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
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
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
Introduction to Computer Science by Ryan Stansifer
This lecture note explains the following topics: What is CS, Java review: Data, control constructs, static methods, Classes: Incorporation, instantiation, inheritance, Generics, Code reuse, Program analysis, Data structures, Lists, stacks, queue.
Author(s): Ryan Stansifer
109 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
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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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Patternsfor Adaptive Programming (AP)
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