250068 VO Stochastic processes (2023W)
Labels
ON-SITE
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
Friday
02.02.2024
09:45 - 12:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
01.03.2024
13:15 - 15:45
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
04.10.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
06.10.
11:30 - 13:00
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
11.10.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
18.10.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
20.10.
11:30 - 13:00
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
25.10.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
03.11.
11:30 - 13:00
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
08.11.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
15.11.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
17.11.
11:30 - 13:00
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
22.11.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
29.11.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
01.12.
11:30 - 13:00
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
06.12.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
13.12.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
15.12.
11:30 - 13:00
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
10.01.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
17.01.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday
19.01.
11:30 - 13:00
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
24.01.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
31.01.
16:45 - 18:15
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
This course offers an introduction to the theory of random processes, focusing on important basic classes of examples (Markov chains in discrete and continuous time, random walks, branching processes, Poisson processes). Prerequisites are a good understanding of probability theory, analysis and linear algebra.
Assessment and permitted materials
exam
Minimum requirements and assessment criteria
understanding and ability to explain and apply the theory
Examination topics
Good understanding and working knowledge of the topics discussed in the lecture course.
Reading list
Will be specified during the lectures.
Association in the course directory
MBIP; MSTP
Last modified: Fr 01.03.2024 11:46