Samuli Siltanen

In this course you get to work with real data, either from a X-ray data or a photograph. The results will be shown on a poster.

1.10.2019 at 08:00 - 15.12.2019 at 23:59


Here is the course’s teaching schedule. Check the description for possible other schedules.

Tue 29.10.2019
12:00 - 14:00
Tue 19.11.2019
12:00 - 14:00
Thu 21.11.2019
12:00 - 14:00
Tue 3.12.2019
12:00 - 14:00
Wed 4.12.2019
14:00 - 16:00
Thu 12.12.2019
12:00 - 14:00


Optional course.

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

The course belongs to the Mathematics and Applied mathematics module.

The course is available to students from other degree programmes.

Inverse Problems

Students, working in pairs, measure data in the Industrial Mathematics laboratory. The data can be X-ray tomography data or digital photographs. The computational inversion methods learned in the "Inverse Problems" course are then applied to the data.

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

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

Measurement and calibration of data, implementation of a computational inversion method.

This course is organized at the same time as the course Inverse problems 2: tomography and regularization.

Mueller & Siltanen: Linear and nonlinear inverse problems with practical applications, SIAM 2012

Introductory lecture about scientific reporting, feedback session.

Course will be graded with grades 1-5. The project is done in two phases, with 1/3 of the grade coming from Phase 1.

Final report in the form of a poster. There is a poster session at the end of the course.