401-0675-00L  Statistical and Numerical Methods for Chemical Engineers

SemesterHerbstsemester 2019
DozierendeR. Käppeli, P. Müller, C.‑J. Shih, M. Sokolov
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch


KurzbeschreibungThis course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice.
LernzielThis 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.
InhaltTopics 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
SkriptFor the numerics part, see http://www.sam.math.ethz.ch/~karoger/numci/2019/

For the statistics part, see http://stat.ethz.ch/lectures/as19/statistical-numerical-methods.php
LiteraturRecommended 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