Experimental Design
This course introduces you to statistical experimental design and experimental methods used in social sciences as well as economics, science, technology and medicine. You will learn how to design- and conduct experiments, and analyse data generated from experiments.
The course gives you knowledge about several kinds of experiments, such as one factor experiments, randomized blocks, Latin squares, 2k-factorial experiments, and split plot experiments. The theory presented is exemplified with a large number of applications. You will learn how to choose adequate experimental designs for different types of problems and situations and to analyse data generated by factorial experiments by using analysis of variance.
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Course structure
The course is given at day time, full time.
The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.
Teaching format
The teaching forms consist of lectures and exercises.
Language: English.
Course information
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Course description fall 2024 (395 Kb)
More information for registered students will be found in Athena.
Assessment
Examination will comprise a written test and written and/or oral presentations of a compulsory exercise.
Examiner
Teachers autumn 2024
Course coordinator
You'll find Frank's reception hours in the link above. If you wish to visit Frank outside of his reception hours, you are welcome to e-mail him for an appointment.
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Course reports
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Contact
If you have questions about the course, please contact the cours coordinator:
Teachers autumn 2024
Course coordinator
You'll find Frank's reception hours in the link above. If you wish to visit Frank outside of his reception hours, you are welcome to e-mail him for an appointment.
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
