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The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is emperical determination of relations between variables) and other multivariable statistical techniques are central. In particular linear regression, analysis of variance, design of experiments, logistic regression, survival analysis and simple time-series analysis is treated.
The course aims at introductions to many important topics. Teaching will be computer assisted and related to examples. Mathematics is kept at a minimum. Use of software package is integraded into the course. The course is in particular directed towards master and phd students who need knowledge of statistics for their thesis, but can also be part of a bachelor degree. The students are required to actively take part in practical exercises.
To participate in this course you must have an admission to a Ph.D.-programme at a Norvegian University or University College.
If you do not have an admission to the Ph.D.-Programme in Science at The Faculty of Mathematics and Natural Sciences at UiO, you have to apply for hospitantstatus (norwegian text) . For more information, please contact the Department.
None.
MAT1000 - Mathematics for applications I and STK1000 - Introduction to applied statistics
10 credits against STK4900 - Statistical methods and applications.
5 credits with STK2000 - Some central models and methods in statistic, 10 credits with STK3900 - Statistical methods and applications and 9 credits with ST301.
The information about overlaps is not complete. Contact the department for more information if necessay.
Teaching will be given intensively over two separate weeks, each day from 9.15 - 16.00.
One compulsory assignment has to be approved, after the first week of teaching. Final oral examination. A project will be a part of the final exam.
Rules for compulsory assignments at the mathematical institute (norwegian only)
Students are awarded either a passing or failing grade. The pass/fail scale is applied as an independent scale with only two possible results.
Visiting address:
Niels Henrik Abel's building, Moltke Moes vei
Postal address:
P.O.box 1053, Blindern
NO-0316 Oslo
Visiting hours:
Monday-friday 09:00-14:30
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