Week 1 Assemble Hardware, Definitions, and MicroPython Programming

Dive into all the basics you need to get started with IoT.

Course kick-off

Lecture 01: Introduction to the Internet of Things

Lecture 01 is the introduction to IoT, IoT reference model, the entities of the IoT systems, IoT roadmap, and some pilotcases (projects) done at the IoT Lab in Kalmar.

Slides: [Lecture01.pdf]

Lecture 02: Microcontrollers and Electronic Components

Lecture 02 is about microcontrollers and electronic components. You will learn about the Raspberry Pi Pico W microcontroller specifications, Raspberry Pi Pico W pinout diagram, the digital communication protocols such as UART, I2C, and SPI, the electronic components such as resistors, sensors, jumper wires, LEDs, and how to set up the Raspberry Pi Pico W in the VSCode using the appropriate extensions. Lecture 02 is divided in to six smaller parts for you to be able to easy digest the information. Watch them in order.

Slides: [Lecture02_Topic04.pdf]

Part 5: Electronic Components (00:23)

Slides: [Lecture02_Topic05.pdf]

Part 6: Install Pymakr for VSCode by following the roadmap on Discord

Lecture 03: IoT Communication, Technologies, and Protocols

You will learn about different communication technologies such as WiFi, Bluetooth, LTE, and LoRa. You will see the comparison between these technologies in terms of range and data rate. Also, you will learn what is TCP/IP layer model which is suitable for the web and it consists its own protocols in each layer. The IoT layer model which is suitable for the IoT devices (the devices with constrained capacities such as processing power and memory size) is compared to the TCP/IP model. You also get to know about the IoT stack of protocols which is about the protocols used in each IoT layer model. You also will learn about the remote sensing and remote controlling. Lecture 03 consists only one part.

Slides: [Lecture03.pdf]

Lecture 04: MicroPython Programming on Rpi Pico W

If you are not familiar with programming, you will learn about the basic concepts of MicroPython programming language, the most popular libraries such as struct, machine, network, and time , and many more examples. You will learn about the VSCode Integrated Development Environment (IDE) and the script mode and interactive mode (REPL). You will learn how to do the first physical programming ---On-board LED Blinking--- on your Raspberry Pi Pico W. Lecture 04 is divided in five smaller parts for you to be able to easy digest the information. Watch them in order.

Part 1: Introduction to MicroPython

Slides: [IoT_Lecture04_Topic01.pdf]

Part 2: Introducing the VSCode IDE and REPL

[IoT_Lecture04_Topic02.pdf]

Part 3: Basic Programming Concepts

Slides: [IoT_Lecture04_Topic03.pdf]

Part 4: MicroPython Libraries

Slides: [IoT_Lecture04_Topic04.pdf]

Part 5: Rpi Pico W Programming Examples

Slides: [IoT_Lecture04_Topic05.pdf]

Lecture 05: Messaging Protocols and Data Formats

Lecture 05 is about the messaging protocols and data formats. You will learn about Message Queuing Telemetry Transport (MQTT) protocol, how to setup a MQTT broker/server in Adafruit, and how to test your broker using MQTT Explorer client. You also will learn what are the data formats and how you will use them when is suposed to prepare a data to send to a server.

Slides: [Lecture05.pdf]

Don't forget to finish the first Quiz 1.

Week 1 recap

Watch on Streamyard (no ads)

Week 2 Connectivity

Week 2 kick-off

Watch on Streamyard (no ads)

Lecture 06: Long-Range Connectivity with LoRaWAN

Lecture 06 is about connectivity with LoRaWAN. You will learn about LoRaWAN protocol and LoRa technology. You will learn about the LoRaWAN-based Network Servers (LNS) and how to send the data via LoRaWAN

Slides: [Lecture06.pdf]

Bonus lecture: Building on Helium with Joey Hiller, Helium Foundation

Watch the bonus guest lecture on Streamyard (no ads).

Bonus lectures from the previous years:

Week 3 Data Visualisation

This week will be about making your data visual. You can create your data dashboards for tracking, analyzing, and displaying the data.

Lecture 07: Introduction to Data analysis & visualisation for IoT

Lecture 08: Overview of data analysis & visualisation tools for IoT

Week 4 Project Tooling and extra material

This week we will focus on getting your projects ready.

We will cover Docker and setting up your own stack.

Docker, quick recap

Extras:

Week 5 Project presentations (exam week)

This week will have no lectures or workshops. The final week will be presentations for all projects.