Learner Reviews & Feedback for Modeling and Debugging Embedded Systems by University of Colorado Boulder
4.6
stars
230 ratings
About the Course
In this course, to study hypothetical scenarios, students learn about Digital Twins, using SystemC to model physical systems highly instrumented with sensors and actuators. We also look deeper into the Automotive and Transportation market segment, studying technologies and opportunities in that market space. Students learn techniques for debugging deeply embedded systems, then we examine technical idea promotion within a company, and learning from failures.
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://newyearshopping.top/degrees/msee-boulder...
Top reviews
BB
Jul 10, 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
RP
Apr 13, 2020
Trace problems in embedded systems, getting new products to markets, reasons of start up failures, examples of embedded systems, modelling and debugging
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