Sensor systems

1.

Subject title

Sensor systems

Сензорски системи

2.

Code

F23L3W200

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Информатичка едукација, Software engineering and information systems, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Стручни студии за програмирање, Стручни студии за програмирање,

4.

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

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

4 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Билјана Ристеска Стојкоска

9.

Prerequisites for enrollment

Архитектура и организација на компјутери или Компјутерски архитектури

10.

Subject goals and competencies:

The student will be familiar with the main challenges in the design of sensor systems.

11.

Subject content:

Lectures: 1. Familiarity with sensors and their characteristics. Basic building components of sensor nodes. Sensor Node Operating Systems. 2. Wireless sensor networks (WSN) and systems. Classification of BSM. Architectures for BSM. 3. Challenges in BSM design. Establishment of sensor infrastructure. Calibration, self-organization, synchronization, localization and data processing. 4. Data routing at BSM. 5. Localization at BSM. Classification of localization. 6. Localization in 3D network. Overview of 3D localization algorithms and techniques. 7. Overview of algorithms and techniques for indoor localization in mobile devices. 8. Overview of energy saving techniques at BSM. Aggregation of data. Data compression. 9. Dual prediction scheme. An overview of prediction models. 10. Introduction to data fusion. 11. Introduction to the Internet of Things. Architecture of InN-based applications. 12. Overview of modern and future applications of sensor systems. UAVs. Exercises: 1. An overview of sensor nodes available in the market and their comparison. 2. Overview of applications in which BSM is applied. 3. Designing BSM according to given requirements. 4. Designing BSM according to given requirements. 5. Development of a localization algorithm based on trilateration in a 2D environment. 6. Development of a localization algorithm based on trilateration in a 3D environment. 7. Development of a localization simulator in a 2D/3D environment. 8. Development of compression algorithm. 9. Development of prediction models based on LMS, ARMA, ARIMA, etc. 10. Development of an algorithm that fuses data from different heterogeneous nodes. 11. Overview of InN-based applications. 12. Overview of UAV Applications.

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации).

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

10 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

10 points

17.4.

Final exam

70 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

15.1 и 15.2

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature