Artificial Intelligence and Computational Thinking
Price: 775.00 INR
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ISBN:
9789373747606
Publication date:
21/09/2026
Paperback
496 pages
241x184mm
Price: 775.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9789373747606
Publication date:
21/09/2026
Paperback
496 pages
Oxford University Press
- Comprehensive coverage of computer fundamentals, hardware, software, memory, processors, and operating systems.
- Strong emphasis on problem-solving, logical reasoning, and computational thinking skills.
- Gradual introduction to Artificial Intelligence concepts and their real-world applications.
- Dedicated focus on data handling, database fundamentals, and essential data operations.
- Practical exposure to spreadsheet tools, formulas, and data management techniques.
- Detailed coverage of data visualization methods and interpretation of visual information.
- Foundational understanding of machine learning concepts, workflows, and learning approaches for beginners.
Rights: World Rights
Oxford University Press
Description
Artificial Intelligence and Computational Thinking has been developed in accordance with contemporary curriculum requirements and educational frameworks that emphasize digital literacy, problem-solving, data handling, and emerging technologies. The content is organized to provide students with a comprehensive understanding of computing systems, including computer hardware, software, operating systems, memory, processors, and input/output devices. Building upon this foundation, the book introduces the principles of logical reasoning, problem solving, and computational thinking, which serve as essential skills for modern learners and future innovators.
Recognizing the growing importance of data in today’s world, several chapters focus on data management,operations, spreadsheets, visualization techniques, and interpretation of information. The book also familiarizes students with AI concepts, real-world applications, and the fundamental principles of machine learning, helping them understand how intelligent systems are designed and utilized. Examples, illustrations, practical applications, and skill-based discussions have been incorporated throughout the text to facilitate meaningful learning. The progression of topics ensures conceptual clarity while encouraging critical thinking, creativity, and analytical reasoning. Overall, the book serves as a valuable resource for students seeking a strong foundation in Artificial Intelligence, Computational Thinking, and contemporary digital technologies
Reema Thareja is Assistant Professor at the School of Open Learning, University of Delhi. She has more than 21 years of teaching experience and specializes in computer fundamentals, Artificial Intelligence, Data Science and Machine Learning, and programming languages such as C, C++ and Python.
Dr Sumathi is Professor in St. Josephs college of Engineering, Chennai and the Founder and CEO of iThynx Solutions Pvt. Ltd. Dr. Sumathi continues to work at the intersection of research, technology, and entrepreneurship, with a vision of transforming emerging AI technologies into solutions that create meaningful
impact.
L. Sherly Pushpa Annabel is Professor in the Department of Artificial Intelligence and Data Science at St. Joseph’s College of Engineering, Chennai. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Wireless Sensor Networks, Internet of Things (IoT), Data Science, and Intelligent Computing
Oxford University Press
Description
Artificial Intelligence and Computational Thinking has been developed in accordance with contemporary curriculum requirements and educational frameworks that emphasize digital literacy, problem-solving, data handling, and emerging technologies. The content is organized to provide students with a comprehensive understanding of computing systems, including computer hardware, software, operating systems, memory, processors, and input/output devices. Building upon this foundation, the book introduces the principles of logical reasoning, problem solving, and computational thinking, which serve as essential skills for modern learners and future innovators.
Recognizing the growing importance of data in today’s world, several chapters focus on data management,operations, spreadsheets, visualization techniques, and interpretation of information. The book also familiarizes students with AI concepts, real-world applications, and the fundamental principles of machine learning, helping them understand how intelligent systems are designed and utilized. Examples, illustrations, practical applications, and skill-based discussions have been incorporated throughout the text to facilitate meaningful learning. The progression of topics ensures conceptual clarity while encouraging critical thinking, creativity, and analytical reasoning. Overall, the book serves as a valuable resource for students seeking a strong foundation in Artificial Intelligence, Computational Thinking, and contemporary digital technologies
Reema Thareja is Assistant Professor at the School of Open Learning, University of Delhi. She has more than 21 years of teaching experience and specializes in computer fundamentals, Artificial Intelligence, Data Science and Machine Learning, and programming languages such as C, C++ and Python.
Dr Sumathi is Professor in St. Josephs college of Engineering, Chennai and the Founder and CEO of iThynx Solutions Pvt. Ltd. Dr. Sumathi continues to work at the intersection of research, technology, and entrepreneurship, with a vision of transforming emerging AI technologies into solutions that create meaningful
impact.
L. Sherly Pushpa Annabel is Professor in the Department of Artificial Intelligence and Data Science at St. Joseph’s College of Engineering, Chennai. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Wireless Sensor Networks, Internet of Things (IoT), Data Science, and Intelligent Computing
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