Course Unit

Catalogue

Analysis of Engineering Experiment

Unit Coordinator: Zdeněk Karpíšek
Programme: Double Degrees
ECTS Credits: 4
Semester: 2
Year: 2
Campus: Brno University of Technology
Language: English
Aims:

The course objective is to make students majoring in Mathematical Engineering and Physical Engineering acquainted with important selected methods of mathematical statistics used for a technical problems solution.

Content:

1.One-way analysis of variance.

2.Two-way analysis of variance.

3.Regression model identification.

4.Nonlinear regression analysis.

5.Regression diagnostic.

6.Nonparametric methods.

7.Correlation analysis.

8.Principle components.

9.Factor analysis.

10.Cluster analysis.

11.Continuous probability distributions estimation.

12.Discrete probability distributions estimation.

13.Stochastic modeling of the engineering problems.

Pre-requisites:

Descriptive statistics, probability, random variable, random vector, random sample, parameters estimation, hypotheses testing, and regression analysis.

Reading list:
  • Ryan, T. P.: Modern Regression Methods. New York : John Wiley, 2004.
  • Montgomery, D. C. - Renger, G.: Applied Statistics and Probability for Engineers. New York: John Wiley & Sons, 2003.
  • Hahn, G. J. - Shapiro, S. S.: Statistical Models in Engineering. New York: John Wiley & Sons, 1994.
Additional info:

The course is concerned with the selected parts of mathematical statistics for stochastic modeling of the engineering experiments: analysis of variance (ANOVA), regression models, nonparametric methods, multivariate methods, and probability distributions estimation.

Computations are carried out using the software as follows: Statistica, Minitab, and QCExpert.


Print  

Related Articles

InterMaths Network
A network of 12 European Universities, coordinated by Department of Information Engineering, Computer Science and Mathematics (DISIM) at University of L'Aquila in Italy (UAQ)