In many industrial applications, one is interested in how a response variable is affected by changes in a number of factors. By systematically varying the factor levels one can find the optimum of the response variable in a cost-effective way. This course covers the theory of the most common tools for systematic design of experiments and methods for the statistical analysis of experimental data. Special emphasis is placed on full and fractional two-level factorial designs. Methods for the analysis of response surfaces with associated designs are included, as well as strategies for sequential experimental design. Finally, robust design and split-plot experiments are covered. To assist in determining experimental designs and analyzing data, appropriate statistical software is used throughout the course.
The course requires 90 hp including courses in Mathematical Statistics, minimum 15 ECTS or courses in Statistics, minimum 75 ECTS and in both cases a course in Basic Calculus, 7,5 ECTC. Proficiency in English equivalent to Swedish upper secondary course English A/5. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.
Application deadline was
16 October 2017.
Please note: This second application round is intended only for EU/EEA/Swiss citizens.