[ 289MANGWSPK20 ] KV Probability Theory and Stochastic Processes

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 (ELIT) 2023W
  • 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
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