Boost your career with real-time systems expertise. Master real-time theory, methods of analysis and design, and put them into practice.

3.4

étoiles

21 évaluations

Sam Siewert

1 878 déjà inscrits

Offert par

Spécialisation Real-Time Embedded SystemsUniversité du Colorado à Boulder

Ce que vous allez apprendre

Rate Monotonic theory and policies

Methods of Rate Monontoic analysis

Real-time system design techniques

Engineering principles for allocating functionality and services to hardware, firmware or software implementation

Compétences que vous acquerrez

Asymmetric Multi-core Processing
Fault Tolerance
Real-Time Operating System (RTOS)
Rate Monotonic Analysis
Linux On Embedded Systems
Multi-Core Processors
RM LUB (Rate Monotonic Least Upper Bound)
C Programming
Posix Threads
EDF (Earliest Deadline First)
Priority Ceiling Protocol
Rate Monotonic Theory

À propos de ce Spécialisation

6 299 consultations récentes

The Real-Time Embedded Systems specialization is a series of four course taking you from a beginning practitioner, to a more advanced real-time system analyst and designer. Knowledge and experience gained on hard to master topics such as predictable response services, when to allocate requirements to hardware or software, as well as mission critical design will enhance your engineering talent. You will gain experience building a simple, but real, system project with real-time challenges, that will boost your confidence. The hands-on, at home, project hardware is affordable, widely available, and quick-time-to market methods leverage Linux real-time extensions, open source RTOS (Real-Time Operating System), as well as tried and true cyclic executives. After you complete all four courses in the series, you can consider yourself an intermediate to more advanced real-time system practitioner. This knowledge is invaluable for medical, aerospace, transportation, energy, digital entertainment, telecommunications, and other exciting embedded career options. The series stresses hands-on practice and assessment of your learning progress, not only based on knowledge acquisition, but by teaching you to put theory into practice and how to evaluate design options and make optimal choices. The unique final project allows you to see real-time challenges with your eyes, to debug interactively, and build a simple at-home detection, tracking and synchronization system.

Projet d'apprentissage appliqué

Project work includes a series of real-time processing and concurrency exercises along with analysis and design in the first two courses. The third course provides experience with mission critical components like error correction code memory, flash file systems, and redundant hardware. In the final course, you put all of the practice together into your own design to build a real-time system that you can test at home. The project covers topics including: concurrency, Linux kernel modules, machine vision, co-processors, and correct function with timing constraints. You will use specific real-time extensions to Linux and compare advantages and disadvantages of Linux to more traditional RTOS, cyclic executive, and FPGA options. The experience you gain can be used to launch additional exploration of hybrid FPGA systems (e.g. Altera and Xilinx), GP-GPU (e.g. NVIDIA), and multi-core scale-up (e.g. ARM A and R-Series) as well as MCU scale-down solutions (ARM M-Series microprocessors).

Certificat partageable

Obtenez un Certificat lorsque vous terminez

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Planning flexible

Définissez et respectez des dates limites flexibles.

Niveau intermédiaire

Good C programming skills and some prior experience with digital systems and/or operating systems is a plus.

Approximativement 5 mois pour terminer

Rythme recommandé de 12 heures/semaine

Anglais

Sous-titres : Anglais, Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Espagnol

Certificat partageable

Obtenez un Certificat lorsque vous terminez

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Planning flexible

Définissez et respectez des dates limites flexibles.

Niveau intermédiaire

Good C programming skills and some prior experience with digital systems and/or operating systems is a plus.

Approximativement 5 mois pour terminer

Rythme recommandé de 12 heures/semaine

Anglais

Sous-titres : Anglais, Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Espagnol

Comment fonctionne la Spécialisation

Suivez les cours

Une Spécialisation Coursera est une série de cours axés sur la maîtrise d'une compétence. Pour commencer, inscrivez-vous directement à la Spécialisation ou passez en revue ses cours et choisissez celui par lequel vous souhaitez commencer. Lorsque vous vous abonnez à un cours faisant partie d'une Spécialisation, vous êtes automatiquement abonné(e) à la Spécialisation complète. Il est possible de terminer seulement un cours : vous pouvez suspendre votre formation ou résilier votre abonnement à tout moment. Rendez-vous sur votre tableau de bord d'étudiant pour suivre vos inscriptions aux cours et vos progrès.

Projet pratique

Chaque Spécialisation inclut un projet pratique. Vous devez réussir le(s) projet(s) pour terminer la Spécialisation et obtenir votre Certificat. Si la Spécialisation inclut un cours dédié au projet pratique, vous devrez terminer tous les autres cours avant de pouvoir le commencer.

Obtenir un Certificat

Lorsque vous aurez terminé tous les cours et le projet pratique, vous obtiendrez un Certificat que vous pourrez partager avec des employeurs éventuels et votre réseau professionnel.

Cette Spécialisation compte 4 cours

Cours1

Cours 1

Real-Time Embedded Systems Concepts and Practices

3.5

étoiles

29 évaluations

•

14 avis

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.

Cours2

Cours 2

Real-Time Embedded Systems Theory and Analysis

This course can also be taken for academic credit as ECEA 5316, part of CU Boulder’s Master of Science in Electrical Engineering degree.

This course provides an in-depth and full mathematical derivation and review of models for scheduling policies and feasibility determination by hand and with rate monotonic tools along with comparison to actual performance for real-time scheduled threads running on a native Linux system. By the end of this course the learner will be able to full derive the fixed priority rate monotonic least upper bound for feasibility as well as justifying the rate monotonic policy and will be able to compare to dynamic priority scheduling including earliest deadline first and least laxity policies. At the end of this course learners will be able to fully derive and explain the math model for the rate monotonic least upper bound as well as performing timing diagram analysis for fixed and dynamic priority software services. Tools to provide analysis will be learned (Cheddar) to automate timing analysis and to compare to actual performance. Specific objectives include: ● Rate monotonic theory (complete math models) ● Differences between fixed priority rate monotonic policy and dynamic priority earliest deadline first and least laxity policies ● Scheduling theory and practice writing code for multi-frequency executives, priority preemptive RTOS services, and real-time threaded services on traditional operating systems (Linux) ● Building a simple Linux multi-service system using POSIX real-time extensions on Raspberry Pi 3b using sequencing and methods to log and verify agreement between theory and practice ● Timing diagram generation and analysis using Cheddar

Cours3

Cours 3

Real-Time Mission-Critical Systems Design

This course can also be taken for academic credit as ECEA 5317, part of CU Boulder’s Master of Science in Electrical Engineering degree.

Upon completion of this course the learner will know the difference between systems you can bet your life on (mission critical) and those which provide predictable response and quality of service (reliable). This will be achieved not only by study of design methods and patterns for mission critical systems, but also through implementation of soft real-time systems and comparison to hard real-time. Methods of verification to determine ability to meet mission critical as well as soft real-time requirements will be learned so that the learner can properly assess risk, reliability and impact of failure in real-time systems. At the end of this course learners will be able to apply an architectural style (cyclic executive, RTOS, or embedded Linux) to more detailed design of a mission critical system, a soft real-time system, or a mixed hard and soft real-time system, including: ● Thorough understanding of hardware/software device interfaces and resource view for hardware abstraction layers (