STK9900 – Statistical methods and applications
Schedule, syllabus and examination date
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 students will become familiar with many important topics in
applied statistics. Teaching will be computer assisted and related to examples. Mathematics is kept at a minimum, while it is expected that the students have a basic knowledge of statistics at the level of STK1000 – Introduction to applied statistics. Use of a software package is integraded into the course. The course is in particular directed towards master and phd students who need knowledge of statistics beyond an introductory course for their thesis work. The students are required to actively take part in practical exercises.
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.
Recommended previous knowledge
- 10 credits overlap with STK4900 – Statistical methods and applications
- 2 credits overlap with STK1110 – Statistical methods and data analysis
- 5 credits overlap with STK3100 – Introduction to generalized linear models
- 5 credits overlap with STK4100 – Introduction to generalized linear models
- 3 credits overlap with STK1120 – Statistical methods and data analysis 2 (continued)
- 5 credits overlap with STK2000 – Some central models and methods in statistic (discontinued)
- 3 credits overlap with STK2120 – Statistical Methods and Data Analysis 2 (discontinued)
- 10 credits overlap with STK3900 – Statistical methods and applications (discontinued)
The information about overlaps is not complete. Contact the department for more information if necessary.
Teaching will be given intensively over two separate weeks, each day from 9.15 - 16.00.
Final oral or written examination. The form of examination will be announced by the teaching staff by 15 October/15 March for the autumn semester and the spring semester respectively.
Lectures, exercises and the compulsory assignment are given jointly for STK4900 and STK9900, but the exam questions are not the same for the two courses.
Examination support material
Written examination: All printed and hand-written resources and approved calculators are allowed.
Information about approved calculators (Norwegian only)
Oral examination: No resources are allowed
Language of examination
Subjects taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
This course offers both postponed and resit of examination. Read more:
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.