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  2. Logic in computer science covers the overlap between the field of logic and that of computer science. The topic can essentially be divided into three main areas: Theoretical foundations and analysis. Use of computer technology to aid logicians. Use of concepts from logic for computer applications.

  3. This chapter is an overview of the course. We start with a look at the essential elements of logic - logical sentences, logical entailment, and logical proofs. We then see some of the problems with the use of natural language and see how those problems can be mitigated through the use of Symbolic Logic.

  4. The role of logic in computer science has been compared to that of calculus in physics and engineering. This course focusses on the foundations of logic rather than its computer-science applications.

  5. In this course, you'll explore proposition logic and discover its practical applications in problem-solving, algorithm design, and the development of intelligent systems. By engaging in hands-on exercises, exploring real-world examples, and participating in discussions, you'll develop strong logical reasoning and critical thinking skills.

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  6. In a sense, though, the real applications of logic include much of computer science and of mathematics itself. Among the fundamental elements of thought, and therefore of logic, are propositions. A proposition is a statement that has a truth value: it is either true or false.

  7. Feb 28, 2018 · Computational logic is the use of computers to establish facts in a logical formalism. Originating in nineteenth century attempts to understand the nature of mathematical reasoning, the subject now comprises a wide variety of formalisms, techniques and technologies.

  8. Mar 25, 2018 · Logic in Computer Science (Huth & Ryan): very clear and oriented to computer scientists (verification of programs and systems, Hoare logic, practical use of modal logic, temporal logics, model checking).

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