README.md

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Semester 1

• Design and Analysis of Algorithms

  • J. Kleinberg and E.Tardos, Algorithm Design
  • Sanjoy Dasgupta, Christos Papadimitriou and Umesh Vazirani, Algorithms
  • T.H. Cormen, C.E. Leiserson, R.L. Rivest and C. Stein, Introduction to Algorithms
  • Vijay V. Vazirani, Approximation Algorithms
  • Bernhard Korte and Jens Vygen, Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

• Artificial Intelligence

  • S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach
  • Elaine Rich and Kelvin Knight, Artificial Intelligence
  • Dan W. Patterson, Introduction to A.I. and Expert Systems
  • Michael Wooldridge, An Introduction to MultiAgent Systems
  • Fabio Luigi Bellifemine, Giovanni Caire, Dominic Greenwood, Developing Multi-Agent Systems with JADE
  • W.F. Clocksin and C.S. Mellish, Programming in PROLOG
  • Ivan Bratko, Prolog Programming for Artificial Intelligence

• Information Security

  • W. Stalling, Cryptography and Network Security Principles and Practices
  • A.J. Elbirt, Understanding and Applying Cryptography and Data Security
  • C. Pfleeger and SL Pfleeger, Jonathan Margulies, Security in Computing
  • M. Merkow and J. Breithaupt, Information Security: Principles and Practices

• Mathematical Foundations of Computer Science

  • Serge Lang, Introduction to Linear Algebra
  • Gilbert Strang, Introduction to Linear Algebra
  • Sheldon M. Ross, Probability Models for Computer Science
  • Ernest Davis, Linear Algebra and Probability for Computer Science Applications
  • Kishor S. Trivedi, Probability and Statistics with Reliability, Queuing and Computer Science Applications
  • Richard Cotton, Learning R: a step by step function guide to data analysis
  • Mark Gardener, Beginning R: The statistical programming language

• Data Mining

  • J Zaki Mohammed and Wagner Meira, Data Mining and Analysis: Fundamental Concepts and Algorithms
  • P. Tan, M. Steinbach, A Karpatne, and V. Kumar, Introduction to Data Mining
  • Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques
  • Charu C Agrawal, Data Mining: The Textbook

Semester 2

• Machine Learning

  • E. Alpaydin, Introduction to Machine Learning
  • T Hastie, R Tibshirani and J Friedman, The Elements of Statistical Learning Data Mining, Inference, and Prediction
  • C. M. Bishop, Pattern Recognition and Machine Learning
  • R. O. Duda, P. E. Hart, and D.G. Stork, Pattern Classification
  • Simon O. Haykin, Neural Networks and Learning Machines

• Advanced Operating Systems

  • Maurice J. Bach, Design of the UNIX Operating System
  • Silberschatz, Galvin and Gagne, Operating Systems concepts
  • A S Tanenbaum, Maarten Van Steen, Distributed Operating systems

• Mobile and Satellite Communication Networks

  • A.S. Tanenbaum, David J Wetherall, Computer Networks
  • Behrouz A. Forouzan, Data Communications and Networking
  • M. Richharia, Mobile Satellite Communications: Principles & Trends

• Combinatorial Optimization

  • Bernhard Korte and Jens Vygen, Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)
  • Matousek and Gartner, Understanding and Using Linear Programming
  • C.H. Papadimitriou and K.Steiglitz, Combinatorial Optimization: Algorithms and complexity
  • Mokhtar S.Bazaraa, John J. Jarvis and Hanif D. Sherali, Linear Programming and Network Flows
  • H.A. Taha, Operations Research An Introduction

• Digital Image Processing

  • Rafael C. Gonzalez and Richard E.Woods, Digital Image Processing
  • Bernd Jahne, Digital Image Processing
  • S. Annadurai and R. Shanmugalakshmi, Fundamentals of Digital Image Processing

• Compiler Design

  • Alfred V. Aho, Ravi Sethi, D. Jeffrey Ulman, Monica S. Lam, Compilers: Principles, Techniques and Tools

• Database Applications

  • A. Silberschatz, H. Korth and S. Sudarshan, Database System Concepts
  • Loney and Koch, Oracle 10g The Complete Reference
  • J. Morrison, M. Morrison and R. Conrad, Guide to Oracle 10g
  • David Flanagan, JavaScript: The Definitive Guide
  • Marty Hall, Larry Brown, and Yaakov Chaikin, Core Servlets and Javaserver Pages: Core Technologies, Vol. 2

• Java Programming

  • James Gosling, Bill Joy, Guy L. Steele Jr, Gilad Bracha, Alex Buckley, The Java Language Specification, Java SE 7 Edition
  • Cay S. Horstmann, Core Java - Vol. I – Fundamentals
  • Deitel & Deitel, Java - How to Program
  • Herbert Schildt, Java: The Complete Reference

• GPU Programming

  • Shane Cook, CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
  • Norman Matloff, Parallel Computing for Data Science: With Examples in R, C++ and CUDA

