The objective of the course is for the student to develop their knowledge and skills in Business Intelligence. After passing the course, the student should be able to:

[1].   Explain and use the concepts in business intelligence

[2].  Describe the business intelligence evolution and components

[3].  Explain how decisions are made in organizations

[4].  Evaluate a business intelligence system

[5].  Analyze and reflect on the relationship between its components, current and future

[6]. Plan how to manage a business intelligence project

The course is an introduction to the multidisciplinary field of data science. The focus of the course is on organizational decision making and how they should be supported, while doing so the course takes into account various viewpoints and paradigms. The course covers a wide spectrum of topics such as: data warehousing, big data, type of data, type of decisions, and how to manage a business intelligence project.

Lectures, labs, assignments, case studies and/or project work. Laboratory work requires access to very high computational capacity. During the course, the students work with individual tasks and/or group work. Some assignments or case studies in the course might contain work in contact with or about the industry. The student uses different methods and techniques, and it is important to choose the right method, technique or computer support for each task. Before and after the tasks are solved, there are lectures to present and discuss different solutions. 

Through individuals tests, as well as individual and group/project assignments, different student abilities are examined. Those are: the ability to explain and use business intelligence tools and frameworks and the ability to address business problems using business intelligence individually and in groups.

Technical Requirements: access to PC with Windows XP, microphone, Web cam and permission to install software. Internet connection (minimum 0,5 Mbps).