Faculty of Technical Sciences

Subject: Probability, statistics and stochastic processes (17.E135)

Native organizations units: Department of Fundamentals Sciences
General information:
 
Category Theoretical-methodological
Scientific or art field Teorijska i primenjena matematika
Interdisciplinary Yes
ECTS 6
Educational goal:

The course objective is training students on abstract thinking and acquiring basic knowledge in the field of probability, statistics and stochastic processes. The aim is for students to master the basic concepts of probability theory, to enable them to choose the appropriate statistical methods, to perform statistical analysis and to interpret the obtained results. The main goal is to enable students to apply theoretical knowledge from the theory of random processes in the field of telecommunications.

Educational outcome:

Student should use the acquired knowledge in further education. The student is qualified to make and solve mathematical models in the further education in professional subjects applying acquired knowledge from probability, statistics and stochastic processes.

Course content:

Basic definitions in probability, conditional probability and Bayes’ formula. Random variable of discrete and continuous type, distribution functions. Two dimensional random variable. Conditional distribution. Numeric characteristics – expectation, dispersion, covariance, correlation. Conditional expectation. Limit theorems. Statistics – point estimate and interval estimate, parametric and nonparametric hypotheses and significance testing. Stochastic processes – general notions. Stochastic process transformation- derivative, integral. Poisson process, white noise, telegraph signal. Markov chains and processes, birth-death process, mass service systems. Stationary process. Mass service systems.

Teaching methods:

Lectures, Numerical calculation practice and computer practice (statistics). Consultations. Lectures are conducted combining theoretical part of the subject matter with characteristic examples which facilitate understanding. During practice classes, which accompany the lectures, some characteristic problem tasks are done and the presented material is discussed in more detail. In addition to the lecture and practice classes there are regular consultations.

Literature:
Authors Title Year Publisher Language
Stojaković, M. Slučajni procesi 2000 Fakultet tehničkih nauka, Novi Sad Serbian language
Grbić, T., Nedović, Lj. Zbirka odabranih rešenih ispitnih zadataka iz verovatnoće, statistike i slučajnih procesa 2016 Fakultet tehničkih nauka, Novi Sad Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Test Yes Yes 10.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Written part of the exam - tasks and theory No Yes 60.00
Oral part of the exam No Yes 10.00
Lecturers:

prof. dr Grbić Tatjana

Full Professor

Lectures
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doc. dr Duraković Nataša

Assistant Professor

Practical classes
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doc. dr Duraković Nataša

Assistant Professor

Laboratory classes

Asistent Blesić Andrija

Assistant - Master

Laboratory classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.