Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Graph
Search

Course

MSE-610: Non-destructive evaluation methods

Summary

Basic knowledge of the classical non-destructive testing methods as they are used today in industrial applications and the advanced (mostly imaging) technologies used for the analysis of materials and components in special applications. It covers several material groups and various applications.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/non-destructive-evaluation-methods-MSE-610

Moodle Page

http://go.epfl.ch/MSE-610

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.

Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/non-destructive-evaluation-methods-MSE-610

Moodle Page

http://go.epfl.ch/MSE-610

About this result

Ontological neighbourhood

Health sciences

Radiology: Topics in radiology

Related courses (29)

MSE-668: Non-destructive methods for industry and research

Basic knowledge ofthe classical non-destructive testing methods as they are used today in industrial applications and the advanced (mosily imaginé) technologies used for the analysis of materials and components in special applications. lt covers several ma ...

PHYS-467: Machine learning for physicists

Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. ...

BIO-369: Randomness and information in biological data

Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. ...

MATH-232: Probability and statistics (for IC)

Cours d'introduction à la théorie des probabilités et aux statistiques. ...

MGT-484: Applied probability & stochastic processes

This course focuses on dynamic models of random phenomena, and in particular, the most popular classes of such models: Markov chains and Markov decision processes. We will also study applications in queuing theory, finance, project management, etc. ...