He is currently Professor and Head, MCA Department, Meghnad Saha Institute of Technology (a Unit of Techno India Group), Kolkata. He did his M.Sc. in Applied Mathematics from Jadavpur University, Kolkata, M.Tech. from IIT, Kharagpur and was awarded Ph.D. from BIT, Mesra, Ranchi. He has worked in St. Edmunds College/Shillong, a renowned college in North Eastern Region and Indian Railways Institute of Mechanical & Electrical Engg./Jamalpur, one of the premier institutes of the nation. He has more than 45 years of teaching experience in reputed degree and engineering colleges. He was selected and deputed from Indian Railways for a one-year course in U.K. in the field of Training Management under British Council. He has published several papers in national and international journals. He has to his credit authorship of following books: 1. Engineering Mathematics I & II for WBUT 2. Mathematical Foundation for Computer Science for JNTU 3. Mathematics for Computing for WBUT 4. Elements of Computer Science 5. Numerical Methods & Programming for WBUT
About the Book
This textbook provides an introduction to some fundamental concepts in Discrete Mathematics and the important role this subject plays in computer science. Every topic in this book has been started with necessary introduction and developed gradually up to the standard form. The book lays emphasis on the applicability of Mathematical structures to computer science. The content of this book is well supported with numerous solved examples with detailed explanation.
• Lays emphasis on the applicability of mathematical structures to computer science
• Bolstered with numerous solved examples with detailed explanations
• Includes solved MCQs at the end of each chapter
Table of Content
• A Brief Survey of Discrete Mathematics • Mathematical Logic • Boolean Algebra and Logic Circuits • Set Theory • Matrices • Number Theory • Relation • Function • Posets and Lattices • Combinatorics • Recurrence Relation and Generating Function • Group Theory • Rings and Fields • Graph Theory - I • Graph Theory - II • Trees • Language, Grammar and Automata • Time Complexity of Algorithm • Vector Spaces • Elements of Coding Theory