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 
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
Logic for Computer Science Lecture Notes
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
84 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
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
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
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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DesigningComputers and Digital Systems
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Patternsfor Adaptive Programming (AP)
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