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250076 VO Measure and integration theory (2020W)
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Examination dates
- Wednesday 10.02.2021
- Friday 12.02.2021
- Thursday 18.03.2021
- Tuesday 23.03.2021
- Tuesday 20.04.2021
- Wednesday 19.05.2021
- Friday 28.05.2021
- Tuesday 08.06.2021
- Thursday 09.09.2021
- Friday 10.09.2021
- Thursday 16.09.2021
- Monday 11.10.2021
- Thursday 04.11.2021
- Thursday 24.02.2022
- Wednesday 25.05.2022
- Tuesday 27.09.2022
- Tuesday 06.12.2022
- Thursday 29.06.2023
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 01.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 07.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 08.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 14.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 15.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 21.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 22.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 28.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 29.10. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 04.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 05.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 11.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 12.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 18.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 19.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 25.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 26.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 02.12. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 03.12. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 09.12. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 10.12. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 16.12. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 17.12. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 07.01. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 13.01. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 14.01. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 20.01. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 21.01. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 27.01. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 28.01. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
The theory of measure and integration belongs to the foundations of modern analysis, and provides the formal framework for probability theory. This course introduces its central concepts and results (discussing in particular: existence, uniqueness, basic properties, and examples of measures; the abstract Lebesgue integral, convergence theorems, and spaces of integrable functions; product measures; measures with densities; applications to real analysis), and offers brief appetizers for some more advanced topics.
Assessment and permitted materials
oral exam (possibly online)
Minimum requirements and assessment criteria
Thorough understanding and a working knowledge of the core part of the material presented in the lectures is required for passing the exam.
Examination topics
the material presented in the lectures; a more detailed description of what exactly is expected in the exam will be made available during the lectures
Reading list
details will be discussed during the lectures
Association in the course directory
MSTM
Last modified: Fr 30.06.2023 00:20