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Summary Logic for Computer Science Lecture Notes | Study Resource | Updated 2025–2026

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These Logic for Computer Science Lecture Notes provide a comprehensive study resource covering foundational and advanced topics in formal logic as applied to computer science. The notes include detailed explanations of propositional and predicate logic, logical equivalences, inference rules, formal proofs, methods of reasoning, and applications to algorithms, programming, and computational theory. They also cover essential topics such as Boolean algebra, set theory, relations, functions, induction, and proof strategies, supporting students in understanding both theoretical and practical aspects of logic in computer science. The lecture notes are suitable for undergraduate and graduate students, instructors, and self-directed learners seeking structured guidance, worked examples, and exercises to reinforce comprehension. These notes are particularly helpful for exam preparation, coursework, and developing strong analytical and problem-solving skills. This Updated / Latest 2025–2026 version ensures relevance to current computer science curricula and provides a reliable, academically sound reference for mastering logic concepts and applications in computing.

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Logic for Computer Science. Lecture Notes

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Contents

I Introduction to Logics 7

1 Introduction 9
1.1 Introduction to the Course . . . . . . . . . . . . . . . . . . . . . 9
1.2 Introduction to Logics . . . . . . . . . . . . . . . . . . . . . . . . 10
1.3 Introduction to Proof Systems . . . . . . . . . . . . . . . . . . . . 11
1.4 BNF Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

2 Propositional Calculus 17
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
2.2 Syntax of Propositional Calculus . . . . . . . . . . . . . . . . . . 17
2.3 Semantics of Propositional Calculus . . . . . . . . . . . . . . . . 18
2.4 The Complexity of Propositional Calculus . . . . . . . . . . . . . 19
2.5 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

3 Predicate Calculus 21
3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.2 Syntax of Predicate Calculus . . . . . . . . . . . . . . . . . . . . 21
3.3 Semantics of Predicate Calculus . . . . . . . . . . . . . . . . . . . 23
3.4 The Complexity of Predicate Calculus . . . . . . . . . . . . . . . 25
3.5 Unification of terms . . . . . . . . . . . . . . . . . . . . . . . . . 26
3.6 Skolemization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
3.7 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

4 Applications of Predicate Calculus 29
4.1 Specifying Data Structures . . . . . . . . . . . . . . . . . . . . . 29

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, 4 CONTENTS
4.2 Predicate Calculus as a Programming Language .................................31
4.3 Predicate Calculus as a Query Language .............................................32
4.4 Exercises ................................................................................................ 33



II Automated Deduction in Classical Logic 35

5 Automated Deduction in Propositional Calculus 37
5.1 Introduction ........................................................................................... 37
5.2 Resolution Method................................................................................. 37
5.3 Sequent Calculus .................................................................................... 39
5.4 Analytic Tableaux.................................................................................. 41
5.5 Exercises ................................................................................................ 44

6 Automated Deduction in Predicate Calculus 45
6.1 Introduction ........................................................................................... 45
6.2 Resolution Method................................................................................. 45
6.3 Sequent Calculus .................................................................................... 47
6.4 Analytic Tableaux.................................................................................. 48
6.5 Exercises ................................................................................................ 49



III Second-Order Logic and its Applications 51

7 Second-Order Logic 53
7.1 Introduction ........................................................................................... 53
7.2 Syntax of Second-Order Logic ............................................................... 53
7.3 Semantics of Second-Order Logic.......................................................... 54
7.4 The Complexity of Second-Order Logic................................................ 54
7.5 Second-Order Logic in Commonsense Reasoning................................. 55
7.6 Exercises ................................................................................................ 57

8 Second-Order Quantifier Elimination 59
8.1 Introduction ........................................................................................... 59
8.2 SCAN Algorithm.................................................................................... 59

Connected book
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S. Barry Cooper Logic Colloquium 2006
Publisher: 2009 ISBN: 9780521110815 Edition: Unknown

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