Credits: 3

Schedule: 25.03.2019 - 30.04.2019

Contact information for the course (applies in this implementation): 

Mikko Mäkelä (

Details on the course content (applies in this implementation): 

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

Content: Screening designs, optimization designs, mixture
designs, regression modelling, prediction, analysis of variance

Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation): 

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).

Details on calculating the workload (applies in this implementation): 

Lectures and exercises (5 * 4 h),
home and group work (~50 h)

Details on the course materials (applies in this implementation): 

Presentation slides, course reader, Matlab workbook, datasets

Details on the schedule (applies in this implementation): 

Five sessions and additional home and group work:

  1. March 25th (R011/B016), 8:30-12
  2. March 26th (R011/B018), 8:30-12
  3. March 28th (R011/B016), 8:30-12
  4. April 2nd (R011/B016), 8:30-12
  5. April 4th (R011/B016), 8:30-12


Registration and further information