Computational statistics

This course deepens your knowledge in statistical programming. The course provides tools useful in design of statistical surveys, estimation, hypothesis testing and Bayesian analysis. The course presents some basic principles for numerical computing, numerical matrix algebra, solutions to equations, function optimization, and simulation techniques

This course gives you knowledge about the basic principles of numerical computing. You will learn how to design and organize algorithms for function optimization, integration and simulation of distributions and how to solve statistical computing problems with help of statistical software. You will also learn how to carry out simulation experiments.

The course is given at day time, full time.

The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.


Teaching Format

The teaching forms consists of lectures and computer labs.

Course Information

More information for registered students will be found in Athena.

Assessment

Examination will be in the form of a written test and a written hand in assignment.

Examiner

Teachers Spring semester 2026

Course coordinator

Per Gösta Andersson

You will find Per Gösta´s reception hours in the link above. If you wish to visit Per Gösta outside of his reception hours, you are welcome to e-mail her for an appointment.

The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.








Teachers Spring semester 2026

Course coordinator

Per Gösta Andersson

You will find Per Gösta´s reception hours in the link above. If you wish to visit Per Gösta outside of his reception hours, you are welcome to e-mail her for an appointment.

If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.

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