Computer Science II
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).
Author(s): Pete Nordquist
NA 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 PDF covers the following topics related to Computer Science, Data the raw materialRepresenting information, Putting Computers to WorkAlgorithms, Telling Computers What To DoRepresenting Procedures, Really hard problemsIntractability, Sharing secrets and fighting crimeCryptography, The human face of computingInteracting with computers.
Author(s): Tim Bell, Ian H. Witten, Mike Fellows
243 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
