Internet of Things Systems

Објавено: October 12, 2018
  1.    Course Title Internet of Things Systems
  2.    Code 3ФЕИТ07Л030
  3.    Study program KTI, TKII
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester IV/8   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Marija Kalendar
  9.    Course Prerequisites

10.   Course Goals (acquired competencies):  Introducing the concepts of the Internet of Things (IoT), the underlying technologies, the architecture and the standards. Platforms for the IoT. Upon completion of the course the students will be able to work with IoT systems.

11.   Course Syllabus: Introduction to the Internet of Things (IoT). Elements and concepts of the IoT ecosystem. The technologies behind the IoT. Architecture of the IoT. Sensors and sensor nodes. Standards. Wireless sensor networks. Connectivity and networks. Wireless technologies for the Internet of Things. Protocols. RFID and NFC technology in IoT. Data storage and analysis. Analysis and applications. Signal processing in real time. Local analysis. Localization algorithms. Indoor localization.  Real-time processing systems. Characteristics. Deployment. Operating systems for real-time operation. RTOS and application for the IoT. Embedded systems and platforms. Intel Platforms for IoT. Yocto project and Yocto core. IoT applicaitons: smart health, smart homes, smart cities, etc. Development of embedded applications for work in the cloud. Security in the Internet of Things.
12.    Learning methods:  Laboratory exercises, practical work and lectures
13.    Total number of course hours 2 + 2 + 1 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 30
15.2. Exercises (laboratory, practice classes), seminars, teamwork 45
16.    Other course activities 16.1. Projects, seminar papers 15
16.2. Individual tasks 30
16.3. Homework and self-learning 60
17.    Grading 17.1. Exams 10
17.2. Seminar work/project (presentation: written and oral) 30
17.3. Activity and participation 0
17.4. Final exam 60
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 Laboratory exercises,
20.  Forms of assessment Two partial exams during the semester with a duration of 120 minutes or one full exam in a corresponding exam session with a duration of 120 minutes. Independent (seminar) project work by each student. The second partial exam includes presentation and defense of the independent (seminar) project work. The laboratory exercises are also graded. The final grade includes points from the exam, the project (seminar) work and the laboratory exercises.
It is not allowed to use books, scripts, manuscripts or notes of any kind during the exam, as well as a calculator, mobile phone, tablet or any other electronic device
21.   Language Macedonian and English
22.  Method of monitoring of teaching quality Internal evaluation and surveys
23.  Literature
23.1. Required Literature
No. Author Title Publisher Year
1 R. Buyya, A.V. Dastjerdi Internet of Things: Principles and Paradigms Morgan Kaufmann 2016
2 Samuel Greengard Тhe Internet of Things The MIT Press 2015
3 Peter Waher Learning Internet of Things Packt Publishing 2015
23.2. Additional Literature
No. Author Title Publisher Year
1 J. Biron and J. Follett  Foundational Elements of an IoT Solution  O’Reilly Media  2016