Overview of 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.
Author(s): Phillip Barty Crouch Junior
238 Pages 
Introduction to Theoretical Computer Science
This note covers Mathematical background, Computation and representation, Finite computation, Uniform computation, Efficient algorithms, Randomized computation and advanced topics.
Author(s): Boaz Barak
656 Pages
General computer science Lecture notes
This pdf provides a comprhensive overview about general computer science, provides examples and various related topics. The core of the course delves into the representation and computation with a focus on discrete mathematics. The subsequent section on programming delves into Standard ML, recursion and imperative features and encoding of programs as strings. The course progresses to Boolean algebra and Propositional logic and machineoriented calculi like analytical tableaux and resolution.
Author(s): Michael Kohlhase
179 Pages
This note provides an introduction to computer skills that gives all students the abilities and activities to know Computer components, computer functions and benefits, computer viruses and measure of protection, Introduction to operating systems, PCs operating systems DOS and Windows, Application software including word processing, spreadsheets and presentation applications, Internet and email.
Author(s): Qais. A. Marji
NA Pages
Lecture Notes On High Performance Computing
The following Lecture Notes on High Performance Computing from VSS University of Technology deal indepth 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 resourcesharing 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 Spaceshared provisioning in order to provide insight into some efficient resource management and virtualization issues in highperformance computing environments.
Author(s): VSS University of Technology
69 Pages
