Faculty of Technical Sciences

Subject: Stochastic Processes (17.D0M04Z)

Native organizations units: No data
General information:
 
Category Scientific-professional
Scientific or art field Teorijska i primenjena matematika
Interdisciplinary Yes
ECTS 10
Educational goal:

Acquiring the ability of abstract thinking and fundamental knowledge about random processes. The aim is to apply Stochastic processes theory to solve different problems in engineering

Educational outcome:

Students are able to postulate and solve mathematical models in random processes in their further education in engineering subjects.

Course content:

Depending on the chosen area of applied mathematics in engineering, some of the random processes classes will be covered in detailed: Stationary processes, Markov processes, counting processes, Gauss processes, diffusion processes, martingale, complex processes, Reversible processes, Decision-making processes, branching processes, Brown movement. Part of the teaching is realized through independent research and study work in the field of mathematics. Research and study work includes active following of primary scientific sources, organization and conducting experiments and statistical data processing, numeric simulation, possible writing of scientific paper in the field of mathematics.

Teaching methods:

Lectures, Consultations. The presentation of the theoretical part is followed by the corresponding examples for easier understanding of subject content. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. In cooperation with professors, student is enabled to independently write scientific paper.

Literature:
Authors Title Year Publisher Language
Papoulis, A. Probability, random variables, stochastic processes 2002 McGraw Hill English
Sheldon Ross Probability models 1997 Academic Press English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Term paper Yes Yes 50.00
Oral part of the exam No Yes 50.00
Lecturers:
API Image

vanr. prof. dr Nedović Ljubo

Associate Professor

Lectures
API Image

vanr. prof. dr Nedović Ljubo

Associate Professor

Study research work

Faculty of Technical Sciences

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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.