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VJEŠTAČKA INTELIGENCIJA


Semester: 5
ECTS: 5
Status: Obavezan
Lessons: 3+2+0
Double: Ne
ECTS catalogue
Learning outcomes:

At the end of the course, the participant is expected to be able to: 1. Describe the role og propositional logic and first order logic in logic programming [Usage] 2. Implements simple Prolog and Lisp programs and explain how complex programs work [Usage] 3. Formulate an efficient problem space for a problem expressed in natural language and formulate a problem as a search problem [Usage] 4. Compare and contrast the basic techniques for representing uncertainty and inference algorithms [Assessment] 5. Identify the similarities and differences among various machine learning algorithms [Usage] 6. Integrate the artificial intelligence techniques in the software [Usage]

Teaching staff

Name Lectures Exercises Laboratory
NIKOLA PIŽURICA2x1
12B+15S+16P
SAVO TOMOVIĆ3x1
12B+15S+16P

New announcement - 21.01.2025 14:24

New announcement - 10.01.2025 17:02

New announcement - 04.12.2024 01:27

New announcement - 14.11.2024 19:33

New announcement - 10.11.2024 00:42

New announcement - 01.11.2024 22:16

New announcement - 10.11.2023 19:17

New announcement - 01.11.2023 22:30

New announcement - 01.11.2023 22:29

New announcement - 18.10.2023 22:47

New announcement - 12.10.2023 21:26

Datasets

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