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Introduction to General Computer Science
This Book contents provides a thorough exploration of computer science, algorithms, discrete mathematics, number systems, Boolean algebra, computer architecture, system software, and software correctness. Covering topics from maze generation algorithms to software verification, the document serves as a comprehensive guide to fundamental concepts in the field.
Author(s): Jorgen Schonwalder
255 Pages 
Introduction to General Computer Science
This Book contents provides a thorough exploration of computer science, algorithms, discrete mathematics, number systems, Boolean algebra, computer architecture, system software, and software correctness. Covering topics from maze generation algorithms to software verification, the document serves as a comprehensive guide to fundamental concepts in the field.
Author(s): Jorgen Schonwalder
255 Pages
Lecture Notes On High Performance Computing
This lecture note explains the following topics: Cluster Computing, Scalable Parallel Computer Architectures, Components for Clusters, Cluster Middleware and Single System Image, Evolution of Metacomputing, Load Sharing and Balancing, Grid Computing, Cloud Computing, Virtual Machine and its Provisioning, Time and Space-shared Provisioning.
Author(s): VSS University of Technology
69 Pages
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.
Author(s): Lawrence C Paulson
155 Pages
Foundations of Computer Science
Foundations of Computer Science covers subjects that are often found split between a discrete mathematics course and a sophomore-level sequence in computer science in data structure. So here the author's intention is to select the mathematical foundations with an eye toward what the computer user really needs, rather than what a mathematician might choose.
Author(s): Jeff Ullman
NA Pages
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
Grids and GridTechnologies for Wide Area Distributed Computing
This paper aims to present the state-of-the-art of Grid computing and attempts to survey the major international efforts in developing this emerging technology.
Author(s): Mark Baker, Rajkumar Buyya and Domenico Laforenza
30 Pages
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Introduction toComputer Science
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Logicfor Computer Science Foundations of Automatic Theorem Proving (Jean Gallier
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How to ThinkLike a Computer Scientist
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