Omfattning: 3
Tidtabel: 25.03.2019 - 30.04.2019
Kontaktuppgifter till kursens personal (gäller denna kursomgång):
Mikko Mäkelä (firstname.lastname@aalto.fi)
Närmare beskrivning av kursens innehåll (gäller denna kursomgång):
A practical course on the use of experimental design
and response surface methodology for modelling empirical data. Covers relevant
background and theory required to select and analyse an appropriate
experimental design for extracting information about a system. Examples and
exercises in Matlab® and commercial design software are used to introduce
practical aspects and problems often encountered while using experimental
design. An ideal starting point for every experimenter who wishes to work
effectively, extract maximal information and predict the future behaviour of their
system.
Content: Screening designs, optimization designs, mixture
designs, regression modelling, prediction, analysis of variance
Närmare information om bedömningsgrunderna och -metoderna och om hur den studerande kan ta del av bedömningen (gäller denna kursomgång):
Learning
outcomes: After the course the students
will be able to;
- Identify
the basic principles of experimental desigs
- Use
different programs for experimental design
- Recognise
and use different design types
- Determine a
suitable regression model based on design data
- Identify
and apply different tools for model diagnostics
Course assessment is based onattendance and email exam (grading pass/fail).
Preciserad belastningsberäkning (gäller denna kursomgång):
Lectures and exercises (5 * 4 h),
home and group work (~50 h)
Närmare information om kursmaterial (gäller denna kursomgång):
Presentation slides, course reader, Matlab workbook, datasets
Närmare information om tidtabellen (gäller denna kursomgång):
Five sessions and additional home and group work:
- March 25th (R011/B016), 8:30-12
- March 26th (R011/B018), 8:30-12
- March 28th (R011/B016), 8:30-12
- April 2nd (R011/B016), 8:30-12
- April 4th (R011/B016), 8:30-12