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computer science and programming

computer science and programming
This book is 100% completeLast updated on 2026-09-25

Start Your Computer Science Journey with Strong Fundamentals

A beginner-friendly guide covering computer fundamentals, number systems, algorithms, programming, problem-solving, OOP, data structures, and file handling—with clear explanations, practical examples, exercises, and a step-by-step learning approach.

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About

About

About the Book

Introduction to Computer Science and Programming: A Beginner’s Guide for Students is a practical and student-friendly introduction to the fundamental concepts of Computer Science and programming. Designed especially for beginners, this book takes readers step by step from basic computer concepts to programming, problem-solving, object-oriented programming, data structures, and file handling.

The book begins with the foundations of Computer Science, including computer systems, hardware and software, computer architecture, number systems, data representation, and Boolean logic. It then introduces programming concepts such as algorithms, flowcharts, pseudocode, programming paradigms, development environments, variables, data types, operators, control structures, functions, arrays, strings, and memory concepts.

Readers are also introduced to Object-Oriented Programming concepts such as classes, objects, encapsulation, inheritance, polymorphism, abstraction, exception handling, and modular programming. The later chapters provide an introduction to data structures and file handling, helping learners connect programming concepts with practical problem-solving.

Written in clear and easy-to-understand language, the book emphasizes conceptual understanding rather than simply memorizing programming syntax. Examples, illustrations, flowcharts, practical explanations, exercises, and programming activities are used to make learning more engaging and accessible.

This book is suitable for BCA, MCA, Computer Science, IT, and other undergraduate students, as well as beginners and self-learners who want to establish a strong foundation before moving into advanced areas such as Artificial Intelligence, Machine Learning, Data Science, Web Development, Cybersecurity, and Cloud Computing.

Whether you are learning Computer Science for the first time, preparing for university examinations, or building a foundation for a career in technology, this book provides a structured starting point for your journey into Computer Science and Programming.

Author

About the Author

Anshuman Mishra

Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University

Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience

Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.

Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.

Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.

His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.

Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.

When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.

Contents

Table of Contents

Chapter-wise Contents Unit I: Foundations of Computer Science Chapter 1: Introduction to Computer Science 1-12 1.1 Definition and scope of Computer Science 1.2 Importance of computer science in modern life 1.3 Evolution of computers – from early machines to modern systems 1.4 Applications of computer science in various fields Chapter 2: Basics of Computer Systems 13-29 2.1 Characteristics of computers 2.2 Types of computers (Micro, Mini, Mainframe, Supercomputers) 2.3 Hardware vs Software 2.4 Input, Output, Storage devices 2.5 Computer architecture (basic concepts: CPU, memory, I/O units) Chapter 3: Number Systems and Data Representation 30-46 3.1 Decimal, Binary, Octal, Hexadecimal 3.2 Conversion between number systems 3.3 Signed and unsigned numbers 3.4 Representation of characters (ASCII, Unicode) 3.5 Boolean algebra basics Unit II: Programming Fundamentals Chapter 4: Introduction to Programming 47-59 4.1 What is programming? 4.2 Algorithm and flowcharts 4.3 Programming paradigms: Procedural, Object-Oriented, Functional 4.4 Overview of programming languages (C, Python, Java, etc.) Chapter 5: Basics of Problem-Solving 60-72 5.1 Problem definition and analysis 5.2 Breaking down problems into smaller parts 5.3 Stepwise refinement 5.4 Pseudocode and flowchart design Chapter 6: Programming Environment 73-86 6.1 Installing and setting up programming tools (IDE, compilers, interpreters) 6.2 Writing, compiling, and running programs 6.3 Debugging basics Unit III: Programming Concepts in Depth Chapter 7: Variables, Data Types, and Operators 87-99 7.1 Constants and variables 7.2 Primitive data types 7.3 Type casting and type conversion 7.4 Arithmetic, relational, logical, and assignment operators Chapter 8: Control Structures 100-120 8.1 Sequential execution 8.2 Decision making: if, if-else, nested if, switch-case 8.3 Loops: while, do-while, for loops 8.4 Break and continue Chapter 9: Functions and Modular Programming 121-143 9.1 Concept of functions and methods 9.2 Function definition and declaration 9.3 Parameter passing: call by value, call by reference 9.4 Recursion 9.5 Advantages of modular programming Chapter 10: Arrays and Strings 144-162 10.1 One-dimensional and multi-dimensional arrays 10.2 Operations on arrays (traversal, insertion, deletion, searching, sorting) 10.3 Introduction to strings 10.4 String manipulation techniques Chapter 11: Pointers and Memory Management (if C/C++ used) 163-184 11.1 Concept of pointers 11.2 Pointer arithmetic 11.3 Dynamic memory allocation (malloc, calloc, free) 11.4 Advantages and limitations of pointers Unit IV: Object-Oriented Programming Concepts (Optional) Chapter 12: Introduction to OOP 185-209 12.1 Features of OOP: Encapsulation, Inheritance, Polymorphism, Abstraction 12.2 Classes and objects 12.3 Constructors and destructors Chapter 13: Advanced OOP Concepts 210-232 13.1 Inheritance and types of inheritance 13.2 Method overloading and overriding 13.3 Interfaces and abstract classes 13.4 Exception handling Unit V: Data Structures and Advanced Topics Chapter 14: Introduction to Data Structures 234-261 14.1 Need for data structures 14.2 Arrays, linked lists, stacks, queues 14.3 Applications of data structures Chapter 15: File Handling 262-283 15.1 Types of files: text and binary 15.2 Opening, reading, writing, and closing files 15.3 File operations in C/Python

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