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Statistical and numerical methods for chemical engineers
Statistische und numerische Methoden
Last Updated: 2026-02-05 15:13:09
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 underlaying mathematical principles are also explained. The MATLAB environment is adopted to integrate computation, visualization and programming.
Content
Topics covered: Part I: Numerical Methods: - computer arithmetic, roundoff errors and elementary propagation of errors. - numerical methods for solving scalar equations (fix point iteration, Newton method and the secant method) - Systems of linear equations - Systems of non-linear equations - Ordinary differential equations (non sitff and stiff): initial value problem and twopoint boundary value problems. Part II: Statistical Methods: - Data analysis and regression methods - Statistical experimental design - Multivariate analysis of spectra
Resources
Lecture Notes
For the numerical methods part, a script is available from Assistenz des Seminars fuer Angewandte Mathematik.For the statistics part, see stat.ethz.ch/~stahel/courses/cheming
Literature
Recommended reading: 1) R. Pratap, Getting Started with Matlab: A Quick Introduction for Scientists and Engineers, Qxford University Press, 2001 2) A. Constantinides, N. Mostoufi, Numerical Methods for Chemical Engineers with Matlab Applications, Prentice Hall, 1999 3) W.A. Stahel, Statistische Datenanalyse, Vieweg, 4th edition 2002
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- Vorlesungsunterlagen und Taschenrechner.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Statistische und numerische Methoden |
|
3 h weekly |