Subject: Introduction to business intelligence systems (17.IZOO56 )
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Undergraduate Academic Studies | Information Systems Engineering (Year: 3, Semester: Summer) |
The goal of the course is to introduce the students to the basic concepts of computer technologies and systems that are used to aid the process of strategic decision making, as well as the principles of data mining, which form the foundation of such systems.
Upon successful completion of the course, students will know the capabilities and limitations of the state-of-the-art business intelligence systems. They will be able to use such systems to aid strategic decision making, efficiently. They will grasp the technologies that form the basis of such systems, the data that is stored in BI systems and information that can be gained through its processing. In addition they will be able to assess the reliability of such information, as well as the forms which it takes.
The course will cover the following areas: basic concepts of business intelligence, management information systems, data bases management systems and data warehouses. Knowledge representations used in data mining, types of data, data acquisition and filtering. Big data visualization, and basic techniques for regression, classification and clustering. Finally, the applications of business intelligence in different domains will be covered. The theoretical instruction will be accompanied by the practical training focused on the use of open-source data mining solution Wakaito Environment for Knowledge Analysis - WEKA.
Lectures and laboratory exercises, test and exam project. The labs will focus on training the students to use the state-of-the-art tools for data mining.
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2009 | English | |||
| 2011 | English |
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Written part of the exam - tasks and theory | No | Yes | 30.00 |
| Test | Yes | Yes | 10.00 |
| Project task | Yes | Yes | 30.00 |
| Oral part of the exam | No | Yes | 20.00 |
| Lecture attendance | Yes | Yes | 5.00 |
| Computer exercise attendance | Yes | Yes | 5.00 |
Prof. Mirković Milan
Full Professor
Lectures
Prof. Ćulibrk Dubravko
Full Professor
Lectures
Assoc. Prof. Mandić Vladimir
Associate Professor
Lectures
Assistant - Master Melović Sandra
Assistant - Master
Computational classes
Assistant - Master Kijanović Sara
Assistant - Master
Computational classes
Faculty of Technical Sciences
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© 2024. Faculty of Technical Sciences.