Lecture: Mi, 12-14h, HS II, Albertstr. 23b
Tutorial: 2 hours, date to be determined
Teacher: Thorsten Schmidt
Assistant: Simone Pavarana
Language: in English
In this lecture we will study new and highly efficient tools from machine learning which are applied to stochastic problems. This includes neural SDEs as a generalisation of stochastic differential equations relying on neural networks, transformers as a versatile tool not only for languages but also for time series, transformers and GANs as generator of time series and a variety of applications in Finance and insurance such as (robust) deep hedging, signature methods and the application of reinforcement learning.
The prerequisites are stochastics, for some parts we will require a good understanding of stochastic processes. A (very) short introduction will be given in the lectures – so for fast learners it would be possible to follow the lectures even without the courses on stochastic processes.
Elective (Option Area) (2HfB21)
Compulsory Elective in Mathematics (BSc21)
Supplementary Module in Mathematics (MEd18)
Applied Mathematics (MSc14)
Mathematics (MSc14)
Concentration Module (MSc14)
Elective (MSc14)
Elective in Data (MScData24)
Probability Theory for Computer Science Students
Lecture: Mo, 10-12h, HS 00-036, Georges-Köhler-Allee 101
Tutorial: 2 hours, various dates
Teacher: Thorsten Schmidt
Lecture: Mo, Mi, 12-14h, SR 404, Ernst-Zermelo-Str. 1
Tutorial: 2 hours, date to be determined
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
Language: in English
This lecture marks the culmination of our series on probability theory, achieving the ultimate goal of this series: the combination of stochastic analysis and financial mathematics---a field that has yielded an amazing wealth of fascinating results since the 1990s. The core is certainly the application of semimartingale theory to financial markets culminating in the fundamental theorem of asset pricing. This results is used everywhere in financial markets for arbitrage-free pricing.
After this we look into modern forms of stochastic analysis covering neural SDEs, signature methods, uncertainty and term structure models. The lecture will conclude with an examination of the latest applications of machine learning in financial markets and the reciprocal influence of stochastic analysis on machine learning.
Required: Probability Theory II (Stochastic Processes)
Elective (Option Area) (2HfB21)
Compulsory Elective in Mathematics (BSc21)
Applied Mathematics (MSc14)
Mathematics (MSc14)
Concentration Module (MSc14)
Elective (MSc14)
Advanced Lecture in Stochastics (MScData24)
Elective in Data (MScData24)
Seminar: Fr, 10-12h, SR 125, Ernst-Zermelo-Str. 1
Preregistration:
Preliminary Meeting 18.10.
Preparation meetings for talks: Dates by arrangement
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
Language: Talk/participation possible in German and English
This seminar will focus on theoretical machine learning results, including modern universal approximation theorems, approximation of filtering methods through transformes, application of machine learning methods in financial markets and possibly other related topics. Moreover, we will cover topics in stochastic analysis, like fractional Ito calculus, uncertainty, filtering and optimal transport. You are also invited to suggest related topics.
Required: Basic Probability and either Machine Learning or Probability Theory II (Stochastic Processes).
Elective (Option Area) (2HfB21)
Mathematical Seminar (BSc21)
Compulsory Elective in Mathematics (BSc21)
Supplementary Module in Mathematics (MEd18)
Mathematical Seminar (MSc14)
Elective (MSc14)
Mathematical Seminar (MScData24)
Elective in Data (MScData24)
Lecture: Fr, 10-12h, SR 226, Hermann-Herder-Str. 10, Do, 12-14h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
Mi, 16-17h, HS II, Albertstr. 23b
Teacher: David Criens, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Harald Binder, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt, Jens Timmer
Lecture: Mo, Mi, 12-14h, HS II, Albertstr. 23b
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general:
Compulsory Elective in Mathematics (BSc21)
Mi, 16-17h, SR 226, Hermann-Herder-Str. 10
Teacher: David Criens, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, SR 125, Ernst-Zermelo-Str. 1
Teacher: Harald Binder, Angelika Rohde, Thorsten Schmidt, Jens Timmer
Lecture: Mo, Mi, 12-14h, HS II, Albertstr. 23b
Sit-in exam (resit) 11.10., 09:15-10:45
26.07., 09:15-10:45
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general:
Compulsory Elective in Mathematics (BSc21)
Mathematical Concentration (MEd18, MEH21)
Applied Mathematics (MSc14)
Lecture: Di, 10-12h, SR 226, Hermann-Herder-Str. 10
Teacher: Thorsten Schmidt
Assistant: Lars Niemann
general:
Do, 10-12h, SR 125, Ernst-Zermelo-Str. 1
Teacher: Peter Pfaffelhuber, Thorsten Schmidt
Assistant: Ernst August von Hammerstein
Compulsory Elective in Mathematics (BSc21)
