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Multivariate Statistical Methods, 6 credits
The course is about conventional statistical methods that are used for analysis of multivariate data. The course contents is a mix of theoretical concepts and computer exercises. Such concepts as principal component analysis, factor analysis, canonical correlation analysis and many other concepts are studied in the course.
Language of instruction: English
Level: Master's level
Department offering the course: Department of Computer and Information Science
Contact: Lilian Alarik, 011-36 35 90, studievagledare-statistik@liu.se
Lotta Hallberg, 0734-618988, ann-charlotte.hallberg@liu.se
Specific admission requirements: For acceptance to the course, the student must have a bachelor’s degree with a total of at least 90 ECTS credits (1.5 years of full-time studies) in mathematics, applied mathematics, statistics, and computer science. The undergraduate courses in mathematics should include both calculus and linear algebra. Basic undergraduate course in computer science and at least one intermediate course in each of the following areas: probability theory, statistical inference and linear statistical models are also required.
| Course information | ||
|---|---|---|
| Semester: Autumn 2013 | ||
| Enrolment code: LIU- | ||
| Rate of study: Part-time | ||
| Campus: Linköping | ||
| Study Period: 201344 - 201403, 28 October 2013-17 January 2014 | ||
| Course code: 732A37 | ||
| Tuition fee: 9 498 SEK | ||
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See the contact person above
Last updated: Fri Jun 07 04:02:31 CEST 2013
