The course consists of an applied statistical project with statistical analysis of a data set, including the writing of a report approaching the style of a scientific paper. The project is usually based on data from the students experiments or investigations and is closely related to the main topic of the ph.d.-studies. The student is expected to give one or two seminars during the project, typically a presentation of the problem at an early stage, and a final seminar. Course credit 12 ects points, meaning 20 percent of one years work.
Course arrangements Individual supervision of the project.
Teaching arrangements During the project meetings with the teacher are arranged on an individual basis. Special prerequisites Typically at least the equivalent of two statistics courses, but it may vary with the subject. The student must take at least one further statistics course at ph.d.-level to be admitted. The course is mathematically founded and prerequisits in mathematics and programming are advantageous. Ib Skovgaard, Bo Martin Bibby, Per Bruun Brockhoff, Torben Martinussen.