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Syllabus:

Statistical Data Mining, 7.5 credits

The course is discontinued

Swedish name: Statistisk informationsutvinning
This syllabus is valid: 2017-06-26 and until further notice
Syllabus for courses starting after 2017-06-26
Course code: 5MS046
Credit points: 7.5
Education level: Second cycle
Main Field of Study and progress level: Mathematical Statistics: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass, Fail
Responsible department: Department of Mathematics and Mathematical Statistics
Established by: Faculty Board of Science and Technology, 2014-10-21
Revised by: Faculty Board of Science and Technology, 2017-10-02

Required Knowledge

Courses in Mathematical Statistics, minimum 15 ECTS, including a course in Inference Theory, or courses in Statistics, minimum 75 ECTS and a course in Calculus, minimum 7,5 ECTS. Proficiency in English equivalent to Swedish upper secondary course English A. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
 

Literature

Valid from: 2014 week 35

An Introduction to Statistical Learning : with Applications in R
James Gareth., Witten Daniela., Hastie Trevor., Tibshirani Robert.
New York, NY : Springer New York : 2013. : xiv, 426 p. 150 ill., 146 ill. in color. :
ISBN: 9781461471370
Mandatory
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