This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree.
Project Planning and Machine Learning
Project Planning and Machine Learning
This course is part of Developing Industrial Internet of Things Specialization
Instructor: David Sluiter
8,152 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(106 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 17 hours
Learn at your own pace
Build toward a degree
What you'll learn
How to staff, plan and execute a project.
How to build a bill of materials for a product.
How to calibrate sensors and validate sensor measurements.
How hard drives and solid state drives operate.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 quizzes
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Developing Industrial Internet of Things Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
In this module I share with you my experience in product planning, staffing and execution. You will perform a product tear down, write a paper about your tear down and build a bill of materials (BOM) for that product.
What's included
12 videos2 readings1 quiz1 peer review1 discussion prompt
In this module you will learn about sensors, and in this case, a temperature sensor. You will learn how to calibrate and then validate that a temperature sensor is producing accurate results. We will study how data is stored on hard drives and solid state drives. We will take a brief look at file systems used to store large data sets.
What's included
16 videos1 quiz
In this module we look at machine learning (ML), what it is and how it works. We take a look at a couple supervised learning algorithms and 1 unsupervised learning algorithm. No coding is required of you. Instead I provide working source code to you so you can play around with these algorithms. I wrap up by providing some examples of how ML can be used in the IIoT space.
What's included
22 videos1 quiz
In this module you will learn about big data and why we want to study it. You will learn about issues that can arise with a data set and the importance of properly preparing data prior to a ML exercise.
What's included
19 videos1 quiz
Instructor
Instructor ratings
4.7 (25 ratings)Offered by
Recommended if you're interested in Design and Product
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Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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4.7
106 reviews
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Showing 3 of 106
M
5
Reviewed on Feb 26, 2022
Brilliant course! A must for all the budding IoT professionals. Thanks Prof David, The University of Colorado and Coursera.
AB
4
Reviewed on Apr 1, 2019
quizzes can be tougher.
BS
5
Reviewed on May 7, 2023
Excellent course, great introduction to this topic with some nice examples.
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Frequently asked questions
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:
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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.
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