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ECTS:
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4
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Lecturers in charge:
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Prof. dr. sc.
Bojana Dalbelo-Bašić
Doc. dr. sc.
Jan Šnajder
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Lecturers:
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Dr. sc.
Marko Čupić - Lectures
dipl. ing.
Frane Šarić - Laboratory exercises
dipl. ing.
Artur Šilić - Laboratory exercises
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Take exam:
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Studomat
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English level:
1,1,0
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In agreement with the students enrolled in the course, the lecturer will provide as many teaching elements in English as possible, or in both English and Croatian for mixed groups (i.e., bilingual teaching materials and bilingual exams). Level 2 also includes additional individual consultations with foreign students (as in Level 1) for the teaching elements which will be held in Croatian.
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Load:
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| Lecture type | Total |
| Lectures |
45 |
| Laboratory exercises |
15 |
* Load is given in academic hour (1 academic hour = 45 minutes)
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Description:
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There are many cognitive tasks that are simple for the human, but very difficult for the computer. Artificial intelligence (AI) tries to solve these kind of problems. Traditional approach to AI is based on symbolic knowledge representation and reasoning as symbol manipulation. Biologically inspired connectivistic approach simulates cognitive abilities of the brain. The aim of the course is to introduce different AI approaches and to give an overview AI methods, including methods for knowledge representation, automatic reasoning, problem solving, learning, and optimization.
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Literature:
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- Artificial Intelligence: A Modern Approach; Stuart Russell and Peter Norvig; Prentice Hall, London; 2009; ISBN: 978-0136042594
- Understanding Intelligence; Rolf Pfeifer and Christian Scheier; The MIT Press; 2001; ISBN: 978-0262661256
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Prerequisit for:
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Enrollment:
Passed:
Algorithms and Data Structures
|
|
6. semester
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Full time study
course for
module
Computer Science
Elective
course for
module
Software Engineering
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