Course MV-LTD-86081-K-7
Data evaluation and design of experiments (2V, 3.0 LP)
Course Type
SWS | Type | Course Form | CP (Effort) | Presence-Time / Self-Study | |
---|---|---|---|---|---|
2 | V | Lecture with integrated exercises | 3.0 CP | 28 h | 62 h |
(2V) | 3.0 CP | 28 h | 62 h |
Basedata
Possible Study achievement
- Verification of study performance: tests / audited elaborations
- Details of the examination (type, duration, criteria) will be announced at the beginning of the course.
Contents
-
Basics of statistics:
- Hypothesis testing
- Analysis of variance
-
Data analysis:
- Correlation analysis
- Principal Component Analysis (PCA)
-
Data-based modeling:
- linear regression
- partial least squares
- non-linear regression
- model evaluation and discrimination
-
Design of experiments:
- factorial experiments
- model-based experimental design
- independent application of theory in practical computer exercises
Competencies / intended learning achievements
1. Lecture
The students are able to
- describe basic methods of statistics, parameter estimation and experimental design
- estimate parameters
- evaluate models using statistical methods
2. Exercise
The students are able to
- apply the methods discussed in the lecture independently in small groups
- estimate parameters for process engineering models
- evaluate the developed models by statistical means
- create statistical experimental designs and identify optimal experimental conditions
Literature
- D. C. Montgomery, Design and Analysis of Experiments, Wiley
- A. Rasmuson et al., Mathematical Modeling in Chemical Engineering, Cambridge University Press
- Peter Goos, Bradley Jones; Optimal Design of Experiments: A Case Study Approach
Materials
Electronic blackboard, slides, interactive computer exercise (Matlab)
Requirements for attendance (informal)
Previous knowledge of higher mathematics
Requirements for attendance (formal)
None
References to Course [MV-LTD-86081-K-7]
Module | Name | Context | |
---|---|---|---|
[MV-LTD-M187-M-7] | Data evaluation and design of experiments | P: Obligatory | 2V, 3.0 LP |
Notes on the module handbook of the department Mechanical and Process Engineering
Ausnahmen: