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Statistical and Numerical Methods for Chemical Engineers
Last Updated: 2026-02-05 15:34:58
Abstract
This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice.
Objective
This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice. The focus is on application of these algorithms to real world problems, while the underlying mathematical principles are also explained. The MATLAB environment is adopted to integrate computation, visualization and programming.
Content
Topics covered: Part I: Numerical Methods: - Interpolation & Numerical Calculus - Non-linear Equations - Ordinary Differential Equations - Partial Differential Equations - Linear and Non-linear Least Squares Part II: Statistical Methods: - Data analysis and regression methods - Statistical experimental design - Multivariate analysis of spectra
Resources
Lecture Notes
For the numerics part, seehttp://www.sam.math.ethz.ch/~karoger/numci/2020/For the statistics part, seehttp://stat.ethz.ch/lectures/as20/statistical-numerical-methods.php
Literature
Recommended reading: 1) U. Ascher and C. Greif, A First Course in Numerical Methods, SIAM, Philadelphia, 2011 2) K. J. Beers, Numerical Methods for Chemical Engineering : Applications in MATLAB, Cambridge : Cambridge University Press, 2006 3) W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, Numerical Recipes, Cambridge University Press 4) W. A. Stahel, Statistische Datenanalyse, Vieweg, 4th edition 2002
General Information
- Language
- English
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 20 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Statistical and Numerical Methods for Chemical Engineers |
|
2 h weekly |
| exercise | Statistical and Numerical Methods for Chemical Engineers |
|
26 h semesterly |