- Predavatelj: Mitjan Kalin
- Asistent: Muhammad Shahid Arshad
- Asistent: Prashant Gangwani
- Asistent: Pedro Martins Ferreira
- Asistent: Irfan Nadeem
- Asistent: Marko Polajnar
- Asistent: Shoaib Naseem Muhammad Siddiqui
- Predavatelj: Mitjan Kalin
- Asistent: Muhammad Shahid Arshad
- Asistent: Karim Hamouda
- Asistent: Petra Jan
- Asistent: Urban Klanjšček
- Asistent: Marko Polajnar
- Asistent: Shoaib Naseem Muhammad Siddiqui
- Predavatelj: Mitjan Kalin
- Asistent: Muhammad Shahid Arshad
- Asistent: Prashant Gangwani
- Asistent: Pedro Martins Ferreira
- Asistent: Irfan Nadeem
- Asistent: Marko Polajnar
- Asistent: Shoaib Naseem Muhammad Siddiqui
- Predavatelj: Mitjan Kalin
- Predavatelj: Marko Polajnar
- Asistent: Muhammad Shahid Arshad
- Asistent: Pedro Martins Ferreira
- Asistent: Irfan Nadeem
- Predavatelj: Mitjan Kalin
- Predavatelj: Marko Polajnar
- Asistent: Muhammad Shahid Arshad
- Asistent: Urban Klanjšček
- Asistent: Urša Šolinc
Course description
- Introduction
- Experiment and events
- Probability
- Random variables and probability distributions
- Function of random variable
- Statistical averages
- Statistics introduction
- Point estimators
- Hypothesis testing
- ANOVA
- Function estimators
- Stochastic processes
- Stochastic process characterization
- D. C. Montgomery and G. C. Runger: Applied Statistics and Probability for Engineers, Wiley, New York, 1994.
- J. S. Bendat and A. G. Piersol: Random Data: Analysis and Measurement Procedures, Wiley, New York, 2010.
- W. B. Davenport, Jr.: Probability and Random Processes: An Introduction for Applied Scientists and Engineers, McGraw-Hill, New York, 1970.
- I. Grabec and W. Sachse: Synergetics of Measurement, Prediction and Control, Springer, Berlin, 1997.
- Professor: Edvard Govekar
- Assistant: Andrej Jeromen