IoT Dashboard 2024/2– PPD Pekan

In the IoT Dashboard Design session, 100 students from Pekan District explored the fundamentals of creating real-time dashboards for IoT applications using the UMP STEM Cube, a pico-satellite learning kit designed to enhance engineering education.

The session covered essential topics such as sensor integration, data visualization, and cloud-based data management. Students utilized gyrometer and BMU280 sensor data to design interactive dashboards using Streamlit, a powerful Python framework for building real-time web applications. They also learned how to collect, process, and display data effectively, gaining hands-on experience in dashboard development for IoT systems.

The importance of dashboards in satellite systems was also emphasized, as they play a crucial role in monitoring and visualizing critical data such as altitude, orientation, and environmental conditions. Dashboards enable real-time decision-making, ensuring optimal performance and reliability of satellite operations.

Special appreciation goes to Tn Khairul for coordinating and facilitating smooth communication between the participants and the UMPSA STEM Lab team.

Dec 17th.



Raspberry Pi Programming 2024/10 – PPD Pekan

*UMPSA STEM Lab Raspberry Pi Programming Synopsis can be found here.

In the Raspberry Pi IoT session, 100 students from Pekan District Schools were introduced to the concept of the Internet of Things (IoT) using Raspberry Pi on the UMP STEM Cube, a pico-satellite learning kit specifically designed to facilitate engineering learning.

The content covered basic digital input/output operations on onboard LEDs, as well as topics such as dashboard design using gyro meter and BMU280 sensor data, including collecting and storing data in a cloud database. Participants learned to interface sensors with Raspberry Pi boards and develop IoT applications for real-world scenarios. The session provided students with valuable insights into IoT technology and its applications in various domains.

A special appreciation is extended to En Khairul from PPD Pekan for coordination in facilitating communication between the participants and the UMPSA STEM Lab :).

Dec 17th

Raspberry Pi Programming 2024/9 – SBP Integrasi Kuantan

*UMPSA STEM Lab Raspberry Pi Programming Synopsis can be found here.

In the Raspberry Pi IoT session, 80 students from SBPI Integrasi Kuantan were introduced to the concept of the Internet of Things (IoT) using Raspberry Pi on the UMP STEM Cube, a pico-satellite learning kit specifically designed to facilitate engineering learning.

The content covered basic digital input/output operations on onboard LEDs, as well as topics such as dashboard design using gyro meter and BMU280 sensor data, including collecting and storing data in a cloud database. Participants learned to interface sensors with Raspberry Pi boards and develop IoT applications for real-world scenarios. The session provided students with valuable insights into IoT technology and its applications in various domains.

A special appreciation is extended to Cikgu Syahril for coordination in facilitating communication between the participants and the UMPSA STEM Lab :).

Dec 16th

 

UMPSA STEM Lab: Dashboard Development – Program Synopsis

This module goes beyond traditional activities to integrate dashboard development. Building on earlier exercises involving Raspberry Pi for digital making and sensor control – Raspberry Pi IOT , the module introduces students to creating interactive and visually appealing dashboards using Python and Streamlit.

By learning how to design and deploy dashboards, students are able to transform data into actionable insights, fostering creativity and problem-solving skills. This module highlights the potential of dashboards as versatile tools for displaying and interacting with data, especially in STEM-focused projects.

 

Bridging Digital Making and Dashboards

Earlier modules focused on digital making with Raspberry Pi, where students controlled sensors and engaged in hands-on programming. This practical experience focuses on understanding data collection and manipulation. The next logical step was to showcase this data meaningfully—enter dashboard development.

While third-party platforms like Blynk or Adafruit IO offer straightforward solutions for creating dashboards, their limitations in customization and scalability inspired us to introduce Streamlit. This open-source Python framework allows students to design dashboards with unmatched flexibility and creativity.

Activities in the Dashboard Development Module

  1. Adding Text
    Students learned how to add headings, subheadings, and descriptive text to their dashboards. This simple yet essential step helped them understand how to create user-friendly interfaces.

  2. Data Hunt
    Data is the backbone of any dashboard. Students explored various data sources, including:

    • Local files (e.g., CSVs)
    • URLs and APIs for real-time data
    • Google Sheets for collaborative data storage
      These activities taught students how to retrieve, clean, and prepare data for visualization.
  3. Layout Design
    Through hands-on exercises, students experimented with Streamlit’s layout tools, such as columns, containers, and sidebars. This activity emphasized the importance of designing intuitive dashboards.

  4. Exploring Input Widgets
    Students implemented interactive elements like sliders, checkboxes, and buttons to allow users to customize their experience. They discovered how these widgets make dashboards more dynamic and engaging.
  5. Data Visualization
    Using libraries like Plotly, students transformed raw data into compelling visualizations. From bar charts to interactive maps, they learned to communicate information effectively.

  6. Deployment
    In the final activity, students deployed their dashboards to Streamlit Cloud. This step not only showcased their projects but also reinforced their understanding of deployment pipelines and collaboration tools like GitHub.

