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.
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.
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.
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.