Roger Käppeli: Katalogdaten im Herbstsemester 2022

NameHerr Dr. Roger Käppeli
Adresse
Professur für Angew. Mathematik
ETH Zürich, HG G 52.1
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telefon+41 44 632 84 95
E-Mailroger.kaeppeli@sam.math.ethz.ch
URLhttps://people.math.ethz.ch/~karoger/
DepartementMathematik
BeziehungDozent

NummerTitelECTSUmfangDozierende
401-0675-00LStatistical and Numerical Methods for Chemical Engineers3 KP2V + 2UR. Käppeli, P. Müller, C.‑J. Shih
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
SkriptFor the numerics part, see http://www.sam.math.ethz.ch/~karoger/numci/2022/

For the statistics part, see http://stat.ethz.ch/lectures/as22/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
401-2813-00LProgramming Techniques for Scientific Simulations I Belegung eingeschränkt - Details anzeigen 5 KP4GR. Käppeli
KurzbeschreibungThis lecture provides an overview of programming techniques for scientific simulations. The focus is on basic and advanced C++ programming techniques and scientific software libraries. Based on an overview over the hardware components of PCs and supercomputer, optimization methods for scientific simulation codes are explained.
LernzielThe goal of the course is that students learn basic and advanced programming techniques and scientific software libraries as used and applied for scientific simulations.