Logic forms the backbone of computer science, providing the language and methods for precise reasoning, rigorous analysis, and formal proof. Logic and Reasoning for Computing equips learners with essential tools to represent statements, analyse arguments, and verify correctness. Across four modules—Propositional Logic, Predicate Logic, Boolean Algebra, and Proof Techniques—you will build a solid foundation in formal reasoning and connect abstract concepts directly to computing practice. You’ll explore truth tables, quantifiers, Boolean operations, and methods of proof, applying them to areas such as programming, digital circuits, and algorithm verification. By the end of this course, you’ll not only be able to reason critically and communicate arguments clearly, but also have the confidence to apply logical structures to both theoretical and practical problems in computer science.
Logic and Reasoning for Computing
您将学到什么
Represent and evaluate statements with formal logic, building accuracy and rigour in reasoning for computing challenges.
Apply Boolean algebra to simplify logical expressions and connect symbolic reasoning to digital systems and algorithms.
Construct and verify mathematical proofs using direct proof, contradiction, and induction to confirm correctness.
Strengthen problem-solving and critical thinking skills to analyse, structure, and solve complex computational tasks.
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要了解的详细信息
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February 2026
22 项作业
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该课程共有4个模块
This module you will learn about two key concepts: the definition of a proposition and an argument, and constructing the truth table of a proposition.
涵盖的内容
11个视频5篇阅读材料6个作业
This week you will learn about three key concepts: the definition of predicate logic; universal and existential quantifiers; and logical equivalence involving quantifiers.
涵盖的内容
6个视频1篇阅读材料7个作业
In tis module, you will learn about four key concepts: the definition of Boolean algebra; Boolean expressions and functions; the application of De Morgan's laws; and circuit simplification.
涵盖的内容
6个视频2篇阅读材料6个作业1个讨论话题1个非评分实验室
In ths module, we will cover the following key concepts: deductive proof, proof by contradiction, description of inductive steps.
涵盖的内容
10个视频2篇阅读材料3个作业1个讨论话题
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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