Real-Time Embedded Systems Concepts and Practices
University of Colorado Boulder via Coursera
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Overview
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This course can also be taken for academic credit as ECEA 5315, part of CU Boulder’s Master of Science in Electrical Engineering degree.
Course Description: In this course, students will design and build a microprocessor-based embedded system application using a real-time operating system or RT POSIX extensions with Embedded Linux. The course focus is on the process as well as fundamentals of integrating microprocessor-based embedded system elements for digital command and control of typical embedded hardware systems.
Lab Description: The course requires the student to install embedded Linux on the Raspberry Pi ARM A-Series System-on-Chip processor. This course must be completed using a Raspberry Pi as an embedded system (headless) not a PC running Linux. You will however find Linux as a useful host development system or Windows with an SSH terminal access tool such as Putty, MobaXterm, or equivalent.
Syllabus
- Exploration of RT Challenges and Concepts
- This module gives an introduction to real-time theory , challenges faced in designing real-time systems and scheduling policies implemented while comparing the Linux POSIX real-time threads to RTOS and MFE systems.
- Quality of Service Theory from Best Effort to Hard Real-Time
- This module describes the utility curves used for analysis of real-time systems along with Rate Monotonic Scheduling Policy and its Least Upper Bound Condition. It also describes the absolute time and date standards which are critical parameters for real-time services.
- Scheduling and Concept of Real-Time Services
- This module covers the methods of sequencing of service requests along with software scheduling and real-time scheduling policies.
- Overview of Real-time Hardware Architectures and Software Stacks
- This module discusses the use of multi core microprocessors for real-time applications and gives an overview of RTOS Options (Open and Proprietary) and OS with POSIX Real-Time Extensions for real-time systems.
Taught by
Sam Siewert