Kursplan

SYLLABUS

Multivariate Methods, 7,5 ECTS Credits

COURSE CATEGORY   Singel Subject Course
MAIN FIELD OF STUDY   Statistik - STA
SUBJECT AREA

COURSE CODE

732G08

AIM OF THE COURSE

Having completed the course, the student should be able to
- use knowledge about the most common multivariate methods
- display good understanding of major principles for interpretation and assessment of multivariate models
- use a standard statistical computer package to estimate and assess components from a given data set with multivariate methods
- verbally interpret the results from an analysis of multivariate models

CONTENTS

The course provides basic skills for professional work with statistical problems with several correlated random variables.
Multivariate normal distributions. Distributions of quadratic forms. Confidence regions and test. Principal components
analysis. Factor analysis. Discriminant analysis. Cluster analysis. Canonical correlation. Multidimensional
scaling.

TEACHING

The teaching of the course is conducted mainly via internet. The language of instructions is english.

EXAMINATION

The course is examined by exercises and by an oral or a written exam.

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.

ADMISSION REQUIREMENTS

The student must have passed courses in statistics corresponding to at least one year of full-time undergraduate studies. Also linear algebra is required.
Documented knowledge of English equivalent to "Engelska B"; i.e. English as native language or an internationally recognized test, e.g. TOEFL (minimum scores: Paperbased 550 + TWE-score 4.0, computorbased 213 and internetbased 79), IELTS, academic (minimum score: Overall band 6.0 and no band under 5.0), or equivalent.

GRADING

The course is graded according to the ECTS grading scale A-F

CERTIFICATE

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.

COURSE LITERATURE

The course literature is decided upon by the department in question.

OTHER INFORMATION

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.

Multivariate Methods
Multivariate Methods

Department responsible
for the course or equivalent: IDA - Department of Computer and Information

Registrar No: 127/07-41

Course Code: 732G08

Exam codes: see Local Computer System

Subject/Subject Area : Statistik - STA

Level		Education level			Subject Area Code		Field of Education
G2X		Basic level			STA		SA

The syllabus was approved by the Board of Faculty of Arts and Science 2007-10-05