Lecture

Probability and Statistics

In course

Ut elit nulla id ea exercitation ipsum Lorem ut dolore. Dolore in velit commodo proident. Incididunt consequat incididunt qui commodo laboris mollit in voluptate non ex veniam.

Description

This lecture covers the fundamental concepts of probability and statistics, providing mathematical tools for the study of random events, network modeling, stochastic algorithms, and more. Topics include distributions, expectation, variance, statistical inference, likelihood, and combinatorics. The course also discusses the importance of understanding material rather than memorization during exams.

Instructors (2)

Non ea aliquip ad enim est mollit pariatur fugiat ea cillum ullamco eiusmod. Sunt quis labore in duis ex velit nisi ea sit pariatur. Elit esse ut occaecat ut labore excepteur ullamco laborum tempor culpa commodo veniam proident sit. Reprehenderit qui aliqua anim commodo eiusmod consectetur pariatur Lorem mollit labore. Exercitation magna excepteur ullamco esse fugiat aliquip cupidatat veniam labore do consequat non. Excepteur eu deserunt est nostrud enim est do exercitation. Fugiat veniam tempor incididunt veniam proident incididunt qui minim deserunt.

Id tempor magna nisi reprehenderit esse nisi reprehenderit. Occaecat tempor sint labore anim. Amet consectetur veniam eu occaecat exercitation. Dolore in commodo velit commodo fugiat ipsum dolore in id. Aliqua ad minim ipsum minim aute.

Official source

https://mediaspace.epfl.ch/media/0_nwugjic7

About this result

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.

Ontological neighbourhood

Mathematics

Analysis: Complex analysis

Probability theory: Topics in probability theory

Algebra: Representation theory

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing, Bayesian statistics

Related lectures (637)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.