Business Intelligence Systems
Instructor: Драгољуб Крнета, PhD, Associate Professor
Familiarizing students with concepts of business intelligence. The subject should present the students with a range of tools and techniques for business intelligence. The students need to acquire practical knowledge and skills that will enable them to efficiently use the business data with the goal of making quality business decisions.
| Code : | И2018ИСПИ |
|---|---|
| Status: | E |
| Semestar: | 3th |
| Number of classes per week: | 3+2 |
| ЕECTS: | 6 |
| Teachers: | |
| Prerequisites: | Нема условљености |
| Learning Outcomes (gained knowledge): | Enabling students to learn to make timely decisions in the conditions when it is necessary to analyze a large amount of data, when the decision-making time is limited and when it is necessary to make the right decision. |
| Subject Contents: | Theoretical classes L-01: Decision support systems and business intelligence. L-02: Modeling of decision-making and support to decision-making. L-03: Basics of business intelligence. L-04: Data storage. L-05: Business analytics and data visualization. L-06: Data, text and web mining. L-07: Neural networks in data mining. L-08: Managing enterprise performances. L-09: Group and collaborative systems to support decision-making. L-10: Knowledge management. L-11: Expert systems. L-12: Intelligent systems to support decision-making. L-13: Integration and the future of support to decision-making. L-14: Case study of the business intelligence system 1. L-15: Case study of the business intelligence system 2. Practical classes: Exercises, other forms of classes, study research L-01: SPO. L-02: Support to decision-making. L-03: Introduction to business intelligence. L-04: OLAP cubes. L-05: Analytics and visualization. L-06: Data Mining. L-07: Neural networks. E-08: Key performance indicators. L-09: GSPO. L-10: Knowledge management. L-11: Expert systems. L-12: Intelligent SPO. L-13: Hybrid systems. L-14: Case study 1. L-15: Case study 2. |
| Teaching Methods and Learning Activities: | Lectures, seminar classes and practical exercises. |
| Literature: | Тurban, E., Aronson, EJ., Liang, TP. & Sharda, R. (2007). Decision Support and Business Intelligence Systems (8th Edition). Suknović, M., & Delibašić, V. (2010). Business intelligence and decision support systems. Belgrade: FON. Belgrade. |
| Types of Assessment for the subject: | Colloquium I (0-20 points); Colloquium II (0-20 points); Final exam (0-50 points); Attendance (2point); Class activities (seminar papers, discussions, case studies) (0-8 points) |
| Special Remarks for the subject: |