[ 289MATHWSPK16 ] KV Probability Theory and Stochastic processes



Es ist eine neuere Version 2019W dieser LV im Curriculum Master's programme Mechatronics 2019W 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 Information Electronics 2015W 
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)




Onsite course 
Maximum number of participants 
30 
Assignment procedure 
Direct assignment 
