Development of Real-Time Systems
Master real-time system development with FreeRTOS, covering scheduling algorithms and practical implementations for embedded systems.
Master real-time system development with FreeRTOS, covering scheduling algorithms and practical implementations for 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 Development of Secure 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.
4.6
(533 ratings)
36,543 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Plan and implement real-time systems with timing guarantees
Master FreeRTOS programming and kernel functionality
Apply various scheduling algorithms in practice
Handle non-periodic jobs in real-time systems
Develop multi-core real-time applications
Skills you'll gain
This course includes:
3.2 Hours PreRecorded video
5 quizzes, 5 peer reviews
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course teaches the development of real-time systems, focusing on timing correctness in embedded applications. Students learn both theoretical foundations and practical implementation using FreeRTOS. The curriculum covers various scheduling methods, including static and dynamic scheduling, handling non-periodic jobs, and multi-core real-time systems. The course combines mathematical proofs with hands-on programming assignments.
Introduction to Real-Time Systems
Module 1 · 3 Hours to complete
Static Scheduling
Module 2 · 3 Hours to complete
Dynamic Scheduling
Module 3 · 3 Hours to complete
Non-Periodic Jobs
Module 4 · 3 Hours to complete
Real-Time Operating Systems
Module 5 · 4 Hours to complete
Fee Structure
Instructor
Farhoud Hosseinpour is a Doctoral Researcher at EIT Digital, where he focuses on advancing knowledge in the field of embedded systems and real-time technologies. His research encompasses several key areas, including "Capstone: Autonomous Runway Detection for IoT," "Development of Real-Time Systems," "Embedded Hardware and Operating Systems," and "Web Connectivity and Security in Embedded Systems." Through these courses, he aims to equip students with the skills necessary to design and implement innovative solutions in the rapidly evolving landscape of Internet of Things (IoT) and embedded systems. Farhoud's work not only contributes to academic research but also prepares students for practical challenges in technology development, emphasizing the importance of security and performance in modern applications.
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4.6 course rating
533 ratings
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