Coursera

Logic for Economists (Coursera)

Offered by University of Amsterdam,

This course provides a very brief introduction to basic mathematical concepts like propositional and predicate logic, set theory, the number system, and proof techniques.

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

At the end of the course, students will be able to:
(1) detect the logical structure behind simple puzzles
(2) be able to manipulate logical expressions
(3) explain the connection between logic and set theory
(4) explain the differences between natural, integer, rational, real and complex numbers
(5) recognise different basic proof techniques

Syllabus

WEEK 1
Introduction
Overview and motivation of the topics to be treated in the course
Propositional logic
Logical propositions and the rules that govern them.
Predicate logic, set theory, and functions
Logical statements that depend on a variable.

WEEK 2
Numbers
Proofs
Final test

Go to Class

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

Related Courses

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.

Sep 24th 2026

4 Weeks

Math Algebra Probability

Coursera

École Polytechnique

Aléatoire : une introduction aux probabilités - Partie 1 (Coursera)

Sci: Mathematics

Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard. Le cours introduit graduellement la notion de variable aléatoire et culmine avec la loi des grands nombres et le théorème de la limite centrale. Les notions mathématiques nécessaires sont introduites au fil du cours et de nombreux exercices corrigés sont proposés.

Sep 7th 2026

5-12 Weeks

Math Probability Mathematics

Coursera

Tecnológico de Monterrey

Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo (Coursera)

Sci: Mathematics

Los cursos de Cálculo Diferencial y Cálculo Integral tradicionalmente se ofrecen separados y respetando ese orden. El primero estudia la derivada, y el segundo, la integral, siendo este momento en el que aparece el Teorema Fundamental del Cálculo (TFC) para establecer la relación entre ambos conceptos. En el presente curso vamos a hacer una diferencia: introduciremos la derivada y la integral como conceptos relacionados desde un principio.

Sep 21st 2026

5-12 Weeks

Math Calculus Mathematics

Coursera

Universidad Nacional Autónoma de México

Álgebra Básica (Coursera)

Sci: Mathematics

Galileo dijo: "El Universo está escrito en lenguaje matemático y los caracteres son triángulos, círculos y otras figuras geométricas, sin las que es humanamente imposible entender una sola palabra". Para entender el Universo, es necesario plantear leyes que expliquen su comportamiento, como pueden ser las leyes de la gravedad, la propagación del calor, el electromagnetismo, la reproducción celular, el crecimiento poblacional, la propagación de las enfermedades, la variación de los precios de las acciones en la bolsa de valores, el comportamiento de las masas ante un conflicto, etcétera.

Sep 21st 2026

5-12 Weeks

Math Algebra Mathematics

Coursera

Johns Hopkins University

Precalculus: Mathematical Modeling (Coursera)

Sci: Mathematics

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.

Sep 7th 2026

4 Weeks

Calculus Computer Science Modeling

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.

Sep 14th 2026

5-12 Weeks

Math Machine Learning Matrix

Coursera

The Hong Kong University of Science and Technology - HKUST

Vector Calculus for Engineers (Coursera)

Sci: Mathematics

Vector Calculus for Engineers covers both basic theory and applications. In the first week we learn about scalar and vector fields, in the second week about differentiating fields, in the third week about multidimensional integration and curvilinear coordinate systems. The fourth week covers line and surface integrals, and the fifth week covers the fundamental theorems of vector calculus, including the gradient theorem, the divergence theorem and Stokes’ theorem. These theorems are needed in core engineering subjects such as Electromagnetism and Fluid Mechanics.

Sep 7th 2026

5-12 Weeks

Math Calculus Mathematics

Coursera

Tecnológico de Monterrey

Conceptos y Herramientas para la Física Universitaria (Coursera)

Engineering Sci: Physical & Earth Sciences

Este curso provee al estudiante con conceptos y herramientas matemáticas para modelar problemas en física, que al aplicar podrá enfrentar con éxito los cursos de física universitarios. Así pues, la filosofía de este curso consiste en cubrir temas conceptuales relativos a la Física y desarrollar tu capacidad de aprender y aplicarlos en tu vida profesional.

Sep 14th 2026

5-12 Weeks

Math Physics

Coursera

University of Houston System

Math behind Moneyball (Coursera)

Statistics & Data Analysis Data Science

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

Sep 14th 2026

5-12 Weeks

Math Business Statistics

Coursera

University of Michigan

The Finite Element Method for Problems in Physics (Coursera)

Engineering Sci: Mathematics

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.

Sep 7th 2026

13-24 Weeks

Math Physics Linear Algebra

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.

Sep 7th 2026

5-12 Weeks

Math Image Video

Coursera

Imperial College London

Mathematics for Machine Learning: Linear Algebra (Coursera)

Statistics & Data Analysis Data Science

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.

Sep 7th 2026

5-12 Weeks

Math Machine Learning Linear Algebra