Subject: Statistical Advanced Models (06 - ZR503)


Basic Information

CategoryTheoretical-methodological
Scientific or art field:Mathematical Sciences
InterdisciplinaryNo
ECTS4
Native organizations units

Department of Fundamentals Sciences
Course specification

Course is active from 01.10.2009..

Enabling students for abstract thinking and acquisition of basic knowledge in statistical modeling and its application. The course objective is to develop special way of thinking while studying mass phenomenon in the field of environemtnal engineering. The course character is applicable, so the special emphasis is placed on the knowledge which can clarify quantitative approach to the problems in the field of study. The objective is to enable students for the selection of adequate statistical model and its processing. Students are also able to use statistical packages.
The student is able to make and solve statistical models in further education and work, and to apply acquired knowledge in other courses and in the problems in the practice.
Numerical characteristics of the sample and population. Confidence interval. Hypothesis testing . Multisample estimation and hypothesis testing.Nonparametric techniques. Regression and correlation .
Lectures, numerical computing practice and computer practice. Consultations. Lectures are combined. Lectures consist of the theoretical part of the course and typical examples which serve for better understanding of the theory are presented. Practice accompanies lectures and corresponding problems are solved. In the computer practice, students solve the given problems by using statistical packages. Besides lectures and practice, consultations are held on the regular basis. Oral part of the examination is eliminatory.
AuthorsNameYearPublisherLanguage
Stevan HadživukovićStatistikaX Privredni pregledSerbian language
Stevan HadživukovićTehnika metoda uzorkaX Naučna knjigaSerbian language
Emilija Nikolić-Đorić, Katarina ČobanovićRešeni primeri i zadaci za vežbu iz statističkih metodaX Poljoprivredni fakultetSerbian language
Svetozar VukadinovićElementi teorije verovatnoće i matematičke statistikeX Privredni pregledSerbian language
Course activity Pre-examination ObligationsNumber of points
Complex exercisesYesYes15.00
TestYesYes10.00
TestYesYes10.00
TestYesYes10.00
Exercise attendanceYesYes3.00
Final exam - part oneNoNo50.00
Final exam - part twoNoNo50.00
Written part of the exam - tasks and theoryNoYes50.00
Lecture attendanceYesYes2.00
Name and surnameForm of classes
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Mihailović Biljana
Associate Professor

Lectures
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Kovačević Ilija

Lectures
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Medić Slavica
Assistant Professor

Lectures
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Ilić Vladimir

Practical classes
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Grujić Gabrijela
Skill Lecturer

Practical classes
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Ovcin Zoran
Assistant Professor

Computational classes
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Ilić Vladimir

Computational classes
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Stratijev Jelena
Assistant - Master

Computational classes