The students understand the of the complex links between their previous mathematical knowledge and the contents of the lecture,
understand the theoretical body of the lecture as a whole and master the corresponding methods, are able to analyze and apply the methods of the lecture, know and understand the notion of well- and ill-posedness and of regularization methods and their properties, are able to understand, analyze and apply methods to approximately solve ill-posed problems and use them with mathematical software.
Content
Code | 1295012 + 1295013 |
---|---|
Degree programme(s) | Mathematics in Finance and Industry, Mathematics, Computational Sciences in Engineering (CSE), Data Science |
Lecturer(s) | Dr. Florian Bürgel |
Type of course | Lecture + exercise course |
Semester | Summer semester |
Language of instruction | English |
Level of study | Master |
ECTS credits | 5 |
Contact person | Dr. Florian Bürgel |