Subject: Probability and mathematical statistics (17.BM105B )
Native organizations units: No data
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Undergraduate Academic Studies | Biomedical Engineering (Godina: 3, Winter) |
Educational goal:
The course objective is training students on abstract thinking and acquiring basic knowledge in the field of probability and statistics. 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.
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 and statistics.
Course content:
Basic definitions in probability, conditional probability and Bayes’ formula. Random variable of discrete and continuous type. Two dimensional random variable. Conditional distribution. Numeric characteristics – expectation, dispersion, covariance, correlation. Conditional expectation. Limit theorems. Statistics –general notions. Descriptive statistic analysis (basic notions, data arrangement, table and graphic data presentation, data analysis using descriptive statistic methods, programme support for statistic analysis). Evaluation of unknown parameters (Dot evaluation: momentum method and maximal credibility method).Stochastic processes – general notions.
Teaching methods:
Lectures, Numerical calculation practice and computer practice . 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 |
|---|---|---|---|---|
| Grbić, T., Nedović, Lj. | Zbirka odabranih rešenih ispitnih zadataka iz verovatnoće, statistike i slučajnih procesa | 2016 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Mališić, J., Jevremović, V. | Slučajni procesi i vremenske serije | 2008 | Građevinska knjiga, Beograd | Serbian language |
| Grupa autora | Zbirka rešenih zadataka iz verovatnoće i statistike | 2014 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Stojaković, M. | Slučajni procesi | 2000 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Laboratory exercise defence | Yes | Yes | 10.00 |
| Oral part of the exam | No | Yes | 10.00 |
| Written part of the exam - tasks and theory | No | Yes | 60.00 |
| Test | Yes | Yes | 10.00 |
| Test | Yes | Yes | 10.00 |
Lecturers:
Asistent Dragić Đorđe
Assistant - Master
Computational classes
Asistent Dragić Đorđe
Assistant - Master
Practical classes
prof. dr Grbić Tatjana
Full Professor
Lectures
doc. dr Delić Marija
Assistant Professor
Computational classes
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.