Programming Logic and Problem Solving: A language-independent foundation for logical and algorithmic thinking (English Edition)

Mastering programming logic and computational thinking is the essential foundation for coding. Written in learner-friendly language with real-life analogies, this book systematically guides you step-by-step through core principles without overwhelming complexity, building a strong foundation for your future programming skills.

This book begins with computer architecture, memory hierarchy, and number systems, then introduces logic design using variables, data types, operators, flowcharts, and algorithms. You will explore selection structures for decision making, starting with simple if-else logic and progressing to advanced nested structures, else-if ladders, and switch-case branching. The text deepens your skills with core looping mechanics, entry- and exit-controlled repetition, tracing methods, mathematical applications, and nested loop patterns. Finally, you will learn program structuring through modular programming, data organization using one-dimensional and multi-dimensional arrays, and persistent file handling operations.

By the end of this book, you will be well-equipped to transition from logic design to programming languages like C, Python, or Java and possess a solid foundation ready for advanced programming courses.

What you will learn

● Strengthen programming logic independent of programming language syntax.

● Create algorithms systematically.

● Analyze and create flowcharts for logical visualization.

● Write clear and standard pseudocode effectively.

● Learn dry runs by tracing logic.

● Learn to solve problems systematically.

Who this book is for

This book is ideal for diploma, degree, BCA, MCA, and BSc IT students, as well as faculty members, educators, and cross-discipline learners. No prior coding knowledge is required; it builds strong logical foundations before you study C, Python, or Java.

Table of Contents

1. Introduction to Computer Systems

2. Introduction to Logic

3. Fundamentals of Selection for Decision Making

4. Advanced Selection Structures for Decision Making

5. Core Concepts and Simple Repetition in Looping,

6. Tracing and Advanced Applications of Looping

7. Nested Loops and Advanced Logical Patterns

8. Modular Programming and Basic Program Structuring

9. Arrays and Fundamental Data Organization

10. Fundamentals of File Handling

11. Learning Path Ahead