VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

401-0675-00L 3 Credits BSC D-CHAB
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Statistical and Numerical Methods for Chemical Engineers

Lecturers: Dr. Roger Käppeli, Prof. Dr. Chih-Jen Shih, Dr. Patric Müller
Examiners: Dr. Roger Käppeli, Dr. Patric Müller
VVZ CR n/a

Last Updated: 2026-02-05 16:15:14

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

Resources

Lecture Notes

For the numerics part, seehttp://www.sam.math.ethz.ch/~karoger/numci/2023/For the statistics part, seehttp://stat.ethz.ch/lectures/as23/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
  • Wed 08:15-10:00 (HG E 33.1)
2 h weekly
exercise Statistical and Numerical Methods for Chemical Engineers
  • Tue 07:45-09:30 (HCI H 8.1)
26 h semesterly

Offered In