STK4051 – Computational statistics
Statistical analysis is becoming more and more complex, both because of bigger data and many types of data and because of the use of more advanced methods and models. This course deals with numerical methods for performing such analysis, both traditional and more modern methods.
After completing this course you have learned about:
- stochastic simulation techniques, including Markov Chain Monte Carlo;
- optimisation methods relevant for statistical methodology;
- bootstrapping and simulation-based inference methods;
- numerical methods for analysing large amounts of data;
- visualisation of data.
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 STK9051 – Computational statistics
*The information about overlaps for discontinued courses may not be complete. If you have questions, please contact the Department.
3 hours lecture/exercises each week.
Upon the attendance of three or fewer students, the lecturer may, in conjunction with the Head of Teaching, change the course to self-study with supervision.
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.
Examination support material
No examination support material is 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
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.