Semester: 2
ECTS: 6
Status: Obavezan
Lessons: 3+1+0
Double: Da
ECTS catalogue
Learning outcomes:

After passing this exam, a student will be able to: 1. Explain the concept, characteristics and classification of artificial intelligence, and the concept and architecture of expert systems. 2. Explain and illustrate concepts of knowledge representation and knowledge base and the inference module. 3. Define searching problems, understand the classification to the blind and informed search algorithms, and apply this kind of algorithms to solve given problems. 4. Implement simple local searching algorithms and iterative improvement of solutions. 5. Define and implement all the steps in the development of expert systems. 6. Create expert system using a programming language CLIPS/JESS.

Teaching staff

Name Lectures Exercises Laboratory
DANILO PLANINIĆ
VESNA POPOVIĆ-BUGARIN

New announcement - 29.08.2022 15:04

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New announcement - 30.08.2021 19:47

New announcement - 26.06.2021 17:13

New announcement - 13.04.2018 12:55

New announcement - 08.04.2020 15:26

New announcement - 14.03.2018 12:36

New announcement - 02.03.2018 15:29

New announcement - 23.02.2018 11:45

New announcement - 14.02.2018 14:18