Artificial Intelligence

1.Course titleArtificial Intelligence
2.CodeF18L2S030
3.Study programme
4.Organizer of the study programme (unit, institute, department)Faculty of Computer Science and Engineering
5.Degree level (first, second, third cycle)First cycle
6.Academic year / semester4 / Summer
7.Number of ECTS credits6
8.Teacher—
9.Prerequisites for enrolling in the courseАлгоритми и податочни структури
10.Course objectives (competences)Upon successful completion of the course, students will have an understanding of the basic areas of artificial intelligence including search, problem solving, knowledge representation, reasoning, decision making, planning, perception and action, and learning -- and their applications. Students will also be able to design and implement key components of intelligent agents of moderate complexity and evaluate their performance.
11.Course contentArtificial intelligence
Intelligent agents
Introduction to search
Heuristic search
Adversarial search
Constraints satisfaction
Logical agents and predicate calculus
Probabilistic reasoning
Knowledge representation
Learning
Neural networks
Genetic algorithms
Communication
12.Learning methodsLectures 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 time6 ECTS x 30 hours = 180 hours
14.Distribution of the available time30 + 60 + 15 + 15 + 60 = 180 hours
15.Forms of teaching activities
15.1.Lectures – theoretical teaching30 hours
15.2.Exercises (laboratory, auditory), seminars, team work60 hours
16.Other forms of activities
16.1.Project assignments15 hours
16.2.Individual assignments15 hours
16.3.Home study60 hours
17.Grading
17.1.Tests40 points
17.2.Seminar paper / project (presentation: written and oral)15 points
17.3.Activity and participation10 points
17.4.Final exam50 points
18.Grading criteria (points / grade)
up to 50 points5 (five) (F)
from 51 to 60 points6 (six) (E)
from 61 to 70 points7 (seven) (D)
from 71 to 80 points8 (eight) (C)
from 81 to 90 points9 (nine) (B)
from 91 to 100 points10 (ten) (A)
19.Requirements for signature and taking the final examActivities 15.2 and 16.1 completed
20.Language of instructionMacedonian and English
21.Method of monitoring teaching qualityinternal evaluation and survey mechanism
22.Literature
22.1.Required literature
No. Author Title Publisher Year
22.2.Additional literature
No. Author Title Publisher Year