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.
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.