401-0675-00L Statistical and Numerical Methods for Chemical Engineers
| Semester | Autumn Semester 2023 |
| Lecturers | R. Käppeli, P. Müller, C.‑J. Shih |
| Periodicity | yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | ||||
|---|---|---|---|---|---|---|---|
| 401-0675-00 V | Statistical and Numerical Methods for Chemical Engineers | 2 hrs |
| R. Käppeli, P. Müller | |||
| 401-0675-00 U | Statistical and Numerical Methods for Chemical Engineers | 26s hrs |
| C.‑J. Shih |
Catalogue data
| Abstract | This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice. | |||||||||
| Learning 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 | |||||||||
| Lecture notes | For the numerics part, see http://www.sam.math.ethz.ch/~karoger/numci/2023/ For the statistics part, see http://stat.ethz.ch/lectures/as23/statistical-numerical-methods.php | |||||||||
| Literature | 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 | |||||||||
Competencies |
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Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| In examination block for | Bachelor's Degree Programme in Chemical Engineering 2018; Version 26.09.2022 (Examination Block III) Bachelor's Degree Programme in Chemical Engineering 2018; Version 26.09.2022 (Examination Block IV) |
| ECTS credits | 3 credits |
| Examiners | R. Käppeli, P. Müller |
| Type | session examination |
| Language of examination | English |
| Repetition | The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. |
| Mode of examination | oral 20 minutes |
| If the course unit is part of an examination block, the credits are allocated for the successful completion of the whole block. This information can be updated until the beginning of the semester; information on the examination timetable is binding. | |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| There are no additional restrictions for the registration. |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| Chemical Engineering Bachelor | Examination Block IV | O | |