Coursera

Introduction to Logic (Coursera)

Offered by Stanford University,
Introduction to Logic (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Syllabus

WEEK 1: Introduction
WEEK 2: Propositional Logic
WEEK 3: Relational Logic
WEEK 4: Functional Logic
WEEK 5: Conclusion

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data and Health Indicators in Public Health Practice (Coursera) Coursera
Johns Hopkins University

Data and Health Indicators in Public Health Practice (Coursera)

Health & Society Medicine & Pharmacology

Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions.

Nov 2nd 2026
4 Weeks
Health Data Disease
Details
Image and video processing: From Mars to Hollywood with a stop at the hospital (Coursera) Coursera
Duke University

Image and video processing: From Mars to Hollywood with a stop at the hospital (Coursera)

Engineering Sci: Mathematics

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.

Nov 2nd 2026
5-12 Weeks
Math Image Video
Details
Programming Fundamentals (Coursera) Coursera
Duke University

Programming Fundamentals (Coursera)

CS: Theory CS: Programming

Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class.

Nov 2nd 2026
4 Weeks
Programming Algorithms C Language
Details
Basic Modeling for Discrete Optimization (Coursera) Coursera
University of Melbourne,The Chinese University of Hong Kong

Basic Modeling for Discrete Optimization (Coursera)

CS: Software Engineering

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars.

Nov 9th 2026
4 Weeks
Programming Software Discrete Optimization
Details
Introduction to Mathematical Thinking (Coursera) Coursera
Stanford University

Introduction to Mathematical Thinking (Coursera)

Sci: Mathematics

Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself.

Nov 2nd 2026
5-12 Weeks
Math Analysis Language
Details
Data Science Math Skills (Coursera) Coursera
Duke University

Data Science Math Skills (Coursera)

Sci: Mathematics Data Science

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.

Nov 2nd 2026
4 Weeks
Math Algebra Probability
Details
Problem Solving Using Computational Thinking (Coursera) Coursera
University of Michigan

Problem Solving Using Computational Thinking (Coursera)

CS: Theory Computer Science

Have you ever heard that computers "think"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, "telling the computer what to do and how to do it." Before you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.

Nov 9th 2026
5-12 Weeks
Programming Algorithms Computational Thinking
Details
Matrix Methods (Coursera) Coursera
University of Minnesota

Matrix Methods (Coursera)

Sci: Mathematics

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction.

Nov 9th 2026
5-12 Weeks
Math Machine Learning Matrix
Details
Introduction to Engineering Design (Coursera) Coursera
Starweaver

Introduction to Engineering Design (Coursera)

Engineering

In today's fast-paced technological environment, understanding the fundamentals of engineering design is crucial for aspiring engineers and professionals alike. This comprehensive course serves as a primer, introducing participants to key concepts and methodologies essential for designing innovative solutions to complex problems. It provides an overview of the engineering design process, emphasizing the integration of creativity and functionality in problem-solving.

Nov 9th 2026
4 Weeks
Creativity CAD Design Process
Details