Foundations of Computer Science & Systems Design: From Digital Logic to Software Architecture — An Integrated Python-Driven Guide - Tapa blanda

Sinopsis

The Complete CS Foundation — From Transistors to Transformers

Foundations of Computer Science & Systems Design is a first-principles, Python-integrated technical textbook that takes B.Tech, BS/MS, BSe, B.E., BCA, and diploma engineering students on a complete journey — from the physics of transistors and Boolean algebra, through computer architecture and operating systems, to machine learning, neural networks, and cloud computing. Eighteen chapters. Six structured parts. One coherent path.

What You Will Learn

• Boolean algebra, logic gates, Karnaugh map minimisation


• Number systems: binary, octal, hexadecimal, and BCD arithmetic


• Combinational circuit design — adders, decoders, multiplexers, ALUs


• Sequential circuits — flip-flops, registers, counters, finite state machines


• CPU architecture, instruction sets, pipelining, and memory hierarchy


• Operating systems: process scheduling, memory management, file systems


• Python programming from fundamentals to recursion and OOP


• Data structures and algorithms with Big-O complexity analysis


• NumPy, Pandas, and Python for data science and analytics


• Machine learning: regression, classification, decision trees, SVMs


• Neural networks, deep learning, and Transformer architectures


• Cloud computing infrastructure, virtualisation, and green IT

Six-Part Structure — 18 Chapters

• Part I (Ch 1–3): Computing Fundamentals and Digital Systems


• Part II (Ch 4–6): Number Systems and Binary Arithmetic


• Part III (Ch 7–9): Boolean Logic and Combinational Circuits


• Part IV (Ch 10–12): Logic Design and Sequential Circuits


• Part V (Ch 13–16): Python Programming and Data Structures


• Part VI (Ch 17–18): Machine Learning, AI, and Cloud Systems

Curriculum-Aligned for Indian Universities

Aligned with the Computer Science & Engineering (CSE), AI & Computer Science (AICS), and Computer Science & Data Analytics (CSDA) curricula at IIT Patna, IIT Madras, IIT Bombay, IIT Delhi, IIT Kharagpur, IIT Roorkee, IIT Kanpur, NIT Trichy, NIT Warangal, NITK Surathkal, BITS Pilani, VIT, and hundreds of AICTE-affiliated engineering colleges. Covers syllabi for courses commonly designated CS101, CS201, CS301, CS401, and CS501 across multiple universities.

Key Features

• 90+ hand-crafted technical diagrams — every concept visualised


• 18 Python laboratory sessions with complete, runnable code


• Exercises graded Easy / Medium / Hard in every chapter


• Chapter-opening real-world motivation and learning outcomes


• Key-terms glossary and prerequisites listed at every chapter


• One-semester path (Parts I–III) or full two-semester course (all 6 parts)


• Self-paced learning path for software engineers and CS professionals

Published by Dhurta Organisation — committed to open, accessible engineering and computer science education. First Edition 2026. Available on Amazon, Dhurta.org

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