Foundations of Computer Science by Lawrence C Paulson
Foundations of Computer Science by Lawrence C Paulson
Foundations of Computer Science by Lawrence C Paulson
This
note has two objectives. First is to teach programming. Second is to present
some fundamental principles of computer science, especially algorithm design.
Major topics covered includes: Recursive Functions, O Notation: Estimating
Costs in the Limit, Lists, Sorting, Datatypes and Trees, Dictionaries and
Functional Arrays, Queues and Search Strategies, Functions as Values, List
Functionals, Polynomial Arithmetic, Sequences, or Lazy Lists, Elements of
Procedural Programming, and Linked Data Structures.
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.
This lecture note provides a thorough introduction to the principles
of propositional logic, an essential component of computer science. It begins
with informal propositional logic and then delves into formal syntax, covering
functions defined recursively and their semantics. The notes explore logical
connectives and their roles in constructing and evaluating logical statements.
Key topics include natural deduction, normal forms, and resolution methods,
which are crucial for reasoning about logical propositions and solving logical
problems. This resource is ideal for students seeking a solid foundation in
propositional logic and its 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.
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.