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Course

Business Intelligence

Elective5 ECTSSemester 345 h teachingTaught in Croatian

Course description

The course description is available in Croatian only.

  • Uvod u poslovnu inteligenciju
  • Priroda, umjetna i poslovna inteligencija BI analitičke tehnike
  • Osnovna svojstva skladišta podataka
  • Oblikovanje skladišta podataka ETL procesi
  • Kvaliteta podataka
  • Kolokvij I OLAP sustavi
  • Ekosustav velikih podataka
  • Rudarenje podataka
  • Umjetna inteligencija
  • Ekspertni sustavi i sustavi znanja
  • Poslovna primjena PI Kolokvij II

When and where

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Learning outcomes

  1. design an analytical business intelligence solution
  2. identify analytical techniques of business and artificial intelligence
  3. construct an analytical business intelligence solution
  4. propose a conceptual solution for an expert system
  5. identify the elements of the OLAP system architecture
  6. present concepts of knowledge management systems
  7. determine the concepts of big data systems
  8. design the application of advanced methods of data science

Reading list

Required reading

  • Bentley, Drew (ur): Business Intelligence and Analytics, Library Press, New York, 2017.
    Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo: Guide to Intelligent Data Science, Second edition, Springer, 2020.

Course coordinators 1

Teaching staff 1

Exam dates

Exam dates for this academic year are not published yet. Last year's dates:

within 10 days within 30 days later past
Source: ISVU. Click a date to open Studomat and register; check it for changes too.