COE Digital Library
Access official course handbooks, lab manuals, reference books, and guidelines curated for Centre of Excellence students.
All Available Books (39)
AI for Kids
By Dale Lane
Level: School StudentsA fun and friendly introduction to artificial intelligence concepts for younger students using hands-on games.
Python for Kids
By Jason R. Briggs
Level: School StudentsA playful introduction to programming fundamentals using Python with illustrations and puzzle-solving exercises.
Machine Learning for Kids
By Dale Lane
Level: School StudentsHands-on projects and guides to help kids build and train machine learning models.
Python Crash Course
By Eric Matthes
Level: 11th–12th / BeginnersA fast-paced, thorough introduction to Python programming that will have you writing programs, solving problems, and making things that work in no time.
Introduction to Machine Learning with Python
By Andreas C. Müller & Sarah Guido
Level: 11th–12th / BeginnersA practical beginner's guide to machine learning using Python and the scikit-learn library.
Think Python
By Allen B. Downey
Level: 11th–12th / BeginnersAn introduction to Python programming for beginners focusing on computer science concepts and computational thinking.
Programming Python
By Mark Lutz
Level: 11th–12th / BeginnersIn-depth tutorials on using Python for system administration, GUIs, databases, and network programming.
Automate the Boring Stuff with Python
By Al Sweigart
Level: 11th–12th / BeginnersA practical programming guide for total beginners to write scripts for automated tasks, scraping, and spreadsheet manipulation.
AI and Machine Learning for Coders
By Laurence Moroney
Level: 11th–12th / BeginnersA programmer-focused guide to building AI and ML models with TensorFlow.
Artificial Intelligence: A Modern Approach
By Stuart Russell & Peter Norvig
Level: B.Tech (AI/CS/IT/ECE)The definitive, most widely used university textbook on artificial intelligence, covering all major subfields.
Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow
By Aurélien Géron
Level: B.Tech (AI/CS/IT/ECE)A comprehensive, project-driven guide to using Python libraries to build intelligence into your systems.
Deep Learning with Python
By François Chollet
Level: B.Tech (AI/CS/IT/ECE)An intuitive, code-first introduction to deep learning using the Keras library, written by its creator.
Practical Statistics for Data Scientists
By Peter Bruce, Andrew Bruce & Peter Gedeck
Level: B.Tech (AI/CS/IT/ECE)Key statistical concepts necessary for data science, formatted with python references.
TensorFlow in Action
By Joseph Howse
Level: B.Tech (AI/CS/IT/ECE)A practical, code-heavy walkthrough to building machine learning applications using TensorFlow.
Data Science from Scratch
By Joel Grus
Level: B.Tech (AI/CS/IT/ECE)Learn data science fundamentals by implementing algorithms from first principles in Python.
Deep Learning
By Ian Goodfellow, Yoshua Bengio & Aaron Courville
Level: M.TechThe comprehensive math-oriented textbook on deep learning, explaining algorithms, networks, and theory.
Mathematics for Machine Learning
By Marc Peter Deisenroth, A. Aldo Faisal & Cheng Soon Ong
Level: M.TechMathematical concepts including linear algebra, vector calculus, probability, and statistics needed for machine learning.
Natural Language Processing with Transformers
By Lewis Tunstall, Leandro von Werra & Thomas Wolf
Level: M.TechA guide to building NLP applications using Hugging Face transformers, PyTorch, and TensorFlow.
Generative Deep Learning
By David Foster
Level: M.TechLearn how to teach machines to paint, write, play music, and think using generative AI models.
Bayesian Reasoning and Machine Learning
By David Barber
Level: M.TechA practical guide for machine learning engineers focusing on probabilistic reasoning and Bayesian networks.
Machine Learning: A Probabilistic Perspective
By Kevin P. Murphy
Level: M.TechA comprehensive, probabilistic framework for statistical machine learning.
Speech and Language Processing
By Daniel Jurafsky & James H. Martin
Level: M.TechThe leading textbook on natural language processing, computational linguistics, and speech recognition.
Probabilistic Graphical Models
By Daphne Koller & Nir Friedman
Level: Research / PhDAdvanced framework for reasoning, learning, and decision-making under uncertainty using graphical models.
Reinforcement Learning: An Introduction
By Richard S. Sutton & Andrew G. Barto
Level: Research / PhDA foundational text explaining reinforcement learning algorithms, dynamics, and decision processes.
Speech and Language Processing
By Daniel Jurafsky & James H. Martin
Level: Research / PhDAdvanced natural language processing algorithms, sequence models, and deep learning systems.
Artificial Intelligence: Foundations of Computational Agents
By David L. Poole & Alan K. Mackworth
Level: Research / PhDA modern foundation textbook detailing agent architecture, logic, search spaces, and machine learning.
Mastering Open Source Threat Analysis Strategies
By Vishal Rai
Analyzing security threats, open-source intelligence gathering, and tracking adversaries.
Expert Linux Guide Administration
By Vishal Rai
Practical guide to advanced Linux system administration, bash scripting, and server configuration.
Mastering Network Forensics
By Nipun Jaswal
Investigating network anomalies, packet analysis, logs forensic tracking, and traffic investigation.
Mastering Network Forensics
By Nipun Jaswal
Analyzing network attacks, deep packet inspections, tracking intrusion traces, and server log investigations.
Hands-on Penetration Testing for Web Applications
By Richa Gupta
Detailed walkthroughs on finding and exploiting web vulnerabilities, cross-site scripting, and SQL injection.
Cracking the Cybersecurity Interview: Essential Strategies and Learn Concepts
By Karl Gilbert
A detailed preparation guide containing key questions, security domains, and techniques for cybersecurity interviews.
Cyber Forensics: Up and Running
By Tarun Vashishth
Practical introduction to digital forensics, file carving, memory analysis, and artifact reconstruction.
Solar System: Structure, Formation and Exploration
By Matteo de Rossi & W. K. Hartmann
Detailed study of the planetary formations, astronomical surveys, solar activities, and deep space exploration.
An Introduction to Relativity
By J. A. Peacock
An introduction to Einstein's theory of general and special relativity, spacetime gravity geometry, and astrophysics.
Theoretical Astrophysics, Volume III: Galaxies and Cosmology
By T. Padmanabhan
Advanced mathematical formulation of galaxy dynamics, structure formations, cosmic microwave background, and dark matter.
Fundamentals of Astrophysics
By Stan Owocki
An overview of stellar structure, stellar evolution, radiative transfer, and basic celestial mechanics.
Aircraft Control and Simulation
By Brian L. Stevens & Frank L. Lewis
Foundations of flight modeling, aircraft dynamics, sensor simulation, control design, and UAV auto-pilot algorithms.
Automation, Production Systems and Computer-Integrated Manufacturing
By Mikell P. Groover
Automation control laws, robotics applications, and production systems integrated with computer aid.