Method of Experiment Planning and Processing | Faculty of Technical Sciences

Subject: Method of Experiment Planning and Processing (17.P2617)

Native organizations units: Department of Production Engineering

Type of studies	Title
Undergraduate Academic Studies	Production Engineering (Year: 4, Semester: Winter)

General information:

Category	Scientific-professional
Scientific or art field	Processes for Material Removal Processing Metrology, Quality, Fixtures and Ecological-Engineering Aspects Processes for Material Removal Processing
ECTS	5

Mastering the content in the field of planning methods and experiments.

The competence to critically analyze the existing solutions and synthesize the original solutions in the field of computer integration of production systems.

Mathematical theory of the experiment. Displaying the results of experimental research. The process of realization plans experiment. Distribution of experimental plans. One factor plans (regression analysis, dispersion analysis). Determining more effective parameters depending on the one factor experiment. Multifactor plans. Multifactor plans second order. Partial factor plans. Taguchi plans conclusively. Determination of the model by applying artificial intelligence methods. Analysis and interpretation of experimental data.

Lectures are realized interactively through lectures, auditory, laboratory and computer practical classes. In lectures theoretical part is presented with characteristic examples for better understanding of subject content. In auditory practical classes, characteristical exercises are covererd. Acquired knowledge is practically applied in laboratory practical classes using avalilable laboratory equipment. Apart from lectures and practical classes, consultations are held regularly.

Authors	Title	Year	Publisher	Language
Zörnig P.	Probability Theory and Statistical Applications : A Profound Treatise for Self-Study	2016	Berlin/Boston : De Gruyter.	English
Box, G. E.; Hunter, W. G.; Hunter, J. S.	Statistics for Experimenters: Design, Innovation, and Discovery	2005	John Wiley & Sons, Inc. New York	English
Cus F.	Modeling and optimization of metal cutting	2005	Faculty of Mechanical Engineering	English

Course activity	Pre-examination	Obligations	Number of points
Test	Yes	Yes	10.00
Term paper	Yes	Yes	20.00
Oral part of the exam	No	Yes	20.00
Lecture attendance	Yes	Yes	5.00
Test	Yes	Yes	10.00
Written part of the exam - tasks and theory	No	Yes	30.00
Exercise attendance	Yes	Yes	5.00