Statistical and Numerical Methods for Chemical Engineers
Autumn semester 2026
General information
| Lecturer | Dr. Alexandre Mösching |
|---|---|
| Lectures | Every Wednesday, from 08:15 to 10:00 am |
| Room | HG E 33.1 |
| Course catalogue | ETH course catalogue |
Course content
This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice.
The course consists of a numerical part, taught by Dr. S. Simonis, followed by a statistical part, taught by Dr. A. Mösching. This page covers the statistical part only. Information on the numerical part and the exercises is available on the course page of the Shih lab.
For questions about the statistical part, please contact Dr. Alexandre Mösching by email.
Announcements
-
Start of the statistical part: November 18, 2026
Slides
Slides and lecture notes will be posted here before each lecture.
| Week | Topic |
|---|---|
| Week 1
(November 18, 2026) |
Simple linear regression |
| Week 2
(November 25, 2026) |
Multiple linear regression |
| Week 3
(December 2, 2026) |
Nonlinear regression |
| Week 4
(December 9, 2026) |
Design of experiment: Response Surface Methods |
| Week 5
(December 16, 2026) |
Multivariate Statistics: Principal Component Analysis |
Exercises
Further reading
- Lukas Meier, Wahrscheinlichkeitsrechnung und Statistik, Springer, Berlin, 2020.
- W. A. Stahel, Statistische Datenanalyse, Vieweg, 4th edition 2002