Subject: Statistics in Information Engineering (17.IFE255 )
Native organizations units: Chair of Mathematics, Chair of Applied Computer Science
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Information Engineering (Year: 1, Semester: Summer) |
| Master Academic Studies | Information and Analytics Engineering (Year: 1, Semester: Summer) |
Ability of abstract thinking and acquiring basic knowledge in the area of statistics.
Student is competent to design and solve mathematical models in the field of statistics in further education and professional courses.
Multisample estimation and hypothesis testing -parametric and nonparametric hypotheses and significance testing. Statistical inference. The analysis of variance – one-way, two-way, design 2k.. Regression analysis, linear, nonlinear and logistic regression. Statistical data visualization, graphing data. Statistical models (queuing theory, Monte Carlo modeling). Statistical software “R”. Techniques for drawing complex plots and diagrams.
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: Multisample estimation and hypothesis testing , the second module: regression). The oral part of the examination is not obligatory.
| Authors | Title | Year | Publisher | Language |
|---|
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Test | Yes | Yes | 15.00 |
| Oral part of the exam | No | Yes | 15.00 |
| Coloquium exam | No | Yes | 25.00 |
| Coloquium exam | No | Yes | 25.00 |
| Exercise attendance | Yes | Yes | 5.00 |
| Practical part of the exam - tasks | No | No | 50.00 |
| Test | Yes | Yes | 15.00 |
Assoc. Prof. Jelena Ivetić
Associate Professor
Lectures
Assoc. Prof. Vladimir Ilić
Associate Professor
Lectures
Asistent sa doktoratom Jelena Đokić
Assistant with PhD
Practical classes
Assoc. Prof. Vladimir Ivančević
Associate 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.