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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 
This PDF covers the following topics related to Computer Science : Data the raw material—Representing information, Putting Computers to Work—Algorithms, Telling Computers What To Do—Representing Procedures, Really hard problems—Intractability, Sharing secrets and fighting crime-Cryptography, The human face of computing-Interacting with computers.
Author(s): Tim Bell, Ian H. Witten, Mike Fellows
243 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
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
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
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The ZNotation a Reference Manual (by J. M. Spivey)
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How to ThinkLike a Computer Scientist
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Foundations ofComputer Science
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Templates forthe Solution of Linear Systems Building Blocks for the Iterative Methods
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