This course is part of the Developing Industrial Internet of Things Specialization

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David Sluiter

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Part of the Master of Science in Electrical Engineering degree
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Developing Industrial Internet of Things SpecializationUniversity of Colorado Boulder

About this Course

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This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree.
This is part 3 of the specialization. In this course students will learn :
  * About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios
  * About Trimble Engineering's embedded systems for heavy equipment automation
  * A deeper understanding of embedded systems in the Automotive and Transportation market segment
  * How to debug deeply embedded systems
  * About Lauterbach's TRACE32 debugging tools
  * How to promote technical ideas within a company
  * What can be learned from studying engineering failures

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 3 of 3 in the

Developing Industrial Internet of Things Specialization

Intermediate Level

Approx. 7 hours to complete

English

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What you will learn

About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios.
About Trimble Engineering's embedded systems for heavy equipment automation.
A deeper understanding of embedded systems in the Automotive and Transoprtion market segment.
How to debug deeply embedded systems.

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 3 in the

Developing Industrial Internet of Things Specialization

Intermediate Level

Approx. 7 hours to complete

English

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

Try Coursera for Business

Instructor

Instructor rating

4.57/5 (39 Ratings)

David Sluiter

Professor Adjunct

Electrical, Computer, and Energy Engineering

28,985 Learners

4 Courses

Offered by

University of Colorado Boulder

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Electrical Engineering from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

SystemC, Trimble Engineering Guest Speakers

3 hours to complete

20 videos (Total 127 min), 2 readings, 1 quiz

20 videos

Introduction48sSegment 1 - SystemC 16mSegment 2 - SystemC 213mSegment 3 - SystemC: Example Baggage Handling System6mSegment 4 - Explanation of Rotary Shaft Encoders5mSegment 5 - Rotary Shaft Encoder use in Paper Cutters8mSegment 6 - SystemC Examples13mSegment 7 - Baggage Handling System Model Structure8mSegment 8 - Trimble - Introduction9mSegment 9 - Trimble - Machine Grade Control, Production Study5mSegment 10 - Trimble - Machine Types16mSegment 11 - Trimble - Excavator7mSegment 12 - Trimble - Communication Protocols9mSegment 13 - Trimble - Site Gateway2mSegment 14 - Trimble - Peer-to-Peer System2mSegment 15 Trimble - Predictive Analytics1mSegment 16 - Trimble - Security59sSegment 17 - Trimble - UAVs2mSegment 18 - Trimble - Augmented Reality2mSegment 19 - Trimble - Hololens4m

2 readings

Access to Course Resources10mA Note from the Instructor5m

1 practice exercise

Module 1 Quiz12m

Week2

Week 2

1 hour to complete

Deep Dive: Automotive and Transportation

1 hour to complete

16 videos (Total 55 min)

16 videos

Introduction2mSegment 1 Automotive 15mSegment 2 - Automotive 26mSegment 3 - Automotive 32mSegment 4 - Automotive 4 - Waze1mSegment 5 - Automotive 52mSegment 6 - Automotive 62mSegment 7 - Trucking7mSegment 8 - Trucking - Weigh in Motion53sSegment 9 - Logistics4mSegment 10 - Trains1mSegment 11 - Planes3mSegment 12 - Shipping2mSegment 13 - Smart Roads3mSegment 14 - Smart Parking5mSegment 15 - Summary3m

1 practice exercise

Module 2 Quiz12m

Week3

Week 3

2 hours to complete

Debugging Deeply Embedded Systems, Lauterbach Guest Speaker

2 hours to complete

13 videos (Total 129 min)

13 videos

Introduction38sSegment 1 - Debug 113mSegment 2 - Debug 29mSegment 3 - Log Pages10mSegment 4 - Debugging During Validation10mSegment 5 - The Importance of Trace2mSegment 6 - Lauterbach - Introduction10mSegment 7 - Lauterbach - JTAG11mSegment 8 - Lauterbach - Tracing10mSegment 9 - Lauterbach - Types of Trace Output + Viewing Traces23mSegment 10 - Lauterbach - Looking Back in Time10mSegment 11 - Lauterbach - Timing and Performance Analysis9mSegment 12 - Lauterbach - Code Coverage6m

1 practice exercise

Module 3 Quiz12m

Week4

Week 4

2 hours to complete

Promoting Technical Ideas, Learning from Failures

2 hours to complete

11 videos (Total 77 min), 1 reading, 1 quiz

11 videos

Introduction1mSegment 1 - Promoting Technical Ideas - Patents19mSegment 2 - Promoting Technical Ideas within a Company4mSegment 3 - Learning from Failures4mSegment 4 - Learning from Failures - From My Past11mSegment 5 - Learning from Failures - Sparkfun5mSegment 6 - Learning from Failures - Kickstarter CST-01 Watch7mSegment 7 - Learning from Failures - Toyota9mSegment 8 - 20 Reasons Startups Fail8mSegment 9 - Assessing Business Risks2mConcluding Remarks29s

1 reading

List of IIoT Companies10m

1 practice exercise

Module 4 Quiz12m

Reviews

4.6

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5 stars
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TOP REVIEWS FROM MODELING AND DEBUGGING EMBEDDED SYSTEMS

by PPMay 28, 2020

good learning in course very useful technical is speak

by BBJul 9, 2020

The course is very useful for the model and finding error in the system gained more information about the course in modelling and debugging embedded system

by TNJun 8, 2021

The course is interesting and the instructor provides an excellent instruction. the contents are very comprehensive and understandable.

by SAAug 1, 2021

The course is only a brief introduction. I hope that the program evolve to go through deep details.

View all reviews

About the Developing Industrial Internet of Things Specialization

The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.

In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.

Developing Industrial Internet of Things

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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Modeling and Debugging Embedded Systems

About this Course

What you will learn