Internet of things

1.

Subject title

Internet of things

Интернет на нештата

2.

Code

F23L3W108

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Интернет, мрежи и безбедност, Информатичка едукација, Software engineering and information systems, Компјутерско инженерство, 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, Statistics and Data Analytics, Software Engineering,

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 проф. д-р Игор Мишковски

9.

Prerequisites for enrollment

Компјутерски мрежи или Компјутерски мрежи и безбедност

10.

Subject goals and competencies:

The student will be familiar with the main development steps and challenges in designing solutions based on the Internet of Things. The student will be able to model, design and implement such systems in different application domains.

11.

Subject content:

(1) Introduction to the Internet of Things (IoT). Evolution from personal networks to the Internet of Things. Hardware abstractions. (1) Establishment of InN infrastructure. (1) Electronics required for InN, sensors and InN platforms. (1) InN wireless connection. LoRaWAN, ZigBee and Bluetooth Connectivity Technology. RFID and NFC technology. (1) 6LowPAN. Architecture. 6LowPAN header. 6LowPAN addressing. 6LowPAN Compression. Fragmentation and Routing. (1) Application level protocols. MQTT and COAP. (1) Routing Algorithms, Self-Organizing InN. (1) Sensor data acquisition systems. (1) Processing of data received from InN sensors. Data analysis using various Python packages and data visualization. (1) Design Directions/Opportunities/Challenges. Security and reliability of InN systems. (1) Wireless energy transport and energy harvesting at InN. (1) Overview of popular application domains of IoT: smart homes, smart energy networks, smart cities, transportation, nature protection, health care, monitoring systems, biological and security systems.

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

Изработени лабораториски вежби

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