| Detailed information |
| Original study plan |
Bachelor's programme Electronics and Information Technology 2020W |
| 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 |
| 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)
|
