Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Statistics in Information Engineering (17.IFE255)

Native organizations units: Chair of Mathematics, Chair of Applied Computer Science

Type of studies	Title
Master Academic Studies	Information Engineering (Godina: 1, Summer)
Master Academic Studies	Information and Analytics Engineering (Godina: 1, Summer)

General information:

Category	Theoretical-methodological
Scientific or art field	Teorijska i primenjena matematika
Interdisciplinary	Yes
ECTS	6

Educational goal:

Ability of abstract thinking and acquiring basic knowledge in the area of statistics.

Educational outcome:

Student is competent to design and solve mathematical models in the field of statistics in further education and professional courses.

Course content:

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.

Teaching methods:

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.

Literature:

Authors	Title	Year	Publisher	Language
Grupa autora	Zbirka rešenih zadataka iz statistike	2005	CMS, Novi Sad	Serbian language
Stojaković, M.	Matematička statistika	2003	Fakultet tehničkih nauka, Novi Sad	Serbian language
Peter Dalgaard	Introductory Statistics with R (Statistics and Computing)	2008	Springer	Serbian language

Knowledge evaluation:

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
Test	Yes	Yes	15.00
Oral part of the exam	No	Yes	15.00
Coloquium exam	No	Yes	25.00
Exercise attendance	Yes	Yes	5.00