Smart production and monitoring systems

1.

Subject title

Smart production and monitoring systems

Паметни системи за производство и мониторинг

2.

Code

m23_s_073

3.

Study program

Cloud Computing, Data science in computer science and engineering, IT management, Bioinformatics, Security, Cryptography and Coding, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software Engineering, Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Software for embedded systems,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

In this course, the advanced IT algorithms and monitoring and management systems used in the production of food, agriculture and livestock breeding. Candidates will be capable of designing and implementing IT systems for precise agriculture and livestock and to perform advanced analysis and monitoring of production using data sensors and autonomous robotic systems.

11.

Subject content:

IT integration with the production of food and raw materials Applying advanced sensors and effectors in smart production IoT and Cloud paradigm in production and precise agriculture Methods for data analysis in precise agriculture and smart production Application of artificial intelligence and robotics in precise agriculture and smart production

12.

Learning methods:

Предавања, вежби, самостојна работа, проектни задачи, семинарски работи

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + 0 + 30 + 50 + 40 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

0 hours

16.

Other forms of activities

16.1.

Project tasks

50 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

40 hours

17.

Grading method

17.1.

Tests

45 points

17.2.

Seminar work / project (presentation: written and oral)

50 points

17.3.

Activities and learning

10 points

17.4.

Final exam

0 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.

Condition for signature and taking final exam

реализирани 15.1 и 15.2

20.

Language of instruction

Македонски и Англиски

21.

Quality assurance method

Интерна самоевалуација

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature