Kaisa_2012_3_photo by Veikko Somerpuro

8.1.2018 at 08:00 - 28.1.2018 at 23:59



Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Statistics and Social statistics module.

The course is available to students from other degree programmes.

Bsc level statistics, R software

Computational statistics

Knowledge of methods for high-dimensional inference problems and practical experience of solving them with computer.

Recommended time/stage of studies for completion: 1. or 2. year

Term/teaching period when the course will be offered: varying

Statistical inference when either the number of data units is large and/or each unit has been measured on a large number of variables. Includes techniques for variable selection, dimension reduction and large-scale inference. Applications across modern data science.

Material given later.

Lectures, computer excersises, project work.

Computer excercises and project work, Course will be graded with grades 1-5

Exercises and project work.