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Overview of Computer Science

Overview of Computer Science

Overview of Computer Science

Overview of Computer Science by Phillip Barty Crouch Junior is broad but detailed in most key areas of computer science. It deals with algorithms, the prerequisite for problem-solving and data processing. Data representation and logic form the backbone through which computers understand and execute instructions and are thus discussed. It does also touch on the topics of machine organization and Moore's Law, referring to the exponential growth that has occurred in computing power. It also covers topics in computer security and algorithmic complexity, and software development practices. Python references and examples, with practical problems will enable readers to understand and apply the content by matching theory with hands-on programming.

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s238 Pages
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Introduction to Theoretical Computer Science

Introduction to Theoretical Computer Science

This note covers Mathematical background, Computation and representation, Finite computation, Uniform computation, Efficient algorithms, Randomized computation and advanced topics.

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Logic for Computer Science Lecture Notes

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.

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General computer science Lecture notes

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 machineoriented calculi like analytical tableaux and resolution.

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Logic for Computer Science

Logic for Computer Science

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, SecondOrder Logic, SecondOrder Quantifier Elimination, Modal Logics, Temporal Logic, Logics of Programs, Fixpoint Calculus, Rough Concepts.

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