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.
These lecture notes
provide broad coverage of general issues in computer science, with an emphasis
on discrete mathematics and programming. The topics taught in this course range
from representational issues and computation of information, Standard ML,
recursion, imperative programming, and encoding of programs as strings. These
notes uniquely combine Boolean algebra and propositional logic with the
description of machine-oriented calculi such as analytical tableaux and
resolution for a wholesome understanding of both the theoretical and practical
aspects of computer science.
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 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.
Overview "Computer Skills" by Qais A. Marji is a very important
resource in basic computer skills development. This online resource varies in
topic from basic computer components and their functions to more complex issues.
It includes detailed discussions of computer viruses and protection measures
that will help users understand how to protect their systems. The document
introduces operating systems-DOS and Windows-additionally some essential
application software: word processors, spreadsheet applications, and
presentation applications. It further extends to cover the use of the internet
and e-mail. This course is specially prepared for students and beginners with
the aim of equipping them with practical skills in everyday computing tasks that
would serve to increase their proficiency and build confidence in the use of
technology.
The
following Lecture Notes on High Performance Computing from VSS University of
Technology deal in-depth with new computing paradigms aimed at the efficient
execution of large computations. This PDF covers Cluster Computing, a form of
parallel processing wherein a group of computers that are symmetrically linked
work symptomatically as one system to enhance computation power. It looks at
Scalable Parallel Computer Architectures, which can grow as demand for
processing goes up. This discusses key components of clusters and the role of
Cluster Middleware in creating a Single System Image. The notes describe the
Evolution of Metacomputing, which covers development and integration aspects of
distributed computing resources. Other topics that are considered in this regard
include resource-sharing concepts like Load Sharing and Balancing. Furthermore,
Grid Computing and Cloud Computing, concepts based on distributed resources and
remote servers, will also be discussed. It also deals with the provisioning of
Virtual Machines and Time and Space-shared provisioning in order to provide
insight into some efficient resource management and virtualization issues in
high-performance computing environments.