Real-Time Project for Embedded Systems
This course is part of Real-Time 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 Real-Time Embedded Systems 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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What you'll learn
Decompose real-time problems into software modules and POSIX threads
Analyze service execution time, request periods, and completion deadlines
Design Linux-based machine vision synchronization systems
Implement real-time scheduling and system timing analysis
Verify system performance through timestamp logs and image processing
Skills you'll gain
This course includes:
6.5 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course focuses on building real-time embedded systems using machine vision and multiple real-time services. Students learn to synchronize Linux systems with external clocks through observation, analyze scheduling jitter, and mitigate latency accumulation. The course includes hands-on projects involving webcam integration, frame capture, and system synchronization, with emphasis on practical implementation and performance analysis.
RTES Project Goals and Objectives
Module 1 · 10 Hours to complete
Completion of RTES Project and Preliminary Functional Testing
Module 2 · 8 Hours to complete
Timing Analysis — Comparison of Actual to Predicted Service Time Events
Module 3 · 9 Hours to complete
Methods for System Verification and Validation of RTES project
Module 4 · 9 Hours to complete
Final Project Review and Presentation
Module 5 · 10 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Real-Time Embedded Systems
Instructor
Associate Professor Adjunct
Dr. Sam Siewert is an Associate Professor Adjunct at the University of Colorado Boulder, where he specializes in embedded systems and real-time computing. He holds a Bachelor of Science in Aerospace and Mechanical Engineering from the University of Notre Dame and both a Master’s and Ph.D. in Computer Science from the University of Colorado Boulder. With over 24 years of experience in the computer engineering industry, Dr. Siewert has contributed to NASA space exploration programs, including the Spitzer Space Telescope and various deep space initiatives. His commercial work has encompassed I/O chip firmware architecture and scalable systems design for high-performance computing.At CU Boulder, Dr. Siewert teaches several courses focused on real-time embedded systems, including Real-Time Embedded Systems Concepts and Practices and Real-Time Mission-Critical Systems Design. His research interests include autonomous systems, sensor fusion, and machine vision, and he has published numerous papers on these topics. Additionally, he has held faculty positions at Embry-Riddle Aeronautical University and California State University, Chico, where he continues to influence the field of embedded systems through education and research. Dr. Siewert's extensive background in both academia and industry enables him to provide students with valuable insights into the practical applications of embedded systems technology.
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