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 Data might be outdated or incorrect.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You're viewing possible stale or outdated data.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: Prof. Dr. Chih-Jen Shih, Dr. Patric Müller, Dr. Marius Zeinhofer
Examiners: Dr. Patric Müller, Dr. Marius Zeinhofer
VVZ CR n/a

Last Updated: 2026-06-01 11:30:50

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, seehttps://people.math.ethz.ch/~mzeinhofer/numci/2025/For the statistics part, seehttp://stat.ethz.ch/lectures/as25/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
The learning tasks offered during the semester measure active participation inthe exercises, which is graded in several sub-steps with up to 0.25 grade points.This bonus of 0 to 0.25 is added unrounded to the grade from the oral exam.Participation is graded by submitting and discussing core tasks.

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)
2 h weekly

Offered In