gloriazhang8664/data-analytics-se

ME 539 - Introduction to Scientific Machine Learning

ME 539 - Introduction to Scientific Machine Learning

This is the lecturebook repository for the course "ME 539 Introduction to Scientific Machine Learning" which will be taught (Fall 2021) by Prof. Ilias Bilionis at Purdue University. The course is fully online with the videos being accessible through EdX and Purdue's Brightspace. We will stop supporting EdX after Summer 2022.

The material is published under the GNU General Public License. You can reuse it in your own courses as soon as you also include the same License and cite this repository. Please send me an email if you do as I would love to know!

Lecture Book

You can find the lecture book here.

Older Course Versions

This course evolved from the ME 597 "Data Analytics for Scientists and Engineeers" taught two times by Prof. Bilionis, and the ME 597/MA 598 "Introduction to Uncertainty Quantification" taught three times by Prof. Bilionis (the first time, Spring 2016 it was co-taught with Prof. Guang Lin). If you are interested in accessing the old versions of the course, they can be found here.

You can find the Fall 2021 version of the class here.

Note, that there is also a, 1-credit, undergraduate version of the course under the name ME 297 "Introduction to Data Science for Mechanical Engineers." This version can be found here.