This course note explains
computer programming concepts includes object-oriented programming
techniques: class methods, wrapper classes for primitive types, inheritance,
abstract classes, events and listeners, packaging your code as a stand-alone
program or an applet, interfaces, garbage collection, introduction to
exceptions; structured programming techniques: switch statements, nested loops,
arrays (seaching, sorting, multidimensional).
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.
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.
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.
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.