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.
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238 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
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Introduction to Computer Science
This note covers the following topics: Computing: The Functional Way, Computing Tool, Algorithms: Design and Refinement, Technical Completeness and Algorithms, Introducing Reals, Correctness, Termination and Complexity, Compound Data, Higher Order Functions and Structured Data, Imperative Programming.
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InformationRetrieval (C.J. van Rijsgergen
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The ZNotation a Reference Manual (by J. M. Spivey)
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CommunicatingSequential Processes (CSP)
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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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