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
238Pages
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
255Pages
This lecture note covers introduction, Informal Propositional Logic, The Formal Syntax of Propositional Logic,Functions Defined Recursively on PL, Semantics of Propositional Logic, Logical Connectives, Natural Deduction, Normal Forms and Resolution in Propositional Logic.
Author(s): Alexandru Ioan Cuza University
84Pages
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
179Pages
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
243Pages
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
427Pages
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
647Pages
The PDF covers the following topics related to Computer Science : Introduction to Logics, Propositional Calculus, Predicate Calculus, Applications of Predicate Calculus, Automated Deduction in Propositional Calculus, Automated Deduction in Predicate Calculus, Second-Order Logic, Second-Order Quantifier Elimination, Modal Logics, Temporal Logic, Logics of Programs, Fixpoint Calculus, Rough Concepts.
Author(s): Andrzej Szalas
125Pages
This note covers the following topics: Components of a Computer System, Input Devices and Output Devices, PrimaryStorage and Secondary Storage Devices, Number Systems, Boolean algebra and Logic Circuits, Computer Software, Programming Languages and Program Development, Popular Operating System.
Author(s): Tilak Maharashtra Vidyapeeth
109Pages
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
NAPages
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
69Pages
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.
Author(s): S. Arun-Kumar
710Pages
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
109Pages
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
155Pages
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
1006Pages
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
NAPages
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
NAPages
This paper aims to present the state-of-the-art of Grid computing and attempts to survey the major international efforts in developing this emerging technology.
Author(s): Mark Baker, Rajkumar Buyya and Domenico Laforenza
30Pages
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