|Multivariate Methods, 7,5 ECTS Credits|
|AIM OF THE COURSE|
|The objective of the course is that the students shall achieve advanced knowledge in statistical methods for analysis of
data materials consisting of several variables.
|Multivariate normal distributions. Distributions of quadratic forms. Confidence regions and test. Principal components
analysis. Factor analysis. Discriminat analysis. Cluster analysis. Canonical correlation. Multidimensional
|The teaching of the course is conducted mainly via internet using software suggested for courses within Nätuniversitetet|
|The course is examined by exercises and by an oral or a written exam.
Students who have failed an examination are normally allowed to retake it on two additional occasions, one of which should be arranged shortly after the first examination.
Students failing an exam covering either the entire course or part of the course two times are entitled to have a new examiner appointed for the reexamination.
Students who have passed an examination may not retake it in order to improve their grades.
Documented knowledge of English equivalent to “Engelska B” is required, or an international proficiency test, e.g. TOEFL, minimum score 550/213.The student must have passed courses in statistics corresponding to at least one year of full-time undergraduate studies.
|The course is graded according to the ECTS grading scale A-F|
|Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division.|
|The course literature is decided upon by the department in question.|
|Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.
The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.