University of Colorado Boulder
Project Planning and Machine Learning
University of Colorado Boulder

Project Planning and Machine Learning

This course is part of Developing Industrial Internet of Things Specialization

Taught in English

Some content may not be translated

David Sluiter

Instructor: David Sluiter

7,613 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(106 reviews)

Intermediate level
Some related experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards 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

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(106 reviews)

Intermediate level
Some related experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

See how employees at top companies are mastering in-demand skills

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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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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)
David Sluiter
University of Colorado Boulder
4 Courses33,564 learners

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Recommended if you're interested in Design and Product

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4.7

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