Research Project in the Field of Machine Vision

Објавено: July 18, 2023
1. Course Title Research Project in the Field of Machine Vision
2. Code 4ФЕИТ19
3. Study program 19-MV
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) Second cycle
6. Academic year/semester I/2   7.    Number of ECTS credits 6.00
8. Lecturer
9. Course Prerequisites
10. Course Goals (acquired competencies):

Gaining experience in the implementation of practical projects in the field of machine vision and preparing the student to perform research work, as a condition for the preparation of the master’s thesis, his training for independent research work and developing scientific creativity.
11. Course Syllabus:

Methodology of scientific research and practical implementation of projects. Selection and study of relevant literature for the research. Setting the subject, methods and objectives of the research. Defining research methods. Data collection and processing. Experiment setup. Setting up a simulation or lab environment. Preparation of theses for master’s thesis application.
12. Learning methods:

Mentored learning.
13. Total number of course hours 180
14. Distribution of course hours 0 + 6
15. Forms of teaching 15.1 Lectures-theoretical teaching 0 hours
15.2 Exercises (laboratory, practice classes), seminars, teamwork 90 hours
16. Other course activities 16.1 Projects, seminar papers 30 hours
16.2 Individual tasks 30 hours
16.3 Homework and self-learning 30 hours
17. Grading
17.1 Exams 0 points
17.2 Seminar work/project (presentation: written and oral) 100 points
17.3. Activity and participation 0 points
17.4. Final exam 0 points
18. Grading criteria (points) 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. Conditions for acquiring teacher’s signature and for taking final exam Completed project proposal.
20. Forms of assessment Completion and presentation of the project.
21. Language Macedonian and English
22. Method of monitoring of teaching quality Internal evaluation and surveys.