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

Semester Autumn Semester 2016
Lecturers R. Käppeli, P. Müller, M. Sokolov
Periodicity yearly course
Language of instruction English


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 of spectra
Lecture notes For the numerics part, see http://www.sam.math.ethz.ch/~karoger/numci/2016/

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