SCO 210-211, New Petrol Pump, Sec-34A,
Chandigarh
7696866526,
0172 2665665
The book is authored by Amanpreet Kaur and Harpreet Kaur Wadhwa.
This textbook is specifically crafted for BCA (Bachelor in Computer Applications) students entering their third year, particularly for semester 5 at Panjab University, Chandigarh.
Discrete mathematics provides essential principles and tools that underlie various areas of computer science, including algorithms, data structures, cryptography, and programming. It helps students understand theoretical concepts and practical applications critical to their future careers in technology.
The book covers several critical areas of discrete mathematics, including: Set theory Relations Functions Recursion and recurrence relations Graph theory Finite state machines and languages Analysis of algorithms
The content is organized into seven chapters, each focusing on a specific area of discrete mathematics, complemented by question papers at the end for practice.
The book includes: Clear explanations of complex concepts Practical examples linking theory to programming practice Engaging problem sets, particularly in graph theory A dedicated section for analyzing algorithms Question papers for self-assessment and exam preparation
Students can expect to develop analytical and problem-solving skills, an understanding of mathematical concepts in computer science, proficiency in recursion and graph theory, as well as competency in analyzing algorithm efficiency.
While prior knowledge of basic mathematical concepts is helpful, the book is designed to be accessible to students entering the third year of their BCA program. It builds from fundamental topics to more complex ideas.
The book includes question papers at the end, allowing students to practice and familiarize themselves with the types of questions that may appear in exams, helping to build confidence as they prepare.
Yes, the book emphasizes practical applications, particularly in programming and algorithm design, helping students bridge the gap between theoretical concepts and real-world coding practices.
