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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 
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
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
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.
Author(s): S. Arun-Kumar
710 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
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
NA Pages
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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Patternsfor Adaptive Programming (AP)
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