Discrete Mathematics (Coursera)

Discrete Mathematics (Coursera)

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.

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

This course attempts to be rigorous without being overly formal. This means, for every concept we introduce we will show at least one interesting and non-trivial result and give a full proof. However, we will do so without too much formal notation, employing examples and figures whenever possible.
The main topics of this course are :
(1) sets, functions, relations,
(2) enumerative combinatorics,
(3) graph theory,
(4) network flow and matchings.
It does not cover modular arithmetic, algebra, and logic, since these topics have a slightly different flavor and because there are already several courses on Coursera specifically on these topics.

Syllabus

WEEK 1
Introduction - Basic Objects in Discrete Mathematics
This module gives the learner a first impression of what discrete mathematics is about, and in which ways its "flavor" differs from other fields of mathematics. It introduces basic objects like sets, relations, functions, which form the foundation of discrete mathematics.

WEEK 2
Partial Orders
Even without knowing, the learner has seen some orderings in the past. Numbers are ordered by

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

Related Courses

Single Variable Calculus (Coursera) Coursera
University of Pennsylvania

Single Variable Calculus (Coursera)

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. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

Aug 3rd 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

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.

Aug 17th 2026
4 Weeks
Algorithmic Thinking (Part 1) (Coursera) Coursera
Rice University

Algorithmic Thinking (Part 1) (Coursera)

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Aug 10th 2026
4 Weeks
Fundamentals of Engineering Exam Review (Coursera) Coursera
Georgia Institute of Technology

Fundamentals of Engineering Exam Review (Coursera)

The purpose of this course is to review the material covered in the Fundamentals of Engineering (FE) exam to enable the student to pass it. It will be presented in modules corresponding to the FE topics, particularly those in Civil and Mechanical Engineering. Each module will review main concepts, illustrate them with examples, and provide extensive practice problems.

Aug 10th 2026
5-12 Weeks
Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera) Coursera
University of California, San Diego

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera)

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.

Aug 17th 2026
5-12 Weeks
Geometría Analítica Preuniversitaria (Coursera) Coursera
Universidad Autónoma Metropolitana

Geometría Analítica Preuniversitaria (Coursera)

Líneas rectas, círculos, parábolas, elipses e hipérbolas son figuras geométricas que encontramos en nuestro derredor. Por ejemplo, mucha gente sabe que los planetas en nuestro sistema solar se mueven en órbitas elípticas teniendo al astro rey en un foco de esta figura. Sin embargo, pocos saben que la plaza de San Pedro en el Vaticano está construída sobre elipses donde sus focos se encuentran sobre las fuentes donde mucha gente se toma fotos. Estos son dos ejemplos que muestran la importancia de las figuras geométricas en nuestra vida.

Aug 10th 2026
5-12 Weeks
The Finite Element Method for Problems in Physics (Coursera) Coursera
University of Michigan

The Finite Element Method for Problems in Physics (Coursera)

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.

Aug 10th 2026
13-24 Weeks
Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera) Coursera
Delft University of Technology,Erasmus University Rotterdam

Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera)

Through this course learners will gain the tools to decide whether or not Excel is the right software to use. They will learn how to set up good input data, format correctly, and the importance of good documentation. Learners will gain the ability to discern between different functions, to understand the pitfalls and strengths of commonly used functions, and to apply correct functions to their excel models. Those that follow the course will also gain understanding of logical spreadsheet structure, graphs and reporting, and protection and hidden information in Excel, and users will learn how to apply these things to their own models.

Aug 17th 2026
4 Weeks
Graph Analytics for Big Data (Coursera) Coursera
University of California, San Diego

Graph Analytics for Big Data (Coursera)

Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.

Aug 3rd 2026
5-12 Weeks