STK9900 – Statistical Methods and Applications
Course description
Course content
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.
Learning outcome
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.
Admission to the course
PhD candidates from the Faculty of Mathematics and Natural Sciences at 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
- STK1000 – Introduction to Applied Statistics or STK1100 – Probability and Statistical Modelling or STK-FYS1110 – Probability, modeling and data analysis for the physical subjects
- An introductory course in mathematics
Overlapping courses
- 10 credits overlap with STK4900 – Statistical Methods and Applications.
- 5 credits overlap with STK3100 – Introduction to Generalized Linear Models.
- 5 credits overlap with ST-IN216.
- 5 credits overlap with STK4100 – Introduction to Generalized Linear Models.
- 5 credits overlap with ST213.
- 5 credits overlap with ST202.
- 3 credits overlap with ST202A.
- 3 credits overlap with STK2120 – Statistical Methods and Data Analysis 2 (discontinued).
- 3 credits overlap with STK1120 – Statistical methods and data analysis 2 (continued).
- 2 credits overlap with STK1110 – Statistical Methods and Data Analysis.
Teaching
Teaching will be given intensively over two separate weeks. In these two weeks there will be teaching 09:15-16:00 every day.
The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.
Examination
Final written exam or final oral exam, which counts 100 % towards the final grade.
The form of examination will be announced by the lecturer by 15 October/15 March for the autumn semester and the spring semester respectively.
This course has 2 mandatory assignments that must be approved before you can sit the final exam.
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 examination support material is allowed.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
Resit an examination
This course offers both postponed and resit of examination. Read more:
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.