Semester 3

• Cyber Security

  • Peter W. Singer and Allan Friedman, Cybersecurity and Cyberwar
  • Jonathan Clough, Principles of Cybercrime
  • Jie Wang, Zachary A. Kissel, Introduction to Network Security: Theory and Practice
  • Michael Bazzell, Open Source Intelligence Techniques: Resources for Searching and Analyzing Online Information
  • Robert Radvanovsky, Jacob Brodsky, Handbook of SCADA/Control Systems Security
  • Ed Skoudis, Lenny Zeltser, Malware: Fighting Malicious Code
  • Michael Sikorski, Andrew Honig, Practical Malware Analysis: The Hands-On Guide to Dissecting Malicious Software

• Graph Theory

  • Douglas B West, Introduction to Graph Theory
  • Gary Chartrand and Ping Zhang, Introduction to Graph Theory
  • Jonathan L. Gross and Jay Yellen, Graph Theory and Its Applications

• Network Science

  • Mohammed J. Zaki, Wagner Meira Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms
  • Albert Barabasi, Network Science
  • M.E. J. Newman, Networks: An Introduction
  • David Easley and Jon Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected World

• Deep Learning

  • Ian Goodfellow, Deep Learning
  • Li Deng(Author), Dong Yu, Deep Learning: Methods and Applications (Foundations and Trends in Signal Processing)

• Neural Networks

  • Simon O. Haykin, Neural Networks and Learning Machines
  • C. M. Bishop, Pattern Recognition and Machine Learning

• Modeling and Simulation

  • Ross, S., Simulation
  • Frank L. Severance, System Modeling And Simulation: An Introduction
  • Jerry Banks, John S. Carson II, Barry L. Nelson, Devid M. Nicol, P. Shahabudeen, Discrete-Event system simulation
  • A.M. Law and W.D. Kelton, Simulation and Modeling and analysis

• Computational Intelligence

  • Leszek Rutkowski, Computational Intelligence: Methods and Techniques

• Parallel and Distributed Computing

  • Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar, Introduction to Parallel Computing
  • B. Parhami, Introduction to Parallel Processing: Algorithms and Architectures
  • M. van Steen, A. S. Tanenbaum, Distributed Systems

• Software Quality Assurance and Testing

  • N.S. Godbole, Software Quality Assurance: Principles and Practice for the New Paradigm
  • G. Gordon Schulmeyer, Handbook of Software Quality Assurance
  • G. O’Regan, A Practical Approach to Software Quality
  • Daniel Galin, Quality Assurance: From theory to implementation
  • S.H. Kan, Metrics and Models in Software Quality Engineering
  • J.D. McGregor and D.A. Sykes, A Practical Guide to Testing
  • Glenford J. Myers, The Art of Software Testing
  • D. Graham, E.V. Veenendaal, I. Evans and R. Black, Foundations of Software Testing

• Text Analytics

  • Ricardo Baeza–Yates, Berthier Ribeiro–Neto, Modern Information Retrieval: The concepts and Technology behind Search
  • Christopher D. Manning, Prabhakar Raghavan, Hinrich Schutze, Introduction to Information Retrieval
  • Steven Struhl, Practical Text Analytics: Interpreting Text and Unstructured Data for Business Intelligence
  • Matthew A. Russell, Mining the Social Web

• Multi-Agent Systems

  • Michael Wooldridge, An Introduction to MultiAgent Systems
  • S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach
  • Rafael H. Bordini, Jomi Fred Hübner, Michael Wooldridge, Programming Multi-Agent Systems in AgentSpeak using Jason
  • Fabio Luigi Bellifemine, Giovanni Caire, Dominic Greenwood, Developing Multi-Agent Systems with JADE

• Steganography and Digital Watermarking

  • I.J.Cox, M.L.Miller, J.A.Bloom, J.Fridrich, T.Kalker, Digital Watermarking and Stegonagraphy
  • F.Y.Shih, Digital Watermarking and Stegonagraphy Fundamentals and Techniques
  • Stefon Katzeubeisser, F.A.Petitolos, Information Hiding Techniques for Stegonagraphy and digital watermarking

• NP Completeness and Approximation Algorithms

  • J. Kleinberg and E.Tardos, Algorithm Design
  • T.H. Cormen, C.E. Leiserson, R.L. Rivest and C. Stein, Introduction to Algorithms
  • Vijay V. Vazirani, Approximation Algorithms
  • David P. Williamson and David B. Shmoys, The Design of Approximation Algorithms

• Data Science

  • W. McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy and iPython
  • P. Tan, M. Steinbach, A Karpatne, and V. Kumar, Introduction to Data Mining
  • G James, D Witten, T Hastie and R Tibshirani, An Introduction to Statistical Learning with Applications in R
  • G. Grolemund, H. Wickham, R for Data Science

• E-Commerce

  • Efraim Turban, Jae Kyu Lee, Dave Klng, Judy McKay, Peter Marshall, Electronic Commerce: A Managerial Perspective
  • Stuart Jacobs, Engineering Information Security
  • Michael Wooldridge, An Introduction to MultiAgent Systems