Faculty of Technical Sciences

Subject: Mathematics 4 (17.MR0MA4)

General information:
 
Category Theoretical-methodological
Scientific or art field Teorijska i primenjena matematika
ECTS 6

Ability of abstract thinking and acquiring basic knowledge in the area of probability, statistics and stochastic processes.

In their further education and professional subjects students are competent to develop and solve mathematical models in the area of probability, statistics and stochastic processes.

Probability: 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. Limit theorems. Stochastic processes: Basic definitions and l notions. Poisson processes, Gaussian processesl, Markov chains and processes, birth-death process, qeueing theory. Statistics – point estimate and interval estimate, parametric and nonparametric hypotheses and significance testing.

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. Parts of the course which form a logical unit can be taken during the course in the form of partial exams: probability theory, stochastic processes, statistics.

Authors Title Year Publisher Language
Course activity Pre-examination Obligations Number of points
Test Yes Yes 45.00
Oral part of the exam No No 10.00
Written part of the exam - tasks and theory No Yes 55.00
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Prof. Mihailović Biljana

Full Professor

Lectures
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Asst. Prof. Duraković Nataša

Assistant Professor

Practical classes

Teaching Associate Kalaba Marina

Teaching Associate

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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

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

© 2024. Faculty of Technical Sciences.