Subject

Artificial intelligence

Course Title

Artificial intelligence
Artificial Intelligence

Code

F18L2S030

Study Programme

Computer Science

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

4 / Summer

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

Algorithms and Data Structures

10.

Objectives of the course programme (competences)

The successful student will have in-depth knowledge of the fundamental areas of artificial intelligence, including search, problem-solving, knowledge representation, reasoning, decision-making, planning, and learning, and their applications. They will also be able to design and implement the key problems of intelligent systems of moderate complexity and to evaluate their behavior.

11.

Course content

About artificial intelligence
For intelligent agents
Introduction to Searching
Uninformed search
Informed search
Opposite search
Fulfilling the conditions
Logical Agents and Predicate Calculus
Probabilistic reasoning
Presentation of knowledge
Learning of artificial systems
Neural networks
Genetic algorithms
Communication between agents

12.

Learning methods

Lectures using presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defense of a project assignment and a seminar paper.

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 60 + 15 + 15 + 60 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	60 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	15 hours
16.3.	Home study	60 hours

17.

Assessment method

17.1.	Tests	40 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activities and learning	10 points
17.4.	Final exam	50 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirement for obtaining a signature and taking the final exam

Activities 15.2 and 16.1 completed

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature No. Author Title Publisher Year
22.2.	Additional literature No. Author Title Publisher Year