Course description
The course description is available in Croatian only.
- Poslovni okvir i digitalna ekonomija
- Analitika i izvori podataka
- Donošenje odluka i DSS ( engl, Decision Support System) sustavi
- Metrike u poslovanju
- Metrike u web analitici
- Analiza društvenih mreža
- Big data i poslovni okvir
- Uvod u umjetnu inteligenciju
- Etika u poslovanju s podacima
- Privatnost
- Poslovna inteligencija
- Vizualizacija podataka
- Metode rudarenja podataka
- Poslovne uloge u data science eri
- Tehnologije i interoperabilni okoliši
When and where
The timetable and room occupancy are available after signing in with your TVZ account.
Sign in with TVZ accountLearning outcomes
- Identify data types and analytical methods
- contextualize the issue of data analytics with the contemporary framework of the digital economy
- analyze various business metrics
- perform data processing and apply visualization methods to data
- present and recognize roles in data science and business
- identify the term and the elements of BI
- analyze the trends of big data in relation to the digital economy
Reading list
Required reading
- Goran Klepac, Leo Mršić: "Poslovna inteligencija kroz poslovne slučajeve", TIM press, Lider press, 2006.
Marta Alić, prof. sadržaj predavanja (materijali na lms.tvz.hr)
Course coordinators 1
Teaching staff 2
Exam dates
Exam dates for this academic year are not published yet. Last year's dates:
- 7. 2. 2026.Redovni rokpast
- 13. 2. 2026.Redovni rokpast
- 20. 2. 2026.Redovni rokpast
- 26. 6. 2026.Redovni rokpast
- 3. 7. 2026.Redovni rokpast
- 31. 8. 2026.Redovni rokpast
within 10 days within 30 days later past
Source: ISVU. Click a date to open Studomat and register; check it for changes too.
