Faculty of Technical Sciences

Subject: Business Intelligence (17.IMS461)

Native organizations units: No data
General information:
 
Category Professional-applicative
Scientific or art field Information-Communication Systems
Interdisciplinary No
ECTS 5
Educational goal:

The goal of this course is to introduce students to the specific methods and techniques that are used in the business intelligence domain: data gathering, analysis and transfer from the source systems to the data warehouse, as well as data visualization and presentation to business users for use in organizational planning, decision-making and operational activities.

Educational outcome:

Students will use the acquired knowledge in their professional work and further professional development. Students will gain knowledge on how to run the process of collection, analysis and transfer of data and information necessary to the formulation and implementation of specific strategies and decision-making processes in the company.

Course content:

Data collection concepts; Integration of data from different sources into a data warehouse; ETL process; Tools for business reporting and data presentation to business users; Self-service BI tools; Identifying trends and patterns present in the data

Teaching methods:

Lectures, computer labs, practical examples, case study.

Literature:
Authors Title Year Publisher Language
Milija Suknović, Boris Delibašić Poslovna inteligencija i sistemi za podršku odlučivanju 2010 Fakultet organizacionih nauka Serbian language
Ralph Kimball, Margy Ross The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling 2013 John Wiley & Sons inc. Serbian language
Said, A., Torra, V. Data Science in Practice (Studies in Big Data) 2018 Springer English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Written part of the exam - tasks and theory No Yes 70.00
Project Yes Yes 30.00
Lecturers:
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Asistent Antanasijević Dajana

Assistant - Master

Computational classes
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prof. dr Mirković Milan

Full Professor

Computational classes
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prof. dr Mirković Milan

Full Professor

Lectures

Faculty of Technical Sciences

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Contact:

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Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.