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 
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
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 machine-oriented calculi like analytical tableaux and resolution.
Author(s): Michael Kohlhase
179 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
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
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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Templates forthe Solution of Linear Systems Building Blocks for the Iterative Methods
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DesigningComputers and Digital Systems
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Patternsfor Adaptive Programming (AP)
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