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Best resources to learnLogic in Computer Science

Study sheet

This topic covers the application of mathematical logic to computer science, including propositional and predicate calculus. Learners will understand how to use formal logic for software verification, database queries, artificial intelligence reasoning, and hardware design.

8 resources · · How we curate

📹Videos(1)

video

Combining Formal Methods and Machine Learning

Recorded 2019 Wheeler Lecture at the Cambridge Computer Laboratory in which Edinburgh's Jane Hillston explains how stochastic process algebras and machine learning complement each other, presenting two projects that embed learning techniques into formal quantitative modelling of dynamic systems.

advanced🇬🇧

🎓Courses(3)

course

Logic II (MIT 24.242)

Computability theory followed by a detailed study of Gödel's incompleteness theorems and their applications, including Church's undecidability theorem and Tarski's theorem on the undefinability of truth. Lecture notes and problem sets with solutions let learners work through these proofs themselves.

intermediate🇬🇧
course

Introduction to Logic

This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, business, law, and so forth.

beginner🇬🇧
course

Logic for Computer Science

A Coursera course from BITS Pilani on computational logic: propositional and predicate logic, natural deduction, soundness and completeness, undecidability, LTL and CTL model checking, and Floyd-Hoare program verification. Learners can write formal proofs and verify properties of algorithms and systems.

intermediate🇬🇧

📚Books(2)

bookPaid

Logic in Computer Science

University textbook on logic as a tool for specifying and verifying systems, covering propositional and predicate logic, temporal logics with model checking, program verification, and modal logic. Students learn to reason formally about software and hardware correctness.

intermediate🇬🇧
bookPaid

Mathematical Logic for Computer Science

Textbook on propositional and first-order logic for computer scientists, emphasising automated proof methods such as semantic tableaux, resolution, and logic programming, plus program verification and temporal logic. Readers learn to build and check formal proofs algorithmically.

intermediate🇬🇧

🌐Websites(2)

website

logicmatters.net

Logic Matters is a blog and resource site dedicated to mathematical logic. It provides expository notes, essays, and curated reading lists across topics such as model theory, proof theory, computability, and set theory, with materials for students and researchers.

intermediate🇬🇧
website

brilliant.org

Brilliant.org is an online, interactive learning platform offering problem-based courses in math and computer science, including topics in automata theory, computation, and discrete mathematics, with guided lessons and practice problems.

intermediate🇬🇧
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Frequently Asked Questions

What are the best free resources to learn Logic in Computer Science?

Dantes has curated 8 resources for Logic in Computer Science, including 1 videos, 2 books, 3 courses, 2 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Logic in Computer Science hard to learn?

Logic in Computer Science is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Logic in Computer Science learning resources are available on Dantes?

For Logic in Computer Science, Dantes has curated 1 videos, 2 books, 3 courses, 2 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Logic in Computer Science resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Logic in Computer Science, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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