Inhalt

[ 289MATHWSPK16 ] KV Probability Theory and Stochastic processes

Versionsauswahl
Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B3 - Bachelor's programme 3. year Mathematics Evelyn Buckwar 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Electronics and Information Technology 2019W
Objectives - Introduction to fundamental concepts of probability theory and stochastic processes
- students should have fundamental knowledge of:
* random systems, their properties and characteristic quantities
* methods for characterisiing and treating time discrete and continuous random variables and stochastic processes
Subject - Fundamental notions of probability theory, random variables, distributions and densities
- Properties and characteristic quantities of one and more random variables
- Sequences and series of random variables
- stochastic processes
- Power spectral density
Criteria for evaluation oral and/or Written examination
Methods Lecture with blackboard and slides
Language German
Study material Lecture notes
Changing subject? No
Corresponding lecture (*)IEMPBKVSTPR: KV Stochastische Prozesse (3 ECTS)
Earlier variants They also cover the requirements of the curriculum (from - to)
IEMPBKVSTPR: KV Stochastic processes (2011W-2016S)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment