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
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
125 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
Introduction toComputer Science
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CommunicatingSequential Processes (CSP)
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How to ThinkLike a Computer Scientist
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Foundations ofComputer Science
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Templates forthe Solution of Linear Systems Building Blocks for the Iterative Methods
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