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, remember and understand core methods of mathematical statistics in order to assess power and optimality of statistical methods, are able to construct (optimal) confidence sets, understand selected statistical methods for high dimensional data,
understand the basic probabilistic treatment of financial time series, understand properties of statistical methods in theory and application are to model real data
Content
Code | 1210052 + 1210053 |
---|---|
Degree programme(s) | Mathematics in Finance and Industry, Mathematics, Data Science |
Lecturer(s) | Prof. Dr. Jens-Peter Kreiß, Prof. Dr. Nicole Mücke, Prof. Dr. Benedikt Jahnel |
Type of course | Lecture and exercise course |
Semester | Winter semester |
Language of instruction | English |
Level of study | Master |
ECTS credits | 10 |
Contact person | mathe-studium@tu-braunschweig.de |
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Technische Universität Braunschweig
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38106 Braunschweig
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GERMANY
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