An Introduction to Discrete Mathematics offers an engaging and accessible introduction to discrete mathematics for beginning undergraduate students across a wide range of application areas, from mathematics to statistics, operations research, business, engineering, and the sciences. It provides solid foundation in precise proof writing methods, with early chapters introducing set theory and logic that are followed by deductive and inductive proof techniques, number theory, counting principles, permutations and combinations, probability of events, random variables, graphs, and weighted graphs.
The book illustrates fundamental concepts in discrete mathematics with clear and precise definitions that are paired with examples and counter-examples as applied in combinatorics, discrete probability, and graph theory. Chapters include student exercises to enhance learning, and a solutions manual and example questions are available for instructors on a companion website.
Offers a concise, practical foundation in discrete mathematics that is ideal for a one semester undergraduate course
Addresses applications in mathematics, statistics, operations research, business, engineering, and the sciences
Features clear definitions, examples, and student exercises across all chapters
Includes a Solutions Manual and example PollEverywhere questions on an instructor site
Review
Offers an engaging, accessible introduction to discrete mathematics and its applications
From the Back Cover
An Introduction to Discrete Mathematics offers an engaging, accessible introduction to discrete mathematics for beginning undergraduate students across a wide range of disciplines, from mathematics to statistics, operations research, business, engineering, and the sciences. It provides a solid foundation in precise proof writing methods, with early chapters introducing set theory and logic, followed by deductive and inductive proof techniques, number theory, counting principles, permutations and combinations, probability of events, random variables, graphs, and weighted graphs.
In a succinct, one semester format,
An Introduction to Discrete Mathematics illustrates fundamental concepts in discrete mathematics with clear and precise definitions. These are paired with examples and counter-examples with applications in combinatorics, discrete probability, and graph theory, with accompanying student exercises at the end of each chapter. A Solutions Manual and PollEverywhere example questions are available for instructors on a companion website.
About the Author
Professor Kulkarni received his Bachelors in Mechanical Engineering in 1976 from the Indian Institute of Technology, Bombay, and his Doctorate in Operations Research from Cornell University, in 1980. He is currently a Professor in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill. Dr. Kulkarni is an author of an undergraduate textbook titled Introduction to Modeling and Analysis of Stochastic Systems, and a graduate textbook titled Modeling and Analysis of Stochastic Systems.
