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

SemesterAutumn Semester 2020
LecturersR. Käppeli, P. Müller, C.‑J. Shih, M. Sokolov
Periodicityyearly recurring 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 Link

For the statistics part, see Link
LiteratureRecommended 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