Course ID 16SA91
  • Applied Informatics
Number of classes 3+2
Semester 5
Status Optional
The main objective of the course is to familiarize students with the decision-making process and modern information and communication technology tools (ICTs) that enable individual and group decision making to be carried out faster and more efficiently.
Students will be able to choose and use the products of information and communication technologies (ICTs) that are ideally suited to solve a particular problem in situations when they make a decision.
Theoretical training
• Decision making and decision-making models
• Statistical tools for modeling and analysis
• Decision support systems (DSS)
• The emergence and development of business intelligence tools
• Data Warehouse
• Data mining
• OLAP (online analytical processing)
• Group decision support systems

Practical training
Case study analyses.
Turban E., Sharda R., Delen D. (2010), Decision Support and Business Intelligence Systems, 9/E, Prentice Hall
Miller L. (2009), MIS Cases: Decision Making with Application Software, 4/E, Prentice Hall
Lectures, using modern audio-visual equipment and active participation of students. Practice classes involve: analysis of the content taught, practical work on computer in small groups and practical application of knowledge, seminar papers, case studies.
Assessment (maximum number of points – 100)
Exam Requirements  55 points Final exam 45 points
Attendance 5 Written exam 20
Ongoing assessment 30 Oral exam 25
Class participation 10  
Case  study 10    

Practice classes