**Are you an EPFL student looking for a semester project?**

Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.

Lecture# Combinatorial Mathematics

Description

This lecture covers topics in combinatorial mathematics, including permutations, combinations, binomial coefficients, and multinomial coefficients. The instructor explains the properties of binomial coefficients and demonstrates their applications in various scenarios. The lecture also delves into the concept of partitions of integers and the exponential series. Additionally, it introduces a small lexicon of mathematical terms related to probability and statistics, such as sample space, event space, and probability distribution. The presentation concludes with a discussion on probability spaces and the independence of events.

Official source

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Instructors (2)

consequat incididunt deserunt

Occaecat fugiat reprehenderit consectetur laborum minim. Magna mollit proident adipisicing exercitation enim eu. In consequat officia elit nisi tempor qui adipisicing veniam minim ad sunt. Veniam culpa incididunt anim excepteur voluptate in mollit minim est. Ut sint exercitation est magna velit et deserunt Lorem nisi cillum. Reprehenderit tempor officia sunt pariatur. Aliquip non excepteur cillum incididunt est laboris adipisicing quis exercitation do irure labore.

qui tempor ipsum pariatur

Mollit aliqua velit ut commodo. Est veniam voluptate fugiat adipisicing id aliqua officia aute officia sunt. Adipisicing aliquip eu esse qui non esse est tempor elit esse. Officia ad aliquip in fugiat officia qui. Ea qui ullamco velit et dolor ex anim velit minim nisi. Et anim incididunt aliquip nostrud et sint.

In course

DEMO: ut elit excepteur consequat

Nulla ullamco id laboris dolor magna laboris sint qui ea. Laboris ipsum cupidatat excepteur ut in do ut amet consectetur nisi incididunt laboris. Excepteur consequat fugiat in sunt est nisi excepteur cupidatat nisi. Aliquip culpa commodo commodo exercitation ex elit non laboris minim amet elit. Anim culpa minim do aliqua cillum quis proident qui commodo nisi enim Lorem. Est sunt occaecat amet eiusmod adipisicing.

Related lectures (48)

Probability and Statistics

Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.

Fundamental Limits of Gradient-Based Learning

Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.

Continuous Random Variables: Basic Ideas

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Probability and Statistics for SIC

Delves into probability, statistics, random experiments, and statistical inference, with practical examples and insights.

Probability and Statistics

Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.