Supplementary Module in Mathematics (MEd18)
Fr, 13-14h, HS II, Albertstr. 23b
Teacher: David Criens, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, HS II, Albertstr. 23b
Teacher: Harald Binder, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt, Jens Timmer
Lecture: Fr, 10-12h, HS Weismann-Haus, Albertstr. 21a
29.07., 10:00-12:00
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general: ,
Compulsory Elective in Mathematics (BSc21)
Lecture: Mo, Mi, 12-14h, HS II, Albertstr. 23b
25.07., 12:00-14:00
Sit-in exam (resit) 13.10., 10:00-12:00
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general:
Compulsory Elective in Mathematics (BSc21)
Mathematical Concentration (MEd18, MEH21)
Applied Mathematics (MSc14)
Fr, 13-14h, HS II, Albertstr. 23b
Teacher: Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, HS II, Albertstr. 23b
Teacher: Harald Binder, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt, Jens Timmer
Lecture: Fr, 10-12h, HS Weismann-Haus, Albertstr. 21a
22.02., 00:00-00:00
Sit-in exam (resit) 29.07., 10:00-12:00
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general: ,
Elementary Probability Theory I (BSc21, MEB21, MEdual24)
Elementary Probabilty Theory (2HfB21, MEH21)
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general:
Compulsory Elective in Mathematics (BSc21)
Di, 10-12h, SR 125, Ernst-Zermelo-Str. 1
Teacher: Thorsten Schmidt
Assistant: Lars Niemann
Compulsory Elective in Mathematics (BSc21)
Supplementary Module in Mathematics (MEd18)
Fr, 13-14h, HS II, Albertstr. 23b
Teacher: Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, HS II, Albertstr. 23b
Teacher: Harald Binder, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt, Jens Timmer
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general:
Compulsory Elective in Mathematics (BSc21)
Mo, 12-14h, , online
Teacher: Thorsten Schmidt
Assistant: Lars Niemann
Supplementary Module in Mathematics (MEd18)
Compulsory Elective in Mathematics (BSc21)
Fr, 13-14h, -, -
Teacher: Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, -, -
Teacher: Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt
Lecture: Mo, Do, 10-12h, genauere Informationen zum Ablauf durch Dozenten nach Belegung in HISinOne, -
Teacher: Thorsten Schmidt
Assistant: Lars Niemann, Moritz Ritter
general:
Compulsory Elective in Mathematics (BSc21)
Mathematical Concentration (MEd18, MEH21)
Lecture: Mi, Mo, 12-14h, , online
Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
general:
Mathematical Concentration (MEd18, MEH21)
Compulsory Elective in Mathematics (BSc21)
Fr, 13-14h, , online
Teacher: Peter Pfaffelhuber, Philipp Harms, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, , online
Teacher: Harald Binder, Philipp Harms, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt, Jens Timmer
Lecture: Mo, Mi, 12-14h, HS II, Albertstr. 23b
Sit-in exam (resit) 28.10., 10:00-00:00
Teacher: Thorsten Schmidt
Assistant: Marc Weber
general:
Compulsory Elective in Mathematics (BSc21)
Pure Mathematics (MSc14)
Applied Mathematics (MSc14)
Mathematical Concentration (MEd18, MEH21)
Lecture: Mo, 14-16h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Thorsten Schmidt
Assistant: Lars Niemann
general:
Compulsory Elective in Mathematics (BSc21)
Fr, 13-14h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Philipp Harms, Angelika Rohde, Thorsten Schmidt, Peter Pfaffelhuber
Fr, 12-13h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Harald Binder, Philipp Harms, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt, Jens Timmer
Lecture: Mo, Mi, 12-14h, HS Weismann-Haus, Albertstr. 21a
11.03., 10:00-12:00
Sit-in exam (resit) 08.06., 12:00-15:00
Teacher: Thorsten Schmidt
Assistant: Marc Weber, Tolulope Fadina
general:
Compulsory Elective in Mathematics (BSc21)
Mathematical Concentration (MEd18, MEH21)
Applied Mathematics (MSc14)
Fr, 13-14h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Philipp Harms, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt
Fr, 12-13h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Harald Binder, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt, Jens Timmer, Philipp Harms
Lecture: Mo, 14-16h, HS Rundbau, Albertstr. 21
09.09., 12:00-15:00
Sit-in exam (resit) 14.10., 10:00-13:00
Teacher: Thorsten Schmidt
Assistant: Marc Weber
general: , ,
Elementary Probabilty Theory (2HfB21, MEH21)
Teacher: Philipp Harms, Angelika Rohde, Thorsten Schmidt
Compulsory Elective in Mathematics (BSc21)
Mi, 14-16h, SR 125, Ernst-Zermelo-Str. 1
Teacher: Thorsten Schmidt
Assistant: Marc Weber
Compulsory Elective in Mathematics (BSc21)
Fr, 13-14h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Angelika Rohde, Thorsten Schmidt
Lecture: Mo, 14-16h, HS Weismann-Haus, Albertstr. 21a
Teacher: Thorsten Schmidt
Assistant: Wahid Khosrawi
general: , ,
Elementary Probabilty Theory (2HfB21, MEH21)
Fr, 13-14h, SR 404, Ernst-Zermelo-Str. 1
Teacher: Philipp Harms, Peter Pfaffelhuber, Angelika Rohde, Thorsten Schmidt