Creative Potential with Streamlit

Streamlit’s ability to integrate seamlessly with Python makes it a good platform for fostering creativity. Students are no longer confined to pre-built templates, as they can create dashboards tailored to specific needs, whether it’s monitoring environmental sensors, visualizing IoT data, or developing educational tools.

For instance, a student could design a dashboard that tracks temperature and humidity data collected from Raspberry Pi sensors. The dashboard could display real-time graphs, provide historical comparisons, and even allow users to set alerts—all features that Blynk or Adafruit might limit due to platform constraints.

Expanding Horizons in STEM Education

This dashboard module aligns with the broader goal of empowering students to think critically and creatively in the digital age. By mastering tools like Streamlit, students can transition from passive consumers of technology to active creators, capable of solving real-world problems.

Dashboard development is more than just a technical skill – it’s a gateway to exploring how data shapes decisions in diverse fields, from agriculture to healthcare. Combined with their experience in digital making, students are well-equipped to lead the way in the era of IoT and data-driven solutions.

The integration of Streamlit in our educational modules bridges the gap between data collection and presentation, offering students the tools to develop bespoke dashboards. Unlike third-party platforms, Streamlit encourages limitless creativity, making it the ideal choice for empowering the next generation of innovators.

BTE1522 DRE2213 – Week 9 Dashboard Design

This week we ventured beyond traditional activities to integrate dashboard development. Building on earlier exercises involving Raspberry Pi for digital making and sensor control (Week 5 – 8), this module introduces students to creating interactive and visually appealing dashboards using Python and Streamlit.

By learning how to design and deploy dashboards, students are able to transform data into actionable insights, fostering creativity and problem-solving skills. This module highlights the potential of dashboards as versatile tools for displaying and interacting with data, especially in STEM-focused projects.

Bridging Digital Making and Dashboards

Earlier modules focused on digital making with Raspberry Pi, where students controlled sensors and engaged in hands-on programming. This practical experience focuses on understanding data collection and manipulation. The next logical step was to showcase this data meaningfully—enter dashboard development.

While third-party platforms like Blynk or Adafruit IO offer straightforward solutions for creating dashboards, their limitations in customization and scalability inspired us to introduce Streamlit. This open-source Python framework allows students to design dashboards with unmatched flexibility and creativity.

Activities in the Dashboard Development Module

  1. Adding Text
    Students learned how to add headings, subheadings, and descriptive text to their dashboards. This simple yet essential step helped them understand how to create user-friendly interfaces.
  2. Data Hunt
    Data is the backbone of any dashboard. Students explored various data sources, including:

    • Local files (e.g., CSVs)
    • URLs and APIs for real-time data
    • Google Sheets for collaborative data storage
      These activities taught students how to retrieve, clean, and prepare data for visualization.
  3. Layout Design
    Through hands-on exercises, students experimented with Streamlit’s layout tools, such as columns, containers, and sidebars. This activity emphasized the importance of designing intuitive dashboards.
  4. Exploring Input Widgets
    Students implemented interactive elements like sliders, checkboxes, and buttons to allow users to customize their experience. They discovered how these widgets make dashboards more dynamic and engaging.
  5. Data Visualization
    Using libraries like Plotly, students transformed raw data into compelling visualizations. From bar charts to interactive maps, they learned to communicate information effectively.
  6. Deployment
    In the final activity, students deployed their dashboards to Streamlit Cloud. This step not only showcased their projects but also reinforced their understanding of deployment pipelines and collaboration tools like GitHub.

Creative Potential with Streamlit

Streamlit’s ability to integrate seamlessly with Python makes it a good platform for fostering creativity. Students are no longer confined to pre-built templates, as they can create dashboards tailored to specific needs, whether it’s monitoring environmental sensors, visualizing IoT data, or developing educational tools.

For instance, a student could design a dashboard that tracks temperature and humidity data collected from Raspberry Pi sensors. The dashboard could display real-time graphs, provide historical comparisons, and even allow users to set alerts—all features that Blynk or Adafruit might limit due to platform constraints.

Expanding Horizons in STEM Education

This dashboard module aligns with the broader goal of empowering students to think critically and creatively in the digital age. By mastering tools like Streamlit, students can transition from passive consumers of technology to active creators, capable of solving real-world problems.

Dashboard development is more than just a technical skill – it’s a gateway to exploring how data shapes decisions in diverse fields, from agriculture to healthcare. Combined with their experience in digital making, students are well-equipped to lead the way in the era of IoT and data-driven solutions.

The integration of Streamlit in our educational modules bridges the gap between data collection and presentation, offering students the tools to develop bespoke dashboards. Unlike third-party platforms, Streamlit encourages limitless creativity, making it the ideal choice for empowering the next generation of innovators.

As you continue to explore these capabilities, take note on the impact of these creations can have—not just in the classroom but also in the communities and beyond. Through dashboard development, you’re not just learning coding; but also learning to turn ideas into impactful realities.