Chih-Jen Shih: Katalogdaten im Herbstsemester 2019 |
| Name | Herr Prof. Dr. Chih-Jen Shih |
| Lehrgebiet | Technische Chemie |
| Adresse | Professur für Technische Chemie ETH Zürich, HCI F 137 Vladimir-Prelog-Weg 1-5/10 8093 Zürich SWITZERLAND |
| Telefon | +41 44 633 42 40 |
| chih-jen.shih@chem.ethz.ch | |
| Departement | Chemie und Angewandte Biowissenschaften |
| Beziehung | Ausserordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 401-0675-00L | Statistical and Numerical Methods for Chemical Engineers | 3 KP | 2V + 2U | R. Käppeli, P. Müller, C.‑J. Shih, M. Sokolov | |
| Kurzbeschreibung | This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice. | ||||
| Lernziel | 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. | ||||
| Inhalt | 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 | ||||
| Skript | For 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 | ||||
| Literatur | Recommended 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 | ||||