Experimental Planning I

The course covers randomised testing, randomised block testing, sample testing, Latin and Greek-Latin squares, factorial testing with two- and three-factor levels, effects of factorial correlation, fractional factorial testing, response surfaces and split-plot testing.

Progressive specialisation: G1F (has less than 60 credits in first‐cycle course/s as entry requirements)

Education level: Undergraduate level

Admission requirements: A minimum of 30 credits in Statistics.

Selection: Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.