans, case studies, and strategies, educators can seamlessly integrate computational thinking into their classrooms, preparing students for the complexities of the modern world.

In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.

Engineers, researchers, and students attempting to effectively utilize numerical methods to solve complex engineering problems in today's fast-paced technological world are increasingly struggling to keep up without the necessary tools. While theoretical knowledge is vital, it can feel disconnected from practical application, leaving many ill-equipped to tackle real-world challenges. Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods offers a comprehensive understanding and hands-on experience with numerical methods, empowering you to push the boundaries of innovation. By providing practical examples of coding and real-world applications, you will be equipped with the skills to tackle dynamic systems, partial and ordinary differential equations, and other mathematical simulations confidently.

Software engineering is a basic concept in the digital age. The seamless operation of a website is integral to the functioning of businesses, education, government services, and personal communications. As a foundation of our online interactions, a website must be meticulously crafted to provide an outstanding user experience supported by an innovative user interface. It is essential to explore core services required to host, manage, and access a secure modern website. Design and Implementation of Software Engineering for Modern Web Applications serves as a comprehensive guide to understanding the technologies and methodologies essential for designing, developing, and maintaining modern, secure websites. From domain structures and domain name systems to web protocols, database servers, and web browsers are introduced to the network concepts critical to server technologies. Covering topics such as requirements engineering, web applications, and website management, this book is an essential resource for postgraduate students, educators, web developers, researchers, academicians, and more.

In the field of engineering, optimization and decision-making have become pivotal concerns. The ever-increasing demand for data processing has given rise to issues such as extended processing times and escalated memory utilization, posing formidable obstacles across various engineering domains. Problems persist, requiring not only solutions but advancements beyond existing best practices. Creating and implementing novel heuristic algorithms is a time-intensive process, yet the imperative to do so remains strong, driven by the potential to significantly lower computational costs even with marginal improvements. This book, titled Metaheuristics Algorithm and Optimization of Engineering and Complex Systems, is a beacon of innovation in this context. It examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions such as automating search spaces through integrated heuristics. Designed to cater to a broad audience, this book is a valuable resource for both novice and experienced dynamic optimization practitioners. By addressing the spectrum of theory and practice, as well as discrete versus continuous dynamic optimization, it becomes an indispensable reference in a captivating and emerging field. With a deliberate focus on inclusivity, the book is poised to benefit anyone with an interest in staying abreast of the latest developments in dynamic optimization.

The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.

Intelligent technologies have vastly improved the efficiency of healthcare industries and intersections of law and governance. Computational intelligence provides effective tools for data management, contract analysis, legal research, and algorithm development. However, with the integration of computational intelligence in health governance, considerable legal concerns beg further exploration. Intersections of Law and Computational Intelligence in Health Governance examines computational intelligence related to healthcare and governance approaches. It addresses issues of healthcare data analysis and storage by presenting solutions using medical computational intelligence techniques. This book covers topics such as healthcare accessibility, medical law, deep learning, and drug discovery and classification, and is a valuable resource for lawyers, policy makers, healthcare workers, medical professionals, academicians, and researchers.