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

SemesterAutumn Semester 2016
LecturersR. Käppeli, P. Müller, M. Sokolov
Periodicityyearly course
Language of instructionEnglish


AbstractThis course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice.
ObjectiveThis 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.
ContentTopics 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
Lecture notesFor the numerics part, see http://www.sam.math.ethz.ch/~karoger/numci/2016/

For the statistics part, see http://stat.ethz.ch/~muellepa/
LiteratureRecommended 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) K.J. Beers: Numerical Methods for Chemical Engineering, Cambridge, 2007
4) W. A. Stahel, Statistische Datenanalyse, Vieweg, 4th edition 2002