Subject

Internet of Things

Course Title

Internet of Things
Internet of Things

Code

F18L3W108

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

7 / Winter

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

Embedded Microprocessor Systems and (Computer Networks or Computer Networks and Security)

10.

Objectives of the course programme (competences)

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

11.

Course content

(1) Introduction to the Internet of Things (IoT). Evolution from wireless sensor and personal networks to the Internet of Things. Hardware abstractions.
(1) Architecture of IoT systems (dew, fog, edge, cloud). Establishment of an IoT infrastructure.
(1) Electronics needed for IoT, sensors, and IoT platforms.
(1) IoT wireless connectivity. LoRaWAN, ZigBee, and Bluetooth communication technologies. RFID and NFC technologies. Interoperability of wireless IoT protocols.
(1) 6LowPAN. Architecture. 6LowPAN header. 6LowPAN addressing. 6LowPAN compression. Fragmentation and routing.
(1) Application-level protocols. MQTT and COAP.
(1) Algorithms for localization, routing, self-organization, aggregation, fusion, and classification of data from the Internet of Things.
(1) Systems for collecting (acquisition) of sensor (InN) data.
(1) Processing of data obtained from the InN sensors. Data analysis using various Python packages and data visualization.
(1) Design guidelines/opportunities/challenges. Security and confidentiality of IoT systems.
(1) Wireless energy transfer and energy harvesting at InN. .
(1) Overview of popular application domains of IoT: smart homes, smart energy grids, smart cities, transportation, UAVs, nature conservation, healthcare, monitoring systems, biological and security systems.

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, practical classes (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defence of a project assignment and seminar paper, and learning in an electronic environment (forums and consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

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

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	15 hours
16.3.	Home study	75 hours

17.

Assessment method

17.1.	Tests	10 points
17.2.	Seminar paper / 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.

Requirement for obtaining a signature and taking the final exam

Completed laboratory exercises

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature No. Author Title Publisher Year
22.2.	Additional literature No. Author Title Publisher Year