Course: Business Intelligence

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Course title Business Intelligence
Course code USII/KBI
Organizational form of instruction Lecture
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 7
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Petr Pavel, doc. Ing. Ph.D.
  • Křupka Jiří, doc. Ing. PhD.
Course content
Time series analysis. Decision-making. Multi-criteria decision methods. Risk decision-making. Statistical and non-statistical decision-making approaches. Introduction to decision support systems (DSS). System approach to decision-making (reality - system - model - decision). Decision support technologies. Methodology, technical components and DSS design. DSS modelling. New trends.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Methods of individual activities
Learning outcomes
Aim of the subject is to provide students with the knowledge of decision-making processes and technologies.
Students will be aware of the decision-making issues, they will be able to explain the basis of decision-making in individual circumstances. They will be able to solve decision-making tasks using decision-making support tools. They will be familiar with the basic structure of these systems and the role of each component.
Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Work-related product analysis, Creative work analysis

Assignment is conditional to completion of set tasks with the success rate of each task of at least 60 % (ie. grade 3), and submission of a completed seminar project as set. The examination will be written and oral, students are required to present and defend the final project on a given topic related to the course. Grading is based on 40 % continuous seminar grade, 60 % final project presentation and defence, a written test and successfully answering examiner´s questions.
Recommended literature
  • User's manual and a online tutorial of ECON6.
  • User's manual of MEDIA.
  • User's manual of MERIT.
  • Berthold, M., Hand, D. J. Intelligent Data Analysis, Springer-Verlag. New York, 2003. ISBN 3-540-43060-1.
  • Gass, S. I., Harris, C. M. Encyclopedia of Operations Research and Management Science - centennial edition, druhé vydání, Dodrecht: Kluwer AP, 2004. 2004. ISBN 0-7923-7827-X.
  • Mallach, Efrem G. Decision support and data warehouse systems. Boston: McGraw-Hill Irwin, 2000. ISBN 0-07-289981-6.
  • Ragsdale, Cliff T. Spreadsheet modeling & decision analysis : a practical introduction to management science. Mason: South-Western, 2004. ISBN 0-324-20305-5.
  • Turban, Efraim. Decision support and business inteligence systems. Upper Saddle River: Pearson Prentice Hall, 2007. ISBN 0-13-198660-0.
  • Turban, Efraim. Decision support systems and intelligent systems. New Jersey: Prentice Hall, 1998. ISBN 0-13-740937-0.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics and Administration Study plan (Version): Regional and Information Management (2014) Category: Economy 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Economics and Administration Study plan (Version): Informatics in Public Administration (2013) Category: Economy 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Economics and Administration Study plan (Version): Regional and Information Management (2013) Category: Economy 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Economics and Administration Study plan (Version): Informatics in Public Administration (2014) Category: Economy 2 Recommended year of study:2, Recommended semester: Winter