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
Segment 13 - Smart Roads
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Reviews
4.6 (148 ratings)
Jun 8, 2021
The course is interesting and the instructor provides an excellent instruction. the contents are very comprehensive and understandable.
Jun 12, 2020
Great course. I learn more knowledge IIot and the role of the embedded system in the industry aspects
From the lesson
Deep Dive: Automotive and Transportation
In this module we will take a deeper look into the Automotive and Transportation sector, as this sector is poised for large growth. If you’ll remember back to course 1 where we looked at market size opportunities, and saw there that the Automotive and Transportation sector was estimated to grow to 154 billion US dollars, at a CAGR of 30%.
Taught By
David Sluiter
Professor Adjunct
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