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Foundations, Artificial Intelligence, Emerging Technologies, Responsible Computing, and the Future of Computing
Explore the foundations and future of modern computing—from artificial intelligence and distributed systems to cybersecurity, quantum technologies, and responsible computing. Modern Computer Science connects essential concepts with emerging technologies, real-world applications, and the challenges shaping the future of the discipline.
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About the Book
Modern Computer Science provides a comprehensive exploration of the concepts, technologies, and responsibilities shaping contemporary computing. Moving from foundational principles to artificial intelligence, cloud and distributed computing, cybersecurity, quantum computing, and other emerging technologies, the book connects established computer science concepts with the rapidly changing technological landscape.
Designed for advanced students, educators, professionals, and readers seeking a broad understanding of modern computing, the book examines not only how contemporary technologies work, but also why they matter. Technical concepts are presented alongside real-world applications, international perspectives, ethical considerations, governance challenges, and future directions.
Across 27 chapters, readers explore artificial intelligence and machine learning, data-intensive computing, cloud and edge systems, cybersecurity, distributed technologies, human–computer interaction, quantum computing, responsible computing, and the wider social implications of technological change. Diagrams, structured explanations, discussion questions, and research-oriented activities support both independent study and postgraduate teaching.
Rather than treating computer science as a collection of isolated technologies, Modern Computer Science presents computing as an interconnected and evolving discipline—one in which technical capability, human judgement, responsibility, and innovation increasingly converge.
About the Author
Dr Eric Thanakit Ouanhlee holds a Doctor of Business Administration from California Intercontinental University and a second Doctor of Business Administration from the International Business Academy of Switzerland. He also holds a Master of Science in Accounting and Finance from the University of Salford and a Master of Business Administration from the University of Cumbria, United Kingdom. His professional engagement is in the manufacturing sector in Thailand, where his work has spanned workforce analytics, operational analytics, governance, and the broader strategic dimensions of analytical leadership over the past decade. He has published many research papers and post-doctoral research, and include academic peer review and the development of MSc-level analytical and AI content
About the Contributors
Pharanun Ouanhlee
Pharanun Ouanhlee holds a Bachelor of Science in Computer Science from Victoria University of Wellington, New Zealand, and is affiliated with the Thipsamai Research Institute. She teaches mathematics in Christchurch, New Zealand. She contributed to the development of the discussion questions and created the diagrams and figures for this textbook
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