# 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 |