Skip to main content

Internet of Things (6 cr)

Code: ET22EC06-3005

General information


Enrollment

01.12.2024 - 09.02.2025

Timing

10.02.2025 - 27.04.2025

Number of ECTS credits allocated

6 op

Mode of delivery

Contact teaching

Campus

Vasa, Wolffskavägen 33

Teaching languages

  • English

Degree programmes

  • Degree Programme in Energy Technology
  • Degree Programme in Electrical Engineering and Automation

Teachers

  • Hans Lindén

Teacher in charge

Ronnie Sundsten

Scheduling groups

  • ET24 (Size: 40. Open UAS: 0.)
  • ELA23-E (Size: 40. Open UAS: 0.)

Groups

  • ET24D-V
    Energy Technology, 2024
  • ELA23D-V
    Ingenjör (YH), el- och automationsteknik, 2023, dagstudier

Small groups

  • ET24
  • ELA23-E

Objective

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

Content

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

Materials

Lecturer's slides and handouts

Reference book:
Exploring Raspberry Pi: Interfacing to the Real World with Embedded Linux by Derek Molloy

Evaluation scale

H-5

Assessment criteria, approved/failed

Approved: Active participation in lectures and excercises, approved portfolio
Otherwise, not approved.

Qualifications

No prerequisites