Intelligent Wireless Infrastructures: Technologies and Applications

Објавено: July 3, 2023
1. Course Title Intelligent Wireless Infrastructures: Technologies and Applications
2. Code 4ФЕИТ10008
3. Study program 11-IBS, 12-KIT, 20-IMSA
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/1   7.    Number of ECTS credits 6.00
8. Lecturer Dr Valentin Rakovikj
9. Course Prerequisites
10. Course Goals (acquired competencies):

Familiarization with the characteristics of IoT / MTC network concepts relevant to the construction of ICT infrastructures. Understanding the concept of short-range networks (Sensor Networks, RFID, NFC) and Personal Networking (PAN, BAN). Analysis and design of LPWAN networks. Elements of ICT infrastructures and communications in the cloud. Practical implementation (case study) of various IoT / MTC wireless technologies. Development of IoT-based services and applications.

11. Course Syllabus:

Introduction. Personal networks and sensor networks (IEEE 802.15.x, architectures, protocols, applications). RFID, NFC. The concept of Internet of Things (IoT). MTC standards. Interconnection in IoT. Connecting to a cloud. Applications and services related to IoT concepts (eg intelligent homes, intelligent transportation, intelligent cities.) Internet of Everything (IoE).

12. Learning methods:

Lectures, independent work on project tasks and preparation of seminar work

13. Total number of course hours 180
14. Distribution of course hours 3 + 3
15. Forms of teaching 15.1 Lectures-theoretical teaching 45 hours
15.2 Exercises (laboratory, practice classes), seminars, teamwork 45 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 30 points
17.2 Seminar work/project (presentation: written and oral) 50 points
17.3. Activity and participation 20 points
17.4. Final exam  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 Regular attendance at classes
20. Forms of assessment

One full exam with a duration of max 120 minutes in a corresponding exam session and presentation of seminar work.

21. Language Macedonian and English
22. Method of monitoring of teaching quality Self-evaluation
23. Literature
23.1.       Required Literature
No. Author Title Publisher Year
1. Carles Anton-Haro, Mischa Dohler Machine-to-machine (M2M) Communications Elsevier 2016
2. S. Greengard The Internet of Things MIT press 2015
3. Vojislav B. Misic, Jelena Misic Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications CRC Press 2017