This course is part of the Powering your Home Projects with Raspberry Pi Specialization

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Powering your Home Projects with Raspberry Pi SpecializationJohns Hopkins University

About this Course

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This course on integrating sensors with your Raspberry Pi is course 3 of a Coursera Specialization and can be taken separately or as part of the specialization. Although some material and explanations from the prior two courses are used, this course largely assumes no prior experience with sensors or data processing other than ideas about your own projects and an interest in building projects with sensors. 
This course focuses on core concepts and techniques in designing and integrating any sensor, rather than overly specific examples to copy. This method allows you to use these concepts in your projects to build highly customized sensors for your applications. 

Some of the ideas covered include calibrating sensors and the trade-offs between different mathematical methods of storing and applying calibration curves to your sensors. We also discuss accuracy, precision, and how to understand uncertainty in your measurements. We study methods of interfacing analog sensors with your Raspberry Pi (or other platform) with amplifiers and the theory and technique involved in reducing noise with spectral filters. Lastly, we borrow from the fields of data science, statistics, and digital signal processing, to post-process our data in Python.

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Shareable Certificate

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Coursera Labs

Includes hands on learning projects.

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Course 3 of 4 in the

Powering your Home Projects with Raspberry Pi Specialization

Approx. 8 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 4 in the

Powering your Home Projects with Raspberry Pi Specialization

Approx. 8 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Drew Wilson

Faculty

Whiting School of Engineering - Electrical and Computer Engineering

1,988 Learners

4 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Designing Sensors

This first module gets us all on the same page, no matter how much experience you have with sensors or measurement technology. We'll start by describing a straightforward sensor flow model to help us understand the myriad of sensors available in the world, and which you may later build. Then we'll move into the concepts of accuracy, precision, and uncertainty, which are necessary for understanding the inherent error in any measurement system. This module lays the groundwork for the circuits and examples in later modules.

3 hours to complete

8 videos (Total 113 min)

Week2

Week 2

2 hours to complete

Calibration Methods

2 hours to complete

10 videos (Total 89 min)

10 videos

Introduction to Module 23mCalibration Terminology9mSensor Transfer Functions18mAnalyzing Look-Up Tables in Python12mPiece-Wise Interpolated Calibration Data 1 of 210mPiece-Wise Interpolated Calibration Data 2 of 25mCalibration with Polynomial Fit 1 of 37mCalibration with Polynomial Fit 2 of 312mCalibration with Polynomial Fit 3 of 38mSummary of Module 21m

1 practice exercise

Module 2 Quiz30m

Week3

Week 3

2 hours to complete

Interface Circuits

2 hours to complete

9 videos (Total 118 min)

Week4

Week 4

1 hour to complete

Introduction to Signal Processing

1 hour to complete

6 videos (Total 54 min)

About the Powering your Home Projects with Raspberry Pi Specialization

This Specialization is crafted to take beginners in this field from start to building functional prototypes, home projects, and new creations with custom peripheral hardware and a Raspberry Pi. If you've never touched a Raspberry Pi, it's ok. Course 1 will get you started, and by Course 4 you'll be designing and fabricating printed circuit boards for your own custom add-on hardware to make your projects come to life and be truly unique.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Using Sensors With Your Raspberry Pi

About this Course