Internet of ThingsPoäng (6 sp)
Kod: ET22EC06
Poäng
6 op
Studieperiodens (kursens) lärandemål
Knowledge and understanding
After completing the course, the student should be able to:
- explain the advantages of using IoT solutions
- define the need for IoT solutions in applications
Skills and Abilities
After completing the course, the student should be able to:
- create simple Node-Red applications
- communicate using Wireless communication
- optimize the availability of data using Cloud services
- analyze the needs for Smart home solutions
Evaluation Ability and Approach
After completing the course, the student should be able to:
- select relevant technology based on application
- justify the choice of technology in IoT applications
Studieperiodens (kursens) innehåll
Introduction and Raspberry PI
What is IoT and the future
Getting to know Raspberry PI: Installation, Node-red, Dashboard, MQTT
One hands on exercise (Node-Red and MQTT)
Wireless technology
Overview of the wireless technology used today: Bluetooth, Wifi, LoraWAN (and Sigfox), NB IoT with 4G and 5G cellular network
How to connect LoraWAN sensors. LoraWAN commercial network from Digita (national network) and global open network from The Things Network.
Make your own IoT sensor with ESP32 and DS18B20, a battery powered temperature sensor with Wifi.
3 Hands on exercises (Bluetooth & Wifi, LoraWAN and ESP32)
Cloud services for IoT
Basic overview
Azure and/or AWS
One hands on exercise
Smart home
Using cloud services and Raspberry Pi to control and measuring your home.
Using voice control with smart speakers from Amazon and Google.
One hands on exercise
Förkunskapskrav
No prerequisites
Bedömningskriterier, godkänt/underkänt
Approved: Active participation in lectures and excercises, approved portfolio
Otherwise, not approved.
Läromaterial
Lecturer's slides and handouts
Reference book:
Exploring Raspberry Pi: Interfacing to the Real World with Embedded Linux by Derek Molloy
Anmälningstid
01.12.2024 - 09.02.2025
Tajmning
10.02.2025 - 27.04.2025
Antal studiepoäng
6 op
Prestationssätt
Kontaktundervisning
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Utbildning
- Energy Technology
- Utbildning i el- och automationsteknik
Lärare
- Hans Lindén
Lärare
Ronnie Sundsten
Grupper
- ET24 (Storlek: 40. Öppet universitet: 0.)
- ELA23-E (Storlek: 40. Öppet universitet: 0.)
Grupper
-
ET24D-VEnergy Technology, 2024
-
ELA23D-VIngenjör (YH), el- och automationsteknik, 2023, dagstudier
Smågrupper
- ET24
- ELA23-E
Lärandemål
Knowledge and understanding
After completing the course, the student should be able to:
- explain the advantages of using IoT solutions
- define the need for IoT solutions in applications
Skills and Abilities
After completing the course, the student should be able to:
- create simple Node-Red applications
- communicate using Wireless communication
- optimize the availability of data using Cloud services
- analyze the needs for Smart home solutions
Evaluation Ability and Approach
After completing the course, the student should be able to:
- select relevant technology based on application
- justify the choice of technology in IoT applications
Innehåll
Introduction and Raspberry PI
What is IoT and the future
Getting to know Raspberry PI: Installation, Node-red, Dashboard, MQTT
One hands on exercise (Node-Red and MQTT)
Wireless technology
Overview of the wireless technology used today: Bluetooth, Wifi, LoraWAN (and Sigfox), NB IoT with 4G and 5G cellular network
How to connect LoraWAN sensors. LoraWAN commercial network from Digita (national network) and global open network from The Things Network.
Make your own IoT sensor with ESP32 and DS18B20, a battery powered temperature sensor with Wifi.
3 Hands on exercises (Bluetooth & Wifi, LoraWAN and ESP32)
Cloud services for IoT
Basic overview
Azure and/or AWS
One hands on exercise
Smart home
Using cloud services and Raspberry Pi to control and measuring your home.
Using voice control with smart speakers from Amazon and Google.
One hands on exercise
Studiematerial och rekommenderad litteratur
Lecturer's slides and handouts
Reference book:
Exploring Raspberry Pi: Interfacing to the Real World with Embedded Linux by Derek Molloy
Vitsordsskala
H-5
Bedömningskriterier, godkänt/underkänt
Approved: Active participation in lectures and excercises, approved portfolio
Otherwise, not approved.
Förkunskapskrav
No prerequisites
Anmälningstid
30.11.2023 - 25.02.2024
Tajmning
12.02.2024 - 28.04.2024
Antal studiepoäng
6 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Utbildning
- Energy Technology
- Utbildning i el- och automationsteknik
Lärare
- Hans Lindén
Lärare
Ronnie Sundsten
Grupper
- ELA22-E (Storlek: 40. Öppet universitet: 0.)
- ET23 (Storlek: 40. Öppet universitet: 0.)
Grupper
-
ET23D-VEnergy Technology, 2023
-
ELA22D-VIngenjör (YH), el- och automationsteknik, 2022, dagstudier
Smågrupper
- ELA22-E
- ET23
Lärandemål
Knowledge and understanding
After completing the course, the student should be able to:
- explain the advantages of using IoT solutions
- define the need for IoT solutions in applications
Skills and Abilities
After completing the course, the student should be able to:
- create simple Node-Red applications
- communicate using Wireless communication
- optimize the availability of data using Cloud services
- analyze the needs for Smart home solutions
Evaluation Ability and Approach
After completing the course, the student should be able to:
- select relevant technology based on application
- justify the choice of technology in IoT applications
Innehåll
Introduction and Raspberry PI
What is IoT and the future
Getting to know Raspberry PI: Installation, Node-red, Dashboard, MQTT
One hands on exercise (Node-Red and MQTT)
Wireless technology
Overview of the wireless technology used today: Bluetooth, Wifi, LoraWAN (and Sigfox), NB IoT with 4G and 5G cellular network
How to connect LoraWAN sensors. LoraWAN commercial network from Digita (national network) and global open network from The Things Network.
