Coursera

Logic for Economists (Coursera)

Offered by University of Amsterdam,
Logic for Economists (Coursera)

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

Calculus: Single Variable Part 3 - Integration (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 3 - Integration (Coursera)

Sci: Mathematics

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Aug 31st 2026
4 Weeks
Math Calculus Differential Equations
Details
Constructivism and Mathematics, Science, and Technology Education (Coursera) Coursera
University of Illinois at Urbana-Champaign

Constructivism and Mathematics, Science, and Technology Education (Coursera)

Education

This course is designed to help participants examine the implications of constructivism for learning and teaching in science, mathematics, and technology focused areas. Course readings, discussions, and assignments will examine constructivist views of learning, research on students' ideas and idea-based interactions, research on instructional approaches taking student ideas into account, and challenges in implementing constructivist perspectives in instruction.

Sep 14th 2026
5-12 Weeks
Science Education Technology
Details
Calculus: Single Variable Part 4 - Applications (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 4 - Applications (Coursera)

Sci: Mathematics

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Aug 31st 2026
5-12 Weeks
Math Calculus Probability
Details
The Finite Element Method for Problems in Physics (Coursera) 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
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.

Sep 7th 2026
5-12 Weeks
Math Image Video
Details
Mathematical Foundations for Cryptography (Coursera) Coursera
University of Colorado System

Mathematical Foundations for Cryptography (Coursera)

Security & Networking

Welcome to Course 2 of Introduction to Applied Cryptography. In this course, you will be introduced to basic mathematical principles and functions that form the foundation for cryptographic and cryptanalysis methods. These principles and functions will be helpful in understanding symmetric and asymmetric cryptographic methods examined in Course 3 and Course 4. These topics should prove especially useful to you if you are new to cybersecurity. It is recommended that you have a basic knowledge of computer science and basic math skills such as algebra and probability.

Aug 31st 2026
4 Weeks
Math Cryptography Security
Details
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

Sci: Mathematics

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Sep 14th 2026
4 Weeks
Math Statistics Probability
Details
Discrete Mathematics (Coursera) Coursera
Shanghai Jiao Tong University

Discrete Mathematics (Coursera)

Sci: Mathematics

Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself. Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. Perhaps more importantly, they will reach a certain level of mathematical maturity - being able to understand formal statements and their proofs; coming up with rigorous proofs themselves; and coming up with interesting results.

Aug 31st 2026
5-12 Weeks
Math Combinatorics Discrete Mathematics
Details
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Statistics & Data Analysis Data Science

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Aug 31st 2026
4 Weeks
Algebra Linear Algebra Data Science
Details
Analytic Combinatorics (Coursera) Coursera
Princeton University

Analytic Combinatorics (Coursera)

CS: Theory Sci: Mathematics

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations. All the features of this course are available for free. It does not offer a certificate upon completion.

Sep 7th 2026
5-12 Weeks
Math Calculus Analytic Combinatorics
Details