Subject: Mathematical Statistics (17.ESI120 )
Native organizations units: No data
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Undergraduate Academic Studies | Power Software Engineering (Godina: 2, Summer) |
Educational goal:
Ability of abstract thinking and acquiring basic knowledge in the area of probability and statistics and stochastic processes
Educational outcome:
Student is competent to design and solve mathematical models in the field of probability and statistics in further education and professional courses.
Course content:
Basic definitions in probability, conditional probability and Bayes’ formula. Random variable of discrete and continuous type, distribution functions. Two dimensional random variable. Numeric characteristics – expectation, dispersion, covariance, correlation. Limit theorems. Population, sample. Sampling techniques. Descriptive statistics, point estimate and interval estimate. Parametric and nonparametric hypotheses and significance testing. Statistical inference. Regression analysis, linear, nonlinear and logistic regression. Statistical data visualization, graphing data. Statistical models (queuing theory, Monte Carlo modeling).
Teaching methods:
Lectures; Numerical computing practice. Consultations. Lectures are combined. In lectures, theoretical part of the course is followed by typical examples for better understanding. In practice, which accompanies lectures, typical problems are solved and knowledge from the lectures is deepened. Besides lectures and practice, consultations are held on a regular basis. Part of the course, presenting a logical whole, can be passed during the teaching process in the form of the following 2 modules (the first module: probability, the second module: statistics. The oral part of the examination is not obligatory.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| Grupa autora | Zbirka rešenih zadataka iz statistike | 2005 | CMS, Novi Sad | Serbian language |
| Stojaković, M. | Matematička statistika | 2008 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Test | Yes | Yes | 40.00 |
| Written part of the exam - tasks and theory | No | Yes | 60.00 |
Lecturers:
doc. dr Ovcin Zoran
Assistant Professor
Lectures
prof. dr Mihailović Biljana
Full Professor
Lectures
doc. Bajić Papuga Buda
Assistant Professor
Practical classes
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.