Introduction to Artificial Intelligence

Објавено: October 12, 2018
  1.    Course Title Introduction to Artificial Intelligence
  2.    Code 3ФЕИТ01З014
  3.    Study program KSIAR
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester III/5   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Vesna Ojleska Latkoska
  9.    Course Prerequisites

10.    Course Goals (acquired competencies):  Introduction to artificial intelligence. Acquiring skills for autonomously solving practical engineering problems in the field of artificial intelligence.
11.    Course Syllabus:

12.    Learning methods:  Combined way of learning: lectures, supported by presentations, homework and auditory exercises, as well as practical laboratory exercises.
13.    Total number of course hours 2 + 2 + 1 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 30
15.2. Exercises (laboratory, practice classes), seminars, teamwork 45
16.    Other course activities 16.1. Projects, seminar papers 0
16.2. Individual tasks 45
16.3. Homework and self-learning 60
17.    Grading 17.1. Exams 30
17.2. Seminar work/project (presentation: written and oral) 0
17.3. Activity and participation 0
17.4. Final exam 70
18.    Grading criteria (points) up to 49 points     5 (five) (F)
from 50 to 59 points     6 (six) (E)
from 60 to 69 points     7 (seven) (D)
from 70 to 79 points     8 (eight) (C)
from 80 to 89 points     9 (nine) (B)
from 90 to 100 points   10 (ten) (A)
19.    Conditions for acquiring teacher’s signature and for taking final exam successful completion of laboratory exercises
20.  Forms of assessment Two partial written exams are scheduled (at the middle and at the end of the semester, each with duration of 120 minutes), tests that are conducted during the classes, as well as homework and project assignments, which are presented/defended during the semester.
1. Students who have passed the partial exams are considered to have passed the final written exam. A final oral exam can also be scheduled, with duration up to 60 minutes. The final grade is formed based on the points from the partial written exams, the tests, the homework and the project assignments and the final oral exam (if scheduled).
2. In the planned exam sessions, a final written exam is taken (lasting 120 minutes). For students who have passed the final written exam, a final oral exam can also be scheduled (with duration up to 60 minutes). The final grade is formed based on the points from the final written exam, the tests, the homework and the project assignments and the final oral exam (if scheduled)
21.   Language Macedonian and English
22.    Method of monitoring of teaching quality internal evaluations and surveys
23.    Literature
23.1. Required Literature
No. Author Title Publisher Year
1 Stuart Russell, Peter Norvig Artificial Intelligence A Modern Approach 2010