•   Internet of Things ET22EC06-3001 13.02.2023-30.04.2023  6 credits  (ET22D-V, ...) +-
    Competence objectives of the study unit
    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
    Prerequisites
    No prerequisites
    Content of the study unit
    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
    Assessment criteria
    Failed (0)
    Less than 50% of the tasks have been solved and documented.
    Name of lecturer(s)

    Roger Mäntylä

    Learning material

    Lecture slides

    Learning methods

    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.

    Objects, timing and methods of assessment

    All task solutions and documentation of the tasks are gathered into a portfolio. The portfolio is graded. There is no exam.

    Teaching language

    English

    Timing

    13.02.2023 - 30.04.2023

    Enrollment date range

    01.12.2022 - 21.02.2023

    Group(s)
    • ET22D-V
    • ELA21D-V
    • ELA20D-V
    Seats

    0 - 20

    Responsible unit

    Faculty of Technology and Seafaring

    Small group(s)
    • ET22 (Size: 30.
    • ELA20-E (Size: 30.
    • ELA21-E (Size: 30.
    Teachers and responsibilities

    Hans Lindén

    Degree Programme(s)

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

    Campus

    Vasa, Wolffskavägen 33

    Assessment scale

    H-5

    Timing and attendance

    According to the schedule

    Assessment criteria
    Failed (0)

    Less than 50% of the tasks have been solved and documented.

    Assessment criteria – satisfactory (1-2)

    In Between 50% and 69% of the tasks have been solved and documented.

    Assessment criteria – good (3-4)

    In Between 70% and 89% of the tasks have been solved and documented.

    Assessment criteria – excellent (5)

    90% or more of the tasks have been solved and documented.