Modeling and Debugging Embedded Systems
By External Provider
About this 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://www.coursera.org/degrees/msee-boulder
What you will learn
- Describe SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios.
- Articulate the range of embedded systems within the Automotive and Transoprtion market segment.
- Learn techniques for debugging embedded systems.
- Learn approaches for promoting ideas within your company, and learn from other people's failures.