MATS4300 Analysis and X-ray tomography (4 cr)

Study level:
Advanced studies
Grading scale:
English, Finnish
Responsible organisation:
Department of Mathematics and Statistics
Curriculum periods:
2020-2021, 2021-2022, 2022-2023, 2023-2024


The course is an introduction to the mathematics of X-ray tomography. We will recall and apply many kinds of analysis: functional analysis, Fourier analysis, partial differential equations, and more.

Learning outcomes

After the course the student can formulate the inverse problem of X-ray tomography mathematically, connect it to the physical problem, and solve it. In addition the student will be acquainted with related tools in analysis.

Description of prerequisites

Functional analysis is a necessary prerequisite.

Completion methods

Method 1

Evaluation criteria:
Written and oral assignments.
Select all marked parts
Parts of the completion methods

Teaching (4 cr)

Participation in teaching
Grading scale:
English, Finnish
Study methods:

Lectures, assignments

No published teaching