Inverse problems are about interpreting indirect measurements. The scientific study of inverse problems is an interdisciplinary field combining mathematics, physics, signal processing, and engineering. Examples of inverse problems include
The common features of all this problems are the need to understand indirect measurements and to overcome extreme sensitivity to noise and modelling inaccuracies.
The course involves working with practical measurement data. Therefore, it is a good choice for students planning a career in industry.
Recommended courses to take before this course: Linear algebra 1 and 2, Applications of matrix computations.
Some previous experience with Matlab programming is very helpful.
Period III: Lectures as follows:
Tuesday 10-12 in room D123
Wednesday 12-14 in room D123
Friday 12-14 in room C123.
Two hours of exercise classes per week.
Period IV: Lectures and exercises in the beginning of the period. Later project work, which is reported as a poster in a poster session.
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