Make your own IoT sensor with ESP32 and DS18B20, a battery powered temperature sensor with Wifi.
3 Hands on exercises (Bluetooth & Wifi, LoraWAN and ESP32)
Cloud services for IoT
Basic overview
Azure and/or AWS
One hands on exercise
Smart home
Using cloud services and Raspberry Pi to control and measuring your home.
Using voice control with smart speakers from Amazon and Google.
One hands on exercise
Tid och plats
According to the schedule
Studiematerial och rekommenderad litteratur
Lecture slides
Undervisningsmetoder
Shorter theory briefings accompanied by hands on tasks that are partly solved during the scheduled time slots and partly at home. Tasks are done in groups of two persons.
Vitsordsskala
H-5
Bedömningskriterier, godkänt/underkänt
Approved: Active participation in lectures and excercises, approved portfolio
Otherwise, not approved.
Bedömningsmetoder (förverkligande) och -kriterier (studieperioder/kurser)
All task solutions and documentation of the tasks are gathered into a portfolio. The portfolio is graded. There is no exam.
Underkänd (0)
Less than 50% of the tasks have been solved and documented.
Bedömningskriterier, tillfredsställande-synnerligen tillfredsställande (1-2)
In Between 50% and 69% of the tasks have been solved and documented.
Bedömningskriterier, goda-synnerligen goda (3-4)
In Between 70% and 89% of the tasks have been solved and documented.
Bedömningskriterier, berömliga (5)
90% or more of the tasks have been solved and documented.
Förkunskapskrav
No prerequisites
Anmälningstid
01.12.2022 - 21.02.2023
Tajmning
13.02.2023 - 30.04.2023
Antal studiepoäng
6 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Antal studerande (min. - max.)
0 - 20
Utbildning
- Energy Technology
- Utbildning i el- och automationsteknik
Lärare
- Hans Lindén
Lärare
Roger Mäntylä
Grupper
- ET22 (Storlek: 30. Öppet universitet: 0.)
- ELA20-E (Storlek: 30. Öppet universitet: 0.)
- ELA21-E (Storlek: 30. Öppet universitet: 0.)
Grupper
-
ET22D-VEnergy Technology, 2022
-
ELA21D-VIngenjör (YH), el- och automationsteknik, 2021, dagstudier
-
ELA20D-VIngenjör (YH), el- och automationsteknik, h20, dagstudier
Smågrupper
- ET22
- ELA20-E
- ELA21-E
Lärandemål
Knowledge and understanding
After completing the course, the student should be able to:
- explain the advantages of using IoT solutions
- define the need for IoT solutions in applications
Skills and Abilities
After completing the course, the student should be able to:
- create simple Node-Red applications
- communicate using Wireless communication
- optimize the availability of data using Cloud services
- analyze the needs for Smart home solutions
Evaluation Ability and Approach
After completing the course, the student should be able to:
- select relevant technology based on application
- justify the choice of technology in IoT applications
Innehåll
Introduction and Raspberry PI
What is IoT and the future
Getting to know Raspberry PI: Installation, Node-red, Dashboard, MQTT
One hands on exercise (Node-Red and MQTT)
Wireless technology
Overview of the wireless technology used today: Bluetooth, Wifi, LoraWAN (and Sigfox), NB IoT with 4G and 5G cellular network
How to connect LoraWAN sensors. LoraWAN commercial network from Digita (national network) and global open network from The Things Network.
Make your own IoT sensor with ESP32 and DS18B20, a battery powered temperature sensor with Wifi.
3 Hands on exercises (Bluetooth & Wifi, LoraWAN and ESP32)
Cloud services for IoT
Basic overview
Azure and/or AWS
One hands on exercise
Smart home
Using cloud services and Raspberry Pi to control and measuring your home.
Using voice control with smart speakers from Amazon and Google.
One hands on exercise
Tid och plats
According to the schedule
Studiematerial och rekommenderad litteratur
Lecture slides
Undervisningsmetoder
Shorter theory briefings accompanied by hands on tasks that are partly solved during the scheduled time slots and partly at home. Tasks are done in groups of two persons.
Vitsordsskala
H-5
Bedömningskriterier, godkänt/underkänt
Approved: Active participation in lectures and excercises, approved portfolio
Otherwise, not approved.
Bedömningsmetoder (förverkligande) och -kriterier (studieperioder/kurser)
All task solutions and documentation of the tasks are gathered into a portfolio. The portfolio is graded. There is no exam.
Underkänd (0)
Less than 50% of the tasks have been solved and documented.
Bedömningskriterier, tillfredsställande-synnerligen tillfredsställande (1-2)
In Between 50% and 69% of the tasks have been solved and documented.
Bedömningskriterier, goda-synnerligen goda (3-4)
In Between 70% and 89% of the tasks have been solved and documented.
Bedömningskriterier, berömliga (5)
90% or more of the tasks have been solved and documented.
Förkunskapskrav
No prerequisites