[ 289MANGWSPK20 ] KV Probability Theory and Stochastic Processes

Es ist eine neuere Version 2023W dieser LV im Curriculum Bachelor's programme Medical Engineering 2023W vorhanden.
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 2020W
  • 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
  • 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
Further information Until term 2016S known as: IEMPBKVSTPR KV Stochastic Processes
until term 2020S known as: 289MATHWSPK16 KV Probability Theory and Stochastic Processes
Earlier variants They also cover the requirements of the curriculum (from - to)
289MATHWSPK16: KV Probability Theory and Stochastic processes (2016W-2020S)
IEMPBKVSTPR: KV Stochastic processes (2011W-2016S)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment