240161 Wahrscheinlichkeitstheorie III (V) (SoSe 2025)

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The goal of this course is to provide a rigorous introduction to concepts and methods of high-dimensional probability and statistics having numerous applications in data science, machine learning and signal processing.

Requirements for participation, required level

Lineare Algebra I and II, Analysis I-III
Wahrscheinlichkeitstheorie I and II
Funktionalanalysis is helpful, but not mandatory

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

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Subject assignments

Module Course Requirements  
24-M-M3 Mathematics 3 Mathematics 3 - Variante 1 Student information
- Graded examination Student information
24-M-P1 Profilierung 1 Profilierungsvorlesung (mit Übung) - Typ 1 Student information
24-M-P1a Profilierung 1 Teil A Profilierungsvorlesung (mit Übung) - Typ 1 Student information
- Graded examination Student information
24-M-P1b Profilierung 1 Teil B Profilierungsvorlesung (mit Übung) - Typ 1 Student information
- Graded examination Student information
24-M-P2 Profilierung 2 Profilierungsvorlesung (mit Übungen) - Typ 1 Student information
24-M-PWM Profilierung Wirtschaftsmathematik Profilierungsvorlesung (mit Übung) - Typ 1 Student information
- Graded examination Student information
24-M-S2-SO Spezialisierung 2 - Stochastik und Optimierung Masterkurs 2 Stochastik / Optimierung - Variante 1 Student information
24-M-S2-ST Spezialisierung 2 - Stochastik Masterkurs 2 Stochastik - Variante 1 Student information
24-M-SFM Spezialisierung Finanzmathematik Masterkurs Graded examination
Student information
28-M-SMTP Spezialisierung Mathematische und Theoretische Physik Spezialisierungskurs MP-M - Variante 1 Student information
- Graded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

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Address:
SS2025_240161@ekvv.uni-bielefeld.de
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Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, December 6, 2024 
Last update times:
Friday, May 9, 2025 
Last update rooms:
Friday, May 9, 2025 
Type(s) / SWS (hours per week per semester)
lecture (V) / 4
Language
This lecture is taught in english
Department
Faculty of Mathematics
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511250074