Networks of Smart Things
BASIC DATA
course listing
A - main register
course code
IEE1630
course title in Estonian
Tarkade asjade võrgud
course title in English
Networks of Smart Things
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Examination
teaching semester
autumn
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
EAMM23/25
no
Structural units teaching the course
IE - Thomas Johann Seebeck Department of Electronics
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Anda lai teoreetiline ja praktiline ülevaade tarkade asjade (asjade internet, IoT) rakendustest, laialdaselt kasutatavatest sidestandarditest ja seadmeplatvormidest.
course aims in English
To give broad theoretical and practical overview of Smart Things (Internet of Things, IoT) applications, widely used communication standards and device platforms.
learning outcomes in the course in Est.
Õppeaine läbinud üliõpilane:
- oskab leida ja hinnata uut informatsiooni, mis on seotud IoT tehnoloogiatega;
- tunneb peamisi tarkade asjade rakendusvaldkondi;
- teab IoT seadmete funktsionaalseid sõlmi ja antud valdkonnas olulisi andureid;
- omab praktilist oskusteavet oluliste juhtmega ja juhtmeta lühimaa andmesidevõrkude ja sideprotokollide vallas;
- teab kaasaegsete IoT seadmete piiranguid arvutusvõimuse, energiaefektiivsuse ja sidevõimekuse alal;
- mõistab motivatsiooni IP-l ja semantikal põhinevate sidelahenduste realiseerimiseks;
- omab üldist arusaama turva- ja privaatsusprobleemidest madala energiatarbega juhtmevabades võrkudes.
learning outcomes in the course in Eng.
Student who has completed the course:
- is able to find and validate new information related to IoT technologies;
- is familiar with main Smart Things application areas;
- knows functional blocks and essential sensors of IoT devices;
- has practical knowledge of leading short-range wired and wireless communication technologies and protocols;
- knows real-life limitations of computational performance, energy efficiency and connectivity of modern IoT devices;
- understands motivation for IP-driven and semantic communication;
- has basic knowledge of security and privacy concerns in low power wireless networks.
brief description of the course in Estonian
Ülevaade tarkade asjade kasutusaladest – targad kodud, targad linnad, tark põllumajandus, targad sõidukid, tööstuse asjade internet, targad meditsiiniseadmed, inimeste internet. Spetsiaalandurid, raadiomärgiste (RFID) tehnoloogiad ja tarkade asjade energiakorje. Olulised juhtmeta ja juhtmega sidetehnoloogiad lähivõrkudes, naabrusvõrkudes ja madala energiatarbega kaugvõrkudes. Kerkivad probleemid IoT turvalisuse, privaatsuse ja andmete ühilduvuse alal. Pilve- ja uduarvutuse eripärad. IP-protokollidel ja semantikal rajaneva andmevahetuse eriomadused. Kursuse fookus on IoT riistvaralahendustel ja lühimaa andmesidel.
brief description of the course in English
Overview of Smart Things use areas - smart homes, smart cities, smart agriculture, smart vehicles, industrial Internet of Things (IIoT), Internet of Medical Things (IoMT), and Internet of People (IoP). Advanced sensorics, RFID technologies and energy harvesting for Smart Things. Leading wireless and wired connectivity technologies for personal area networking (PAN), neighborhood area networking (NAN) and low power wide area networking (LPWAN). Emerging issues of IoT security, privacy and data interoperability. Cloud computing vs fog computing. Special properties of IP-protocol based IoT networking of sematic data exchange. The focus of the course is on IoT hardware solutions and short-range communication.
type of assessment in Estonian
Kirjalik eksam ca 20 küsimusega, 100 punkti süsteemis. Kursus sisaldab vaheteste, laboratoorseid töid ja grupiarendustööd. Eksamile pääsemise eelduseks on teostatud laboratoorsed tööd ja grupitöö.
type of assessment in English
Written exam containing ca 20 questions, 100 points scoring system. Course contains mid-term tests, lab works and a group development task. Prerequisites for exam access are completed laboratory works and a group task.
independent study in Estonian
-
independent study in English
-
study literature
-
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
2.0
lectures
16.0
practices
1.0
practices
8.0
exercises
1.0
exercises
8.0
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2023/2024 autumn
Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
English
    display more
    2022/2023 spring
    Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
    English
      2022/2023 autumn
      Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
      English
        2021/2022 autumn
        Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
        English
          IEE1630 Networks of Smart Things assessment criteria.pdf 
          2020/2021 spring
          Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
          English
            IEE1630 Networks of Smart Things assessment criteria.pdf 
            2020/2021 autumn
            Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
            English
              IEE1630 Networks of Smart Things assessment criteria.pdf 
              2019/2020 autumn
              Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
              English
                IEE1630 Networks of Smart Things assessment criteria.pdf 
                2018/2019 autumn
                Alar Kuusik, IE - Thomas Johann Seebeck Department of Electronics
                English
                  IEE1630 Networks of Smart Things assessment criteria.pdf 
                  Course description in Estonian
                  Course description in English