About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 9 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English
User
Learners taking this Course are
  • Engineers
  • Machine Learning Engineers
  • Software Engineers
  • Data Engineers
  • Researchers
User
Learners taking this Course are
  • Engineers
  • Machine Learning Engineers
  • Software Engineers
  • Data Engineers
  • Researchers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 9 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

SystemC, Trimble Engineering Guest Speakers

20 videos (Total 127 min), 4 readings, 1 quiz
20 videos
Segment 1 - SystemC 16m
Segment 2 - SystemC 213m
Segment 3 - SystemC: Example Baggage Handling System6m
Segment 4 - Explanation of Rotary Shaft Encoders5m
Segment 5 - Rotary Shaft Encoder use in Paper Cutters8m
Segment 6 - SystemC Examples13m
Segment 7 - Baggage Handling System Model Structure8m
Segment 8 - Trimble - Introduction9m
Segment 9 - Trimble - Machine Grade Control, Production Study5m
Segment 10 - Trimble - Machine Types16m
Segment 11 - Trimble - Excavator7m
Segment 12 - Trimble - Communication Protocols9m
Segment 13 - Trimble - Site Gateway2m
Segment 14 - Trimble - Peer-to-Peer System2m
Segment 15 Trimble - Predictive Analytics1m
Segment 16 - Trimble - Security59s
Segment 17 - Trimble - UAVs2m
Segment 18 - Trimble - Augmented Reality2m
Segment 19 - Trimble - Hololens4m
4 readings
Access to Course Lecture Slides10m
Access to SystemC Example Code10m
Access to Trimble Presentation Slides10m
A Note from the Instructor5m
1 practice exercise
Quiz 112m
Week
2
1 hour to complete

Deep Dive: Automotive and Transportation

17 videos (Total 58 min), 1 reading, 1 quiz
17 videos
Segment 1 Automotive 15m
Segment 2 - Automotive 26m
Segment 3 - Automotive 32m
Segment 4 - Automotive 4 - Waze1m
Segment 5 - Automotive 52m
Segment 6 - Automotive 62m
Segment 7 - Trucking7m
Segment 8 - Trucking - Weigh in Motion53s
Segment 9 - Logistics4m
Segment 10 - Trains1m
Segment 11 - Planes 13m
Segment 12 - Planes 23m
Segment 13 - Shipping2m
Segment 14 - Smart Roads3m
Segment 15 - Smart Parking5m
Segment 16 - Summary3m
1 reading
Access to Automotive and Transportation Slides10m
1 practice exercise
Quiz 212m
Week
3
3 hours to complete

Debugging Deeply Embedded Systems, Lauterbach Guest Speaker

14 videos (Total 139 min), 1 reading, 1 quiz
14 videos
Segment 1 - Debug 113m
Segment 2 - Debug 29m
Segment 3 - Debug 39m
Segment 4 - Log Pages10m
Segment 5 - Debugging During Validation10m
Segment 6 - The Importance of Trace2m
Segment 7 - Lauterbach - Introduction10m
Segment 8 - Lauterbach - JTAG11m
Segment 9 - Lauterbach - Tracing10m
Segment 10 - Lauterbach - Types of Trace Output + Viewing Traces23m
Segment 11 - Lauterbach - Looking Back in Time10m
Segment 12 - Lauterbach - Timing and Performance Analysis9m
Segment 13 - Lauterbach - Code Coverage6m
1 reading
Access to Lauterbach Slides10m
1 practice exercise
Quiz 312m
Week
4
2 hours to complete

Promoting Technical Ideas, Learning from Failures

11 videos (Total 77 min), 2 readings, 1 quiz
11 videos
Segment 1 - Promoting Technical Ideas - Patents19m
Segment 2 - Promoting Technical Ideas within a Company4m
Segment 3 - Learning from Failures4m
Segment 4 - Learning from Failures - From My Past11m
Segment 5 - Learning from Failures - Sparkfun5m
Segment 6 - Learning from Failures - Kickstarter CST-01 Watch7m
Segment 7 - Learning from Failures - Toyota9m
Segment 8 - 20 Reasons Startups Fail8m
Segment 9 - Assessing Business Risks2m
Concluding Remarks29s
2 readings
Access to Top 20 Reasons Why Startups Fail10m
List of IIoT Companies10m
1 practice exercise
Quiz 412m

Instructor

Avatar

David Sluiter

Professor Adjunct
Electrical, Computer, and Energy Engineering

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.

About University of Colorado Boulder

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....

About the Developing Industrial Internet of Things Specialization

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

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.