|
Šifra:
|
34285
|
|
ECTS:
|
4
|
Lecturers in charge:
|
Prof. dr. sc.
Bojana Dalbelo-Bašić
Doc. dr. sc.
Jan Šnajder
|
Lecturers:
|
Dr. sc.
Marko Čupić - Lectures
mag. ing. comp.
Goran Glavaš - Laboratory exercises
dipl. ing.
Artur Šilić - Laboratory exercises
|
Take exam:
|
Studomat
|
English level:
1,1,1
|
All teaching activities in the course will be held on English. This level includes courses with multiple groups (i.e., all teaching will be held strictly in Croatian for Croatian groups, and strictly in English for English groups).
|
|
Load:
|
| Lecture type | Total |
| Lectures |
45 |
| Laboratory exercises |
15 |
* Load is given in academic hour (1 academic hour = 45 minutes)
|
Description:
|
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.
|
Literature:
|
- 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
|
Prerequisit for:
|
Enrollment:
Passed:
Algorithms and Data Structures
Passed:
Probability and Statistics
|
|
6. semester
|
Mandatory
-
module
Computer Science
Izborni predmeti
-
module
Software Engineering
|
|
