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Modeling and Debugging Embedded Systems

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.

4.6

(181 ratings)

8,617 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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Modeling and Debugging Embedded Systems

This course includes

7 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

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

SystemC
Embedded Systems
Debugging
C++
Automotive Systems
Industrial IoT
Hardware Modeling
System Validation
JTAG
Trace Analysis

This course includes:

6.4 Hours PreRecorded video

4 quizzes

Access on Mobile, Desktop, Tablet

FullTime access

Shareable certificate

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Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

David Sluiter
David Sluiter

4.6 rating

160 Reviews

36,058 Students

4 Courses

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.

Modeling and Debugging Embedded Systems

This course includes

7 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.