STK4900 - 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.
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Recommended previous knowledge
- 10 credits overlap with STK9900 - Statistical methods and applications
- 2 credits overlap with STK1110 - Statistical methods and data analysis 1
- 3 credits overlap with STK2120 - Statistical Methods and Data Analysis 2 (discontinued)
- 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)
- 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.
Depending on the number of students, the exam will be in one of the following four forms:
1.Only written exam
2.Only oral exam
3.A project paper followed by a written exam.
4.A project paper followed by an oral exam/hearing.
For the latter two the project paper and the exam counts equally and the final grade is based on a general impression after the final exam. (The two parts of the exam will not be individually graded.)
What form the exam will take will be announced by the teaching staff within October 15th for the autumn semester and March 15th for the spring semester.
If a project paper is included in the examination, a compulsory assignment must be approved after the first week of teaching. If a project paper is not included in the examination, one compulsory assignment must be approved after the first week of teaching, and one compulsory assignment must be approved after the second week of teaching.
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
For written exam: All printed and hand-written resources and approved calculator are allowed.
Information about approved calculators (Norwegian only)
For oral exam: 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 scale from A to F, where A is the best grade and F is a fail. 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
If you wish to withdraw from the exam you must do so in Studentweb at least two weeks prior to the deadline. Failure to do so 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.