Discrete Mathematics: An Experiential Learning Perspective (Studies in Autonomic, Data-driven and Industrial Computing)

Bhapkar, Haribhau R./ Mahalle, Parikshit N.

Springer Verlag, Singapore（2026/04発売）

• 製本 Hardcover:ハードカバー版／ページ数 213 p.
• 言語 ENG
• 商品コード 9789819572090

Full Description

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.

Contents

1. Why Discrete Mathematics.- 2. Introduction.- 3. Sets.- 4. Relations.- 5. Functions.- 6. Logic and Proofs.- 7. Permutations and Combinations.- 8. Discrete Probabilities.