Study guide of JKU Linz
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KUSSS
Auwea NG
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Technical Mathematics
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Electives
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c. Probability theory and mathematical statistics
Inhalt
[
201WTMSSTPU22
]
UE
Stochastic Processes
Versionsauswahl
Version
2023W
2022W
2012W
Es ist eine neuere Version
2023W
dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
1,5 ECTS
B3 - Bachelor's programme 3. year
Mathematics
Evelyn Buckwar
1 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Bachelor's programme Technical Mathematics 2022W
Objectives
Support to achieve the goals of the corresponding course.
Subject
Introduction to stochastic processes, conditional expectation, Markov Chains, Poisson process, Wiener process, martingales.
Criteria for evaluation
Presentation of exercises.
Language
English and French
Changing subject?
No
Further information
Until term 2022S known as: TM1WCUEPROZ UE Stochastic processes
Earlier variants
They also cover the requirements of the curriculum (from - to)
TM1WCUEPROZ: UE Stochastic processes (2001W-2022S)
On-site course
Maximum number of participants
25
Assignment procedure
Direct assignment
