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ARTIFICIAL INTELLIGENCE
Code: 34285
ECTS: 4
Lecturers in charge: prof. dr. sc. Bojana Dalbelo-Bašić
izv. prof. dr. sc. Jan Šnajder
Lecturers: doc. dr. sc. Marko Čupić - Lectures

Mladen Karan, mag. ing. comp. - Laboratory exercises
Martin Tutek, mag. ing. - 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 typeTotal
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:
  1. Artificial Intelligence: A Modern Approach; Stuart Russell and Peter Norvig; Prentice Hall, London; 2009; ISBN: 978-0136042594
  2. 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 course - Mandatory module - Computer Science
Izborni predmeti - Mandatory module - Software Engineering and Information Systems
Consultations schedule: