This course is part of Real-Time Embedded Systems.
This comprehensive course provides an in-depth exploration of real-time embedded systems theory and implementation. Students learn mathematical models for scheduling policies, feasibility analysis, and practical implementation using Linux systems. The course covers rate monotonic theory, dynamic priority scheduling, and synchronization methods while emphasizing hands-on programming with POSIX real-time extensions. Through theoretical foundations and practical applications, students gain expertise in designing and analyzing real-time systems.
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English
What you'll learn
Master rate monotonic theory and mathematical models
Analyze and implement fixed and dynamic priority scheduling
Design multi-service systems using POSIX real-time extensions
Handle synchronization and priority inversion challenges
Develop skills in timing analysis and feasibility determination
Implement real-time services on Linux systems
Skills you'll gain
This course includes:
10.7 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
The course provides a comprehensive study of real-time embedded systems theory and analysis, focusing on scheduling policies and feasibility determination. It covers mathematical derivations of rate monotonic models, fixed and dynamic priority scheduling, and practical implementation using Linux and POSIX real-time extensions. Students learn through theoretical discussions, hands-on programming assignments, and real-world case studies, including analysis of the Mars Pathfinder mission. The curriculum emphasizes both theoretical understanding and practical application using tools like Cheddar for timing analysis.
Real-Time Scheduling and Rate Monotonic Least Upper Bound Derivation
Module 1 · 18 Hours to complete
Service Design Feasibility Analysis Practice and Methods of Implementation
Module 2 · 19 Hours to complete
Dynamic priority Earliest Deadline First and Least Laxity First
Module 3 · 9 Hours to complete
Synchronization and Bounded vs. Unbounded Blocking
Module 4 · 13 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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