NIT Andhra Pradesh prof publishes book on discrete mathematics and applications

The book accompanies a digital learning app that provides access to material in the form of flashcards, practice problems and laboratory exercises.

National Institute of Technology (NIT) Andhra Pradesh assistant professor Karthick Seshadri has written a book titled ‘Discrete Mathematics with Applications’, a key prerequisite for emerging courses such as machine learning, artificial intelligence and data science, among others. NIT Andhra Pradesh Director Prof CSP Rao released the book, which was co-authored with K Viswanathan Iyer, who was a professor in the Department of Computer Science and Engineering, NIT Trichy.  

Book can be used as textbook for discrete mathematics course  

The book is suitable to be used as a textbook for the discrete mathematics course which is typically offered as part of the BTech and MCA programmes. It accompanies a digital learning app that provides access to material in the form of flashcards, practice problems and laboratory exercises. 

Prof CSP Rao said, “It is important for faculty of higher learning institutes to publish textbooks to disseminate innovative pedagogical content and experiential learning to the stakeholders of technical education. I am happy to state that several textbooks are in the pipeline to be published by the faculty of NIT Andhra Pradesh.” 

He said many subjects such as algorithms and cryptography demand a simple and experimental understanding of basic concepts in mathematical sciences and this book will accomplish such a requirement. Karthick Seshadri said, “The book is written in an easy-to-comprehend style used for demonstrating many mathematical constructs and contains examples to clarify many abstract concepts useful in the study of computer science. Many formal arguments are introduced in a student-friendly manner and numerous exercises are provided to assess the understanding of the content covered.” 

The book is organised into six chapters, one each on logic, functions and relations; combinatorics; basic group theory, graph theory; and finite automata (traditionally, this belongs to theory of computing), and discrete probability theory. 

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