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MODELIRANJE I ANALIZA PODATAKA U AGROBIZNISU


Semester: 2
ECTS: 6
Status: Obavezan
Lessons: 3+2+0
Double: Ne
ECTS catalogue
Learning outcomes:

After the student passes this exam, they will be able to: 1. Understands intelligent methods and their function in data analysis and prediction in agribusiness 2. Evaluates and selects the appropriate intelligent method depending on the type of problem from agribusiness 3. Collects data from various sources and prepares in an appropriate format for analysis 4. Builds models and evaluates them using business intelligence tools 5. Interprets and interprets the obtained results

Teaching staff

Name Lectures Exercises Laboratory
LJILJANA KAŠĆELAN3x1
5B
2x1
5B
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