Course detail

Design of Experiment

FSI-9PLEAcad. year: 2020/2021

Introduction. Strategy for experimental design. Interaction. Two-dimensional models. Orthogonal design. Rotatable design. Central composite design.

Language of instruction

Czech

Number of ECTS credits

0

Mode of study

Not applicable.

Learning outcomes of the course unit

Student will be able to plan and statistically evaluate scientific experiment.

Prerequisites

None

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline.

Assesment methods and criteria linked to learning outcomes

Zkouška bude udělena na základě prezentace čí předložení vědeckého článku, kde student prezentuje použití plánovaného experimentu (DoE) v oboru jeho výzkumů.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Learning outcomes of the course are to acquaint students with the basic procedures used in effective experimentation. The task of the course is to show that it is not enough to do it some experiment, but it is most necessary to look at the results after analyzing the results model.

Specification of controlled education, way of implementation and compensation for absences

Lecture optional

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Montgomery, D.C.:: Design and Analysis of Experiments.. John Wiley & Sons. New Zork, 1991.
Himmelblau, D.M.:: Process Analysis by Statistical Methods.. John Wiley & Sohns. New York, 1969.

Recommended reading

Jarošová, E.:: Navrhování experimentů.. EO VŠE. Praha, 1998.
Felix, M.; Bláha, K.:_: Matematickostatistické metody v chemickém průmyslu.. SNTL. Praha, 1962.

Classification of course in study plans

  • Programme D-IME-P Doctoral, 1. year of study, summer semester, recommended

Type of course unit

 

Lecture

20 hours, optionally

Teacher / Lecturer

Syllabus

1. Introduction
2. Strategy for experimental design.
3. Interaction.
4. Two-dimensional models.
5. Orthogonal design.
6. Rotatable design.
7. Three and higher dimensional model.
8. Full experimental design
9. Partial experimental design
10. Central composite design.