Overview of Computer Science
This Book contains following topics: Algorithm, Data Representation, Logic, Machine Organization, Moore’s Law, Computer Security, Computer science, Numbers and counting, Algorithmic Complexity, Software Development, Python references and Examples Python problems.
Author(s): Phillip Barty Crouch Junior
238 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
Mathematics for Computer Science
This PDF covers the following topics related to Computer Science :Intro to Proofs, Well Ordering Principle, Logical Formulas, Mathematical Data Types, Induction, Recursive Data Types, Infinite Sets, Number Theory, Directed Graphs and Partial Orders, Communication Networks, Simple Graphs, Planar Graphs, Sums and Asymptotics, Cardinality Rules, Generating Functions, Events and Probability Spaces, Conditional Probability, Random Variables, Deviation From the Mean, Random Walks.
Author(s): Eric Lehman, F. Thomson Leighton, Alberty R. Meyer
427 Pages
Computer Science by Dr. Chris Bourke
The PDF covers the following topics related to Computer Science : Introduction, Basics, Conditionals, Loops, Functions, Error Handling, Arrays, Collections and Dynamic Memory, Strings, File Input/Output, Encapsulation and Objects, Recursion, Searching and Sorting, Graphical User Interfaces and Event Driven Programming, Introduction to Databases and Database Connectivity, Basics, Conditionals, Loops, Functions, Error Handling, Arrays, Strings, File I/O, Structures, Recursion, Searching and Sorting, The Java Programming Language, Conditionals, Loops, Methods, Error Handling and Exceptions, Arrays, Strings , File Input, Objects, Searching and Sorting, etc.
Author(s): Dr. Chris Bourke, Department of Computer Science and Engineering, University of Nebraska
647 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
Mathematics for Computer Science
This text explains how to use mathematical models and methods to analyze problems that arise in computer science. Topics covered includes: Proofs , The Well Ordering Principle, Logical Formulas, Mathematical Data Types, Induction, Recursive Data Types, Infinite Sets, Structures, Number Theory, Directed graphs and Partial Orders, Communication Networks, Simple Graphs, Planar Graphs, Counting.
Author(s): Eric Lehman, F Thomson Leighton and Albert R Meyer
1006 Pages
InformationRetrieval (C.J. van Rijsgergen
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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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Templates forthe Solution of Linear Systems Building Blocks for the Iterative Methods
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DesigningComputers and Digital Systems
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