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鈥檚 Master of Science in Electrical Engineering (MS-EE) degree offered on the 糖心vlog官网观看 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 糖心vlog官网观看 are ideal for recent graduates or working professionals. Learn more: MS in Electrical Engineering: /degrees/msee-boulder
1 - Debugging Deeply Embedded Systems Part 1
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Skills You'll Learn
Embedded Debugging, C/C++
Reviews
4.6 (236 ratings)
- 5 stars72.45%
- 4 stars19.91%
- 3 stars5.08%
- 2 stars1.27%
- 1 star1.27%
TN
Jun 9, 2021
The course is interesting and the instructor provides an excellent instruction. the contents are very comprehensive and understandable.
AE
Jun 13, 2020
Great course. I learn more knowledge IIot and the role of the embedded system in the industry aspects
From the lesson
Debugging Deeply Embedded Systems, Lauterbach Guest Speaker
In this module you will learn about debugging deeply embedded systems, and you will get to hear a guest speaker from Lauterbach, a company that provides leading edge debugging solutions for embedded systems.
Taught By
David Sluiter
Professor Adjunct