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Discrete Mathematics: An Experiential Learning Perspective – Haribhau R. Bhapkar & Parikshit N. Mahalle – 1st Edition 2026 | Discrete Mathematics

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2026/2027 Written for academic year
Institution Discrete Mathematics
Course Discrete Mathematics
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This book aims at presenting and exploring an experiential learning techniques for Discrete Mathematics along with the new paradigm shift of various educational policies across the globe. An experiential learning addresses the limitations of current pedagogy and learning techniques. The teaching of Discrete Mathematics traditionally leans heavily on theory. This book aims to bridge that gap by introducing an experiential dimension - learning by doing, reflecting, and connecting theory with practices/activities. To enhance conceptual understanding, the book adheres the “BEIMI” philosophy. The acronym “BEIMI” stands for Brainstorming Experiments/Activities (BE), Inferences (I) and Mathematical Insights (MI). Additionally, the case studies/ projects are given chapter wise. There is one separate chapter for every component of Discrete Mathematics which covers overview, fundamentals, working principles, case studies, and projects. This book is useful for academicians, researchers, students, professionals working in the various fields. It provides possible experiential, and multidisciplinary research directions including Mathematics, Science, Technology, Engineering, Arts, Management and other related fields

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Studies in Autonomic,
Data-driven and Industrial Computing




Haribhau R. Bhapkar
Parikshit N. Mahalle


Discrete
Mathematics:
An Experiential
Learning
Perspective

,Studies in Autonomic, Data-driven
and Industrial Computing


Series Editors
Swagatam Das , Indian Statistical Institute, Kolkata, India
Jagdish Chand Bansal , South Asian University, Chanakyapuri, India

,The book series Studies in Autonomic, Data-driven and Industrial Computing
(SADIC) aims at bringing together valuable and novel scientific contributions that
address new theories and their real world applications related to autonomic,
data-driven, and industrial computing. The area of research covered in the series
includes theory and applications of parallel computing, cyber trust and security,
grid computing, optical computing, distributed sensor networks, bioinformatics,
fuzzy computing and uncertainty quantification, neurocomputing and deep learning,
smart grids, data-driven power engineering, smart home informatics, machine
learning, mobile computing, internet of things, privacy preserving computation, big
data analytics, cloud computing, blockchain and edge computing, data-driven green
computing, symbolic computing, swarm intelligence and evolutionary computing,
intelligent systems for industry 4.0, as well as other pertinent methods for
autonomic, data-driven, and industrial computing.
The series will publish monographs, edited volumes, textbooks and proceedings
of important conferences, symposia and meetings in the field of autonomic,
data-driven and industrial computing.

, Haribhau R. Bhapkar · Parikshit N. Mahalle




Discrete Mathematics:
An Experiential Learning
Perspective
Connected book
image
Haribhau R. Bhapkar, Parikshit N. Mahalle Discrete Mathematics: An Experiential Learning Perspective
Publisher: 2026 ISBN: 9789819572106 Edition: Unknown

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  • discrete mathematics
  • logic and proofs
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  • sets and relations
  • combinatorics
  • discrete mathematics an experiential learning per

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