Modeling and Debugging Embedded Systems
Course provided by Model Institute of Engineering & Technology
6 modules
Explore the fundamentals of Cyber Physical Systems
5 Level NCrF
National Credit Framework
60 Hours
Flexible Learning
Beginner Level
No prior experience required
Certificate Program
02 Credits
Course Overview
This course introduces learners to the integration of Digital Twins with embedded systems, emphasizing practical applications in industries such as automotive and transportation. Participants develop embedded system models using SystemC, simulate behavioral components, and apply real-time debugging techniques for sensor-driven software. Hands-on lab sessions with Awadh CPS Lab kits enable learners to build, test, and troubleshoot basic sensor-actuator systems. The program equips students with the skills to design, analyze, and implement embedded systems enhanced by digital twin technology.
Key Learning Highlights
Understand the concept and relevance of Digital Twins in embedded systems.
Develop and simulate embedded system models using SystemC.
Debug real-time, sensor-driven embedded software effectively.
Explore industry applications in automotive and transportation sectors.
Build and test sensor-actuator systems using Awadh CPS Lab kits.
Tools & Platform Used
Learning Outcome
By the end of this course, learners will be able to:
Explain the principles of Digital Twins and their application to embedded systems.
Model and simulate embedded systems using SystemC.
Apply debugging techniques for real-time, sensor-driven software.
Analyze and implement embedded solutions in industrial contexts.
Construct and troubleshoot basic sensor-actuator systems using lab kits.
Master the course with just 6 Modules
This course begins with an introduction to embedded systems and Digital Twins, covering core concepts and industrial use cases. Learners progress to SystemC-based modeling of embedded systems, focusing on process representation, concurrency, and time management. The curriculum then emphasizes embedded debugging techniques using breakpoints, watchpoints, GDB, and logging. Students explore cyber-physical modeling in automotive systems, including ECUs, sensors, and safety-critical debugging practices. Real-world case studies highlight common debugging failures and lessons learned. The course concludes with technical idea communication, guiding learners on promoting innovations and driving technology adoption within organizations.
Introduction to Embedded Systems and Digital Twins
- Core concepts of embedded systems and Digital Twins
- Industrial use cases in automotive, transportation, and IoT
- Understanding the relevance of Digital Twins in system design
System-level Modeling with SystemC
- Process modeling, concurrency, and simulation time management
- Representation of hardware-software interactions
- Developing accurate system-level models for verification
Embedded Debugging
- Debugging techniques: breakpoints, watchpoints, and logging
- Using GDB for real-time fault detection
- Troubleshooting sensor-driven embedded software effectively
Cyber-Physical Modeling in Automotive Systems
Modeling ECUs and integrating automotive sensors
Safety-critical debugging practices and real-time monitoring
Simulation of embedded systems in automotive environments
Case Studies on Debugging Failures and Lessons Learned
- Analysis of real-world debugging failures
- Identifying root causes and system-level issues
- Lessons learned for improving embedded system reliability
Technical Idea Communication
Strategies for promoting technical ideas internally
Effective documentation and presentation of solutions
Driving technology adoption within organizations
Roles
- Embedded Systems Engineer
- Digital Twin Developer
- Automotive Systems Engineer
- Cyber-Physical Systems (CPS) Developer
- IoT/Edge Computing Engineer
- Embedded Software Developer
