Welcome to E-Books Directory
This page lists freely downloadable books.
E-Books for free online viewing and/or download
Algorithms & Data Structures (43)
Artificial Intelligence (26)
Concurrent, Parallel & Distributed Systems (21)
Databases & Information Retrieval (28)
Information & Coding Theory (26)
Information Science (20)
Modeling & Simulation (17)
Programming Language Theory (33)
Security & Cryptography (28)
Software Engineering (25)
Theory of Computation (12)
e-books in this category
Foundations of Computation
by Carol Critchlow, David Eck - Hobart and William Smith Colleges , 2011
The book covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers automata, formal languages, and grammar that would ordinarily be encountered in an upper level course.
Building Blocks for Theoretical Computer Science
by Margaret M. Fleck - University of Illinois, Urbana-Champaign , 2013
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
Introduction to Soft Computing
by Eva Volna - Bookboon , 2013
This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making.
Computer Science from the Bottom Up
by Ian Wienand - bottomupcs.com , 2013
Computer Science from the Bottom Up: a free, online book designed to teach computer science from the bottom end up. Topics covered include binary and binary logic, operating systems internals, toolchain fundamentals and system library fundamentals.
Modern Information Systems
by Christos Kalloniatis - InTech , 2012
This book may assist researchers on studying the innovative functions of modern information systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies.
Advances in Knowledge Representation
by Carlos Ramírez Gutiérrez - InTech , 2012
A compilation of research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, and detailed descriptions of applications to various domains.
A New Kind of Science
by Stephen Wolfram - Wolfram Media , 2002
Starting from a collection of simple computer experiments -- illustrated in the book by striking computer graphics -- Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
Mathematical Foundations of Computer Science
by Susan Rodger - Duke University , 1998
These lecture notes present an introduction to theoretical computer science including studies of abstract machines, the language hierarchy from regular languages to recursively enumerable languages, noncomputability and complexity theory.
Handbook of Knowledge Representation
by Frank van Harmelen, Vladimir Lifschitz, Bruce Porter - Elsevier Science , 2008
Knowledge Representation is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation.
Foundations of Computer Science
by Hans-Peter Bischof , 1998
This text is an introduction to the formal study of computation. The course will provide students with a broad perspective of computer science and will acquaint them with various formal systems on which modern computer science is based.
Essentials of Theoretical Computer Science
by F. D. Lewis - University of Kentucky , 2001
This text is a broad introduction to the field, presented from a computer science viewpoint for computer scientists. This was designed to be used in a one-semester course for senior computer science majors or first year masters students.
Computational Science Education Project
- CSEP , 1996
An electronic book for teaching Computational Science and Engineering. The intended audience are students in science and engineering at the advanced undergraduate level and higher. Tutorials for networking and visualization software are included.
Computer Science Logo Style
by Brian Harvey - The MIT Press , 1997
This series is for people who are interested in computer programming because it's fun. The three volumes use the Logo as the vehicle for an exploration of computer science from the perspective of symbolic computation and artificial intelligence.
A Computer Science Tapestry: Exploring Computer Science with C++
by Owen L. Astrachan - McGraw - Hill , 1999
This book is designed for a first course in computer science that uses C++ as the programming language. The goal was to leverage the best features of the language using sound practices of programming and pedagogy in the study of computer science.
Foundations of Computer Science: C Edition
by Al Aho, Jeff Ullman - W. H. Freeman , 1994
Aho and Ullman have created a C version of their groundbreaking text. This book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations, with all examples and exercises in C.
Introduction to High-Performance Scientific Computing
by Victor Eijkhout - University of Texas , 2010
A computational scientist needs knowledge of several aspects of numerical analysis and discrete mathematics. This text covers: computer architecture, parallel computers, machine arithmetic, numerical linear algebra, applications.
The Fourth Paradigm: Data-Intensive Scientific Discovery
by Tony Hey, Stewart Tansley, Kristin Tolle - Microsoft Research , 2009
The Fourth Paradigm, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.
Computer Science: Abstraction to Implementation
by Robert M. Keller - Harvey Mudd College , 2001
This book is intended for a second course in computer science, one emphasizing principles wherever it seems possible. It is not limited to programming, it attempts to use various programming models to explicate principles of computational systems.
GRE Computer Science Test Practice Book
- Educational Testing Service , 2004
This book contains one actual, full-length GRE Computer Science Test and test-taking strategies. The test consists of about 70 multiple-choice questions, some of which are grouped in sets and based on diagrams, graphs, and program fragments.
A Balanced Introduction to Computer Science
by David Reed - Prentice Hall , 2004
The book covers concepts in computing that are most relevant to the beginning student, including computer terminology, the Internet and World Wide Web, the history of computing, the organization and manufacture of computer technology, etc.
Foundations of Computer Science
by Lawrence C Paulson - University of Cambridge , 2000
This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style.
Concepts, Techniques, and Models of Computer Programming
by Peter Van Roy, Seif Haridi - The MIT Press , 2004
Covered topics: concurrency, state, distributed programming, constraint programming, formal semantics, declarative concurrency, message-passing concurrency, forms of data abstraction, building GUIs, transparency approach to distributed programming.
Introduction to Computer Science using Java
by Bradley Kjell - Central Connecticut State University , 2006
The text for a first course in computer science using the programming language Java. It covers the fundamentals of programming and of computer science. It is assumed that you have the Java version 5.0 or later and a text editor such as Notepad.
How to think like a Computer Scientist (C++ Version)
by Allen B. Downey , 1999
This book teaches you to think like a computer scientist - to combine the best features of mathematics, natural science, and engineering, to use formal languages to denote ideas, to observe the behavior of complex systems, form hypotheses, etc.
Common LISP: A Gentle Introduction to Symbolic Computation
by David S. Touretzky - Benjamin-Cummings Pub Co , 1990
This is a gentle introduction to Common Lisp for students taking their first programming course. No prior mathematical background beyond arithmetic is assumed. There are lots of examples, the author avoided technical jargon.
Concrete Abstractions: An Introduction to Computer Science Using Scheme
by Max Hailperin, Barbara Kaiser, Karl Knight - Course Technology , 1998
The book Concrete Abstractions covers the programming and data structures basics. It will give first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.
Rough set data analysis: A road to non-invasive knowledge discovery
by Ivo Düntsch, Günther Gediga - Methodos Publishers (UK) , 2000
In this book the authors present an overview of the work they have done on the foundations and details of data analysis, the first attempt to do this in a non-invasive way. It is a look at data analysis from many different angles.