Combinatorics: Strategies and Methods for Counting (FutureLearn)

Offered by University of Padova,
Combinatorics: Strategies and Methods for Counting (FutureLearn)

Explore the wonderful world of combinatorics with this course exploring simple and efficient ways to count. See combinatorics made simple and how to avoid errors in counting principles. Combinatorics is an area of mathematics primarily concerned with counting. Combinatorial problems arise in many areas of pure mathematics, notably in algebra, probability theory, topology, and geometry. On this free online combinatorics course, you’ll discover a simple and efficient method to translate a combinatorial problem into counting the elements of a reference mathematical structure.

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

You’ll learn basic counting principles, and be able to explain the most frequent errors in their misuse. Ultimately, you’ll discover that combinatorics isn’t as difficult as it seems.
What topics will you cover?

  • Convert counting problems into precise mathematical models
  • Count the basic combinatorial objects like sequences and collections
  • Applications on counting anagrams, derangements of a sequence (hats problem)
  • Count card shuffles and understand astonishing magic tricks
  • Basic probabilities (birthday problem)
  • Algebraic tools that allow to solve subtle combinatorial problems

What will you achieve?
By the end of the course, you‘ll be able to...

  • Apply the principles of combinatorics to solve the basic combinatorial problems
  • Model some real life counting problems into that of counting precsie mathematical structures
  • Identify the mathematical structure which lies besides a combinatorial problem: sequences, collections, sharings, compositions, partitions, derangements.
  • Identify the principle to face a combinatorial problem: bijiection, multiplication, division
  • Calculate the probability of an event when the sample space is composed by equiprobable elementary events
  • Calculate the number of possible outcomes of an aleatory experiment
  • Calculate the number of sequences of prescribed length, with or without repetitions, from a given alphabet
  • Calculate the number of collections of prescribed length, with or without repetitions, from a given alphabet
  • Calculate the number of sets of given cardinality
  • Calculate the number of partitions of a given set in a prescribed number of subsets
  • Calculate the number of permutations of a sequence without repetitions
  • Calculate the number of distributions of distinguishable/indistinguishable objects in a given number of numberded boxes (possibly empty)
  • Calculate the number of distributions of distinguishable/indistinguishable objects in a given number of numberded non-empty boxes

Who is the course for?
This course is ideal for anyone interested in mathematical problems, with a basic background in precalculus. It would be useful for anyone wanting to study or work in mathematics, or anyone who wants to develope their critical thinking and problem-solving skills.

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

Related Courses

Think Again III: How to Reason Inductively (Coursera) Coursera
Duke University

Think Again III: How to Reason Inductively (Coursera)

Want to solve a murder mystery? What caused your computer to fail? Who can you trust in your everyday life? In this course, you will learn how to analyze and assess five common forms of inductive arguments: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The course closes by showing how you can use probability to help make decisions of all sorts.

Jun 22nd 2026
4 Weeks
Understanding Maths and Logic in Computer Science (FutureLearn) FutureLearn
Raspberry Pi Foundation

Understanding Maths and Logic in Computer Science (FutureLearn)

Improve your understanding and ability to teach maths and logic in computing while building elements of an escape room. Become more familiar with maths and logic in computer science. The mathematical aspects of computer science can be difficult to understand and teach. On this course, you will be introduced to maths and logic in computing in an engaging way.

Nov 1st 2021
3 Weeks
World Class Maths: Asian Teaching Practice (FutureLearn) FutureLearn
Macmillan Education

World Class Maths: Asian Teaching Practice (FutureLearn)

Learn how to create lessons plans based on Asian maths teaching methods, and develop your maths teaching practice. Integrate world-class maths teaching methods into your own teaching practice. Get an introduction to Asian maths teaching methods for primary education, with this course from Macmillan Education and University of Southampton.

No sessions available
4 Weeks
Exploring and Producing Data for Business Decision Making (Coursera) Coursera
University of Illinois at Urbana-Champaign

Exploring and Producing Data for Business Decision Making (Coursera)

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.

Jun 22nd 2026
4 Weeks
A Crash Course in Causality: Inferring Causal Effects from Observational Data (Coursera) Coursera
University of Pennsylvania

A Crash Course in Causality: Inferring Causal Effects from Observational Data (Coursera)

We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment).

Jun 22nd 2026
5-12 Weeks
Mathematics for Computer Science: Essential Skills (FutureLearn) FutureLearn
University of Hull

Mathematics for Computer Science: Essential Skills (FutureLearn)

Strengthen key maths skills needed in computer science, including Venn diagrams, algebra techniques and set theory notation. Gain confidence in mathematics to kickstart your career in computer science. If you are approaching or considering degree-level study in computer science, you may wish to strengthen your understanding of key mathematical techniques.

Available now
3 Weeks
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference.

Jun 22nd 2026
4 Weeks
Linear Regression and Modeling (Coursera) Coursera
Duke University

Linear Regression and Modeling (Coursera)

This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.

Jun 22nd 2026
4 Weeks
Six Sigma Advanced Define and Measure Phases (Coursera) Coursera
University System of Georgia

Six Sigma Advanced Define and Measure Phases (Coursera)

This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the "Design" and "Measure" phases of the DMAIC structure of Six Sigma.

Jun 22nd 2026
5-12 Weeks
Flexagons and the Math Behind Twisted Paper (FutureLearn) FutureLearn
Weizmann Institute of Science

Flexagons and the Math Behind Twisted Paper (FutureLearn)

Learn how to make flexagons - beautiful and unique paper constructions - and explore the math behind them. Discover the unusual math of twisted strips of paper. Flexagons are twisted strips of folded paper, which reveal their properties when flexed. This online course will explain what flexagons are, their history and their naming conventions. You’ll find out how to create your own flexagons and be able to share them with our global community of learners.

Dec 14th 2020
3 Weeks