Discrete Mathematics is a systematically structured academic textbook that provides a rigorous exploration of fundamental mathematical concepts essential for various disciplines, particularly computer science and engineering. The book comprehensively covers key topics, including set theory, relations, propositional calculus, functions, Boolean algebra, recurrence relations, graph theory, trees, planar graphs, combinatorial counting principles, algebraic systems, and matrix algebra. The text is designed to facilitate a progressive understanding of discrete mathematical structures, beginning with foundational principles and advancing toward more complex theoretical frameworks. Each chapter presents clearly defined concepts, supplemented with illustrative examples, well-structured exercises, and relevant diagrams to reinforce comprehension and analytical reasoning. A distinguishing feature of this book is its emphasis on the practical applicability of discrete mathematics in computational and algorithmic problem-solving. Topics such as graph theory, Boolean algebra, and recurrence relations play a pivotal role in the design and analysis of algorithms, data structures, and digital logic circuits. Furthermore, the integration of combinatorial techniques and algebraic structures enhances students’ ability to model and solve real-world mathematical problems. With its academic rigor and structured pedagogical approach, this book is well-suited for undergraduate students, educators, and researchers seeking a deeper insight into discrete mathematical principles. The accessible yet comprehensive presentation ensures that learners with diverse mathematical backgrounds can engage effectively with the material. Discrete Mathematics serves as a valuable resource for fostering logical reasoning, problem-solving skills, and mathematical abstraction, making it indispensable for academic and professional growth.