19E082VS - Probability and Statistics

Course specification
Course title		Probability and Statistics
Acronym		19E082VS
Study programme		Electrical Engineering and Computing
Module		Information and Communication Technologies, Physical Electronics - Biomedical and Nuclear Engineering, Physical Electronics - Nanoelectronics and Photonics, Telecommunications and Information Technologies
Type of study		bachelor academic studies
Lecturer (for classes)		asst. professor PhD Bojana Mihailović asst. professor PhD Milica Karapetrović
Lecturer/Associate (for practice)		asst. professor PhD Bojana Mihailović asst. professor PhD Milica Karapetrović
Lecturer/Associate (for OTC)		asst. professor PhD Bojana Mihailović asst. professor PhD Milica Karapetrović
ESPB		6.0	Status	elective
Condition
The goal		- Introducing students to basics of Probability and Statistics - Enabling students to apply tools and methods of statistics and probability.
The outcome		A student will be familiar with basic and moderately complex discrete and continuous stochastic models. He/she will be able to apply correct models in real life problems, and to performe related parameter estimation and testing hypotheses.
Contents
Contents of lectures		Introduction and combinatorics. Conditional probability, Bayesian formula. Random variables and random vectors.. Numerical characteristics. Characteristic functions. Limit theorems. Parameter estimation. Hypotheses testing. Conditional distributions. Random numbers and distributions. Monte Carlo methods.
Contents of exercises		Exercises with example and problem solving.
Literature
Milan Merkle: Probability and Statistics for engineers and students of engineering, Academic Mind, Belgrade 2020 Walpole, Myers, Myers, Ye: Probability and Statistics for Engineers and Scientists (9th Edition) , Pearson, 2016 (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
Methods of teaching		30 hours of theoretical lecturing, 30 hours of exercises, 15 hours of discussion related to homework.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	50
Practical lessons		0	Oral examination	0
Projects
Colloquia		30
Seminars		20