Faculty of Technical Sciences

Subject: Statistical Inference in Engineering (17.D0M27Z)

Native organizations units: No data
General information:
 
Category Scientific-professional
Scientific or art field Teorijska i primenjena matematika
Interdisciplinary Yes
ECTS 10
Educational goal:

Students are able to postulate and solve mathematical models using statistical methods applied in engineering in their further education and engineering subjects.

Educational outcome:

. Students are able to postulate and solve mathematical models using statistical methods applied in engineering in their further education and engineering subjects,

Course content:

Application of statistical packages : Statistica, Exel, Mathematica , MathStatica, SPSS, MATLAB. Part of the course is carried out through individual study and research work in the field of mathematics. The study and research work involves active study of primary scientific sources, organization and conduction of experiments and statistical data analysis, numerical simulations, and possibly writing a paper in the filed of mathematics

Teaching methods:

Lectures. Consultations. The presentation of the theoretical part during the lecture classes is followed by the characteristic examples which contribute to better understanding of the subject matter. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.

Literature:
Authors Title Year Publisher Language
Jay Devore Probability and statistics for engineering and sciences 1987 BrooksCole Publ.Co. English
J.P.Marques de Sa Applied statistics using SPSS,Statistica and MATLAB 2005 Springer English
Colin Rose, Murray Smith Mathematical statistics with MATHEMATICA 2002 Springer English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 50.00
Term paper Yes Yes 50.00
Lecturers:

doc. Ilić Vladimir

Assistant Professor

Lectures
API Image

doc. dr Ovcin Zoran

Assistant Professor

Lectures
API Image

doc. dr Ovcin Zoran

Assistant Professor

Study research work

doc. Ilić Vladimir

Assistant Professor

Study research work

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.