Master SystemC modeling, debugging techniques, and industry applications in automotive and heavy equipment embedded systems.
Master SystemC modeling, debugging techniques, and industry applications in automotive and heavy equipment embedded systems.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Developing Industrial Internet of Things Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Create models of cyber-physical systems using SystemC
Implement debugging techniques for embedded systems
Analyze automotive and transportation embedded applications
Understand industrial IoT applications in heavy equipment
Master trace-based debugging and system validation
Skills you'll gain
This course includes:
6.4 Hours PreRecorded video
4 quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This comprehensive course explores advanced topics in embedded systems modeling and debugging. Students learn SystemC for cyber-physical system modeling, study real-world applications through Trimble Engineering's heavy equipment automation systems, and master debugging techniques using Lauterbach's TRACE32 tools. The course covers automotive applications, transportation systems, and strategies for promoting technical ideas within organizations.
SystemC, Trimble Engineering Guest Speakers
Module 1 · 2 Hours to complete
Deep Dive: Automotive and Transportation
Module 2 · 1 Hours to complete
Debugging Deeply Embedded Systems, Lauterbach Guest Speaker
Module 3 · 2 Hours to complete
Promoting Technical Ideas, Learning from Failures
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Adjunct Professor
David Sluiter is an Adjunct Professor in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder, where he has been teaching since the Fall of 2016. He specializes in logic design and has developed courses such as "Developing the Industrial Internet of Things" for the Embedded Systems Engineering Program. With a Bachelor of Science in Electrical and Computer Engineering from Michigan Technological University, Sluiter brings extensive industry experience to his academic role.Before joining CU Boulder, Sluiter worked in various engineering positions, including designing cache controllers and floating-point units for Sperry Univac's mainframes and developing 3D graphics chips for a graphics company. He played a key role in establishing LSI Logic's first office in Colorado and later contributed to Seagate's development of self-encrypting hard drives and solid-state enterprise drives. His expertise spans physical layout design, Verilog/SystemVerilog programming, logic synthesis, and storage protocols such as SATA, SAS, and PCIe/NVMe. Through his courses on Industrial IoT Markets and Security, Modeling and Debugging Embedded Systems, and Project Planning with Machine Learning, David Sluiter aims to prepare students for the evolving landscape of embedded systems and IoT technology.
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Frequently asked questions
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