Using Sensors With Your Raspberry Pi
Master Raspberry Pi sensor integration, from calibration to signal processing. Learn to build custom sensor projects with real-time data.
Master Raspberry Pi sensor integration, from calibration to signal processing. Learn to build custom sensor projects with real-time data.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Raspberry Pi Projects Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Design and integrate custom sensors with Raspberry Pi
Implement sensor calibration and uncertainty analysis
Build interface circuits for analog sensors
Apply digital signal processing techniques
Reduce noise using spectral filters and statistical methods
Skills you'll gain
This course includes:
6.2 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers the integration of sensors with Raspberry Pi, focusing on core concepts and techniques rather than specific examples. Students learn about sensor calibration, accuracy measurement, interface circuits, and data processing. The curriculum includes hands-on experience with analog sensors, amplifier circuits, and noise reduction techniques using Python. Special emphasis is placed on real-world applications and customizable sensor projects.
Designing Sensors
Module 1 · 2 Hours to complete
Calibration Methods
Module 2 · 1 Hours to complete
Interface Circuits
Module 3 · 2 Hours to complete
Introduction to Signal Processing
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Innovating Electrical Engineering Education at Johns Hopkins University
Drew Wilson is an accomplished electrical engineer and faculty member at Johns Hopkins University, bringing over 20 years of experience in developing groundbreaking projects for high-impact government research programs. Known for his hands-on teaching style, Drew emphasizes practical understanding, enabling students to move beyond conventional projects and transform their innovative ideas into reality. His approach is characterized by a scrappy mindset and straightforward explanations, making complex concepts accessible to learners at all levels. Drew teaches a variety of courses focused on Raspberry Pi technology, including custom project design and hardware development, fostering creativity and technical skills among his students. His commitment to education not only empowers individuals to pursue their unique projects but also cultivates a new generation of engineers capable of tackling real-world challenges with ingenuity and confidence.
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Frequently asked questions
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