Real-Time Embedded Systems Concepts and Practices
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
Design and implement real-time embedded systems using rate monotonic theory and analysis
Develop applications with POSIX threads for predictable timing and scheduling
Understand the differences between Linux user space and kernel space for real-time applications
Implement timing-critical services using software interval timers and priority preemptive scheduling
Analyze system feasibility using rate monotonic scheduling theories and tools
Optimize multi-core processor usage through thread affinity and appropriate architecture selection
Skills you'll gain
This course includes:
9.23 Hours PreRecorded video
11 assignments
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There are 4 modules in this course
This comprehensive course teaches the fundamentals of real-time embedded system design, focusing on both theoretical principles and practical implementation. Students learn rate monotonic theory, analysis, and practices for developing reliable embedded systems that can meet strict timing requirements. The curriculum covers the implementation of real-time services using POSIX threads, exploring the differences between Linux user space and kernel space applications. Through hands-on projects using Raspberry Pi hardware with embedded Linux, students design and build microprocessor-based embedded system applications for digital command and control. The course addresses critical concepts such as quality of service theory, scheduling policies, sequencing service requests, and timing analysis. Students also explore real-time hardware architectures and software stacks, including multi-core configurations. By completing programming assignments, timing analyses, and peer reviews, students develop practical skills in building real-time applications that can be applied to various industries requiring deterministic computing performance.
Exploration of RT Challenges and Concepts
Module 1 · 12 Hours to complete
Quality of Service Theory from Best Effort to Hard Real-Time
Module 2 · 13 Hours to complete
Scheduling and Concept of Real-Time Services
Module 3 · 10 Hours to complete
Overview of Real-time Hardware Architectures and Software Stacks
Module 4 · 14 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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