Faculty of Technical Sciences

Subject: Statistics in Information Engineering (17.IFE255)

Native organizations units: Chair of Mathematics, Chair of Applied Computer Science
General information:
 
Category Theoretical-methodological
Scientific or art field
  • Information-Communication Systems
  • Teorijska i primenjena matematika
ECTS 6

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
Coloquium exam No Yes 25.00
Practical part of the exam - tasks No No 50.00
Oral part of the exam No Yes 15.00
Test Yes Yes 15.00
Coloquium exam No Yes 25.00
Exercise attendance Yes Yes 5.00
API Image

Assoc. Prof. Ivetić Jelena

Associate Professor

Lectures

Asst. Prof. Ilić Vladimir

Assistant Professor

Lectures

Asistent sa doktoratom Đokić Jelena

Assistant with PhD

Practical classes

Assoc. Prof. Ivančević Vladimir

Associate Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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.