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This course is part of Developing Industrial Internet of Things Specialization
Instructor: David Sluiter
10,671 already enrolled
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(121 reviews)
Recommended experience
Intermediate level
Aimed at working engineers in embedded systems for the Industrial IoT. A BSEE, computer architecture, and C/C++ is useful.
(121 reviews)
Recommended experience
Intermediate level
Aimed at working engineers in embedded systems for the Industrial IoT. A BSEE, computer architecture, and C/C++ is useful.
Create a plan to staff and execute a project to a schedule.
Create and calibrate sensor systems. Describe how hard drives and solid state drives operate. Describe how file systems for big data work.
Describe the basic operation of today's machine learning algorithms.
Describe the basics of big data analytics.
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Products don't design and build themselves. In this course, students learn how to staff, plan and execute a project to build a product. We explore sensors, which produce tremendous volumes of data, and then storage devices and file systems for storing big data. Finally, we study machine learning and big data analytics.
This course can be taken for academic credit as part of CU Boulder’s Master of Science in Electrical Engineering (MS-EE) degree offered on the Coursera platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Electrical Engineering: https://www.coursera.org/degrees/msee-boulder
In this module I share with you my experience in product planning, staffing and execution. You will learn about the importance of first defining requirements, second performing the design work first, and then lastly writing the code.
8 videos2 readings1 assignment1 discussion prompt
In this module you will learn about sensors, and specifically a temperature sensor. You will learn how to calibrate a temperature sensor system, which helps you measure and improve the accuracy of that system. You will learn how data is stored on hard drives and solid state drives. You will learn about 3 file systems that are used to store large data sets, which are often referred to as "Big Data".
7 videos1 assignment
In this module we look at machine learning (ML), what it is and how it works. You will learn about several 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 Industrial IoT space.
10 videos10 readings1 assignment
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 Machine Learning exercise.
9 videos4 readings1 assignment
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
CU Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
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University of Colorado Boulder
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University of Colorado Boulder
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Specialization
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
University of Colorado Boulder
Degree · 2 years
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
121 reviews
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Reviewed on May 28, 2022
Awsomw Materials and Explanations. Dedicatedly you ve to preparare if you wants to improvizing yourself. Thanks by Sam.
Reviewed on Jul 6, 2020
Very well designed and delivered Course. Thank you for the opportunity. Special Thanks to Prof Dave Sluiter
Reviewed on Aug 10, 2021
It's very knowledgable opportunity for me to learn deeply via good platform coursera.
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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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