"This new volume explores the overlapping behavior of some aspects of the computational intelligence, focusing on real-life applications of these new tools and technologies. Computational science draws information from the field of computer science and mathematics and provides solutions to scientific or engineering problems. Even though the areas are quite distinct, many of the topics overlap in computational and computer science. Computational science is the intersection of computing and networking hardware, algorithms, numerical analysis and mathematics, software, programming, and databases and discipline specific knowledge. The chapters in Computational Science and Its Applications discuss how computational science can interact with artificial intelligence, machine learning, data science, quantum computing, image processing, evolutionary algorithms (ESs), process simulation, deep learning, for big data analysis, and computational intelligent algorithms. This volume will be a handy guide for instructors teaching computational intelligence techniques for undergraduate or postgraduate computer science programs as well as a reference for others interested in these areas"--