Introduction to Displays and Data Visualization with Arduino
Learners will explore the integration of displays and data visualization in Arduino projects. This module focuses on using various display modules, such as LCDs, seven-segment displays, and LED arrays, to present real-time data from sensors and systems. Learning how to program these displays allows students to bring their projects to life by visually communicating important data.
Students will use Scratch for Arduino to simulate these projects virtually, combining sensors, actuators, and displays to create interactive systems with real-time feedback.
Key Concepts Covered:
- Introduction to different types of displays (LCD, seven-segment, LED arrays).
- Data visualization and real-time feedback in Arduino projects.
- Programming displays using Scratch for Arduino.
- Simulating display-based projects in a virtual environment.
Learning Outcomes:
- Ability to interface and program various display modules with Arduino.
- Understanding of data visualization principles for real-time sensor data.
- Mastery of integrating sensors, actuators, and displays into a cohesive system.
- Development of advanced interactive projects that provide visual feedback.
Projects:
- Temperature Display System: Real-time temperature readings displayed on an LCD.
- Digital Stopwatch: A seven-segment display project simulating a basic stopwatch.
- LED Temperature Indicator: LEDs change color based on temperature readings (e.g., red for hot, blue for cold).
- Data Logger with LCD: A data logging system displaying real-time sensor data.
Certification Information:
Learners who complete all course assignments and projects will receive a Certificate of Completion for “Introduction to Displays and Data Visualization with Arduino.” This certificate will validate their understanding and proficiency in interfacing Arduino with display modules and using them to visualize data. Students will be able to apply this knowledge in future projects, particularly in fields like IoT and robotics, where data visualization is critical.
Course Features
- Lectures 2
- Quizzes 0
- Duration 35 hours
- Skill level All levels
- Language English
- Students 27
- Assessments Yes