IoT

1.Course titleIoT
2.CodeF18L3W108
3.Study programme—
4.Organizer of the study programme (unit, institute, department)Faculty of Computer Science and Engineering
5.Degree level (first, second, third cycle)First cycle
6.Academic year / semester7 / Winter
7.Number of ECTS credits6
8.Teacher—
9.Prerequisites for enrolling in the courseВградливи микропроцесорски системи и (Компјутерски мрежи или Компјутерски мрежи и безбедност)
10.Course objectives (competences)Students will obtain knowledge about the main development steps and challenges when designing Internet of Things based solutions. At the end of the course students can model, design and implement IoT systems in different application domains.
11.Course content(1) Introduction to Internet of Things. Evolution from wireless sensor and personal area networks to Internet of Things. Hardware abstractions.
(1) Building the IoT Architecture (dew, fog, edge, cloud).
(1) IoT electronics, sensors and IoT platforms.
(1) IoT wireless connectivity. LoRaWAN, ZigBee and Bluetooth Low Energy technology. RFID and NFC technology. Interoperability of different wireless IoT protocols.
(1) 6LowPAN. Architecture. 6LowPAN headers and addressing. 6LowPAN compression. Fragmentation and routing.
(1) Application level protocols. MQTT and COAP.
(1) Localization algorithms, routing, self-organizing, aggregation, data fusion and classification in IoT
(1) Data acquisition systems for sensor data.
(1) Processing sensor IoT data. Data analysis using different Python packages and data visualization.
(1) Design guidelines/possibilities/risks. Security, privacy and data confidentiality in IoT systems.
(1) Wireless energy transport and energy harvesting in IoT.
(1) Survey of popular application IoT domains: smart home, smart grid, smart city, smart city, UAV, smart eco-systems, smart health, monitoring systems, biological and security systems.
12.Learning methodsLectures 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 time6 ECTS x 30 hours = 180 hours
14.Distribution of the available time30 + 45 + 15 + 15 + 75 = 180 hours
15.Forms of teaching activities
15.1.Lectures – theoretical teaching30 hours
15.2.Exercises (laboratory, auditory), seminars, team work45 hours
16.Other forms of activities
16.1.Project assignments15 hours
16.2.Individual assignments15 hours
16.3.Home study75 hours
17.Grading
17.1.Tests10 points
17.2.Seminar paper / project (presentation: written and oral)15 points
17.3.Activity and participation10 points
17.4.Final exam70 points
18.Grading criteria (points / grade)
up to 50 points5 (five) (F)
from 51 to 60 points6 (six) (E)
from 61 to 70 points7 (seven) (D)
from 71 to 80 points8 (eight) (C)
from 81 to 90 points9 (nine) (B)
from 91 to 100 points10 (ten) (A)
19.Requirements for signature and taking the final examCompleted laboratory exercises
20.Language of instructionMacedonian and English
21.Method of monitoring teaching qualityinternal evaluation and survey mechanism
22.Literature
22.1.Required literature
No. Author Title Publisher Year
22.2.Additional literature
No. Author Title Publisher Year