This is a comprehensive textbook, covering some fundamental mathematical
concepts underlying computer science. It starts with basic proofs, induction,
and recursion; it proceeds to infinite sets, number theory, and graph theory.
Further, it outlines the practical usage in the area of communication networks,
along with some aspects of probability theory involving random variables and
random walks. This merge of mathematical theory with computer science
applications provides an excellent framework upon which students can base their
study of algorithms, data structures, and other computational concepts.
Author(s): Eric Lehman, F. Thomson Leighton, Alberty R.
Meyer
Introduction
to Theoretical Computer Science by Boaz Barak provides an overview of some
basic notions. This voluminous note starts with serious foundational mathematics
needed to understand the intricacies of computation. Among several models of
computation and their representations, he deals with finite and uniform
computations. Key topics: It presents efficient algorithms which are essential
in solving practical problems and randomized computation, one of whose important
features is to bring probabilistic methods into the design of algorithms.
Advanced topics broaden the knowledge further towards recent research and
trends. This note is intended for students and professionals at large who wish
to have a rigorous introduction to theoretical aspects and their practical
applications in computer science.
Overview
of Computer Science by Phillip Barty Crouch Junior is broad but detailed in most
key areas of computer science. It deals with algorithms, the prerequisite for
problem-solving and data processing. Data representation and logic form the
backbone through which computers understand and execute instructions and are
thus discussed. It does also touch on the topics of machine organization and
Moore's Law, referring to the exponential growth that has occurred in computing
power. It also covers topics in computer security and algorithmic complexity,
and software development practices. Python references and examples, with
practical problems will enable readers to understand and apply the content by
matching theory with hands-on programming.
CS Unplugged is an
entertaining way to help learn about the basics of computer science, using
snacks, sorting games, and puzzles-none of which require a computer. The PDF
covers basic material like data representation, algorithms, and procedures
through to advanced and specialized topics such as intractability, cryptography,
and human-computer interaction. This is ideal for teachers and students alike
who seek knowledge about concepts in computer science using interactives with no
digital support; therefore, suitable for any environment where the learning
process takes place.
This is a comprehensive textbook, covering some fundamental mathematical
concepts underlying computer science. It starts with basic proofs, induction,
and recursion; it proceeds to infinite sets, number theory, and graph theory.
Further, it outlines the practical usage in the area of communication networks,
along with some aspects of probability theory involving random variables and
random walks. This merge of mathematical theory with computer science
applications provides an excellent framework upon which students can base their
study of algorithms, data structures, and other computational concepts.
Author(s): Eric Lehman, F. Thomson Leighton, Alberty R.
Meyer
The book "Logic for Computer
Science" by Andrzej Szalas provides an in-depth discussion of several logical
systems located at the heart of computer science. This in-depth PDF gives the
basics—introducing the reader to some logics—leading to a very solid foundation
on the Propositional Calculus and the Predicate Calculus. It goes on to show the
application of these logics to automated deduction as both Propositional and
Predicate Calculus. The text by this token goes further to illustrate advanced
topics, including Second-Order Logic, Second-Order Quantifier Elimination, and
Modal Logics. This text also goes on to consider Temporal Logic, Logics of
Programs, and Fixpoint Calculus and demonstrates how these notions are used both
theoretically and practically in the area of computing. With its breadth, this
resource is invaluable in understanding the theoretical underpinnings of
computer science and their practical applications in the areas of software
development and automated reasoning.
Introduction
to Computer Systems by Tilak Maharashtra Vidyapeeth presents the fundamental
concepts of the computer system. This above PDF describes some important aspects
of the computer system: input and output devices, primary and secondary storage
devices constituting it. The number system and Boolean algebra have also been
explained, which form the basis of logic circuits. It also deals with computer
software, programming languages, and program development. It also gives an
overview of some popular operating systems, hence enabling the readers to have a
broader view on both the hardware and software aspects of computing. This note
thus targets serving as an introductory guide for students and individuals that
are entering computer systems, hence helping them to develop a solid background
in both the theoretical and practical aspects of computing.