Startsida
Computational statistics, 6 credits
The course aims to provide an understanding of computational tools and algorithms used for making statistical and numerical analyses. The course contents is a mix of theoretical concepts, computer exercises in programming language R and discussion seminars. Such concepts as random number generation, Markov Chain Monte Carlo, solving systems of equations, numerical likelihood maximization, stochastic search algorithms 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. The student shall have taken at least one course at advanced level in statistics and a course including including multiple linear regression. Also, the student should have passed a programming course covering at least 6 ECTS credits.
| Course information | ||
|---|---|---|
| Semester: Spring 2014 | ||
| Enrolment code: LIU- | ||
| Rate of study: Part-time | ||
| Campus: Linköping | ||
| Study Period: 201414 - 201423, 31 March-8 June 2014 | ||
| Course code: 732A38 | ||
| Tuition fee: 9 498 SEK | ||
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Last updated: Fri Jun 07 04:02:24 CEST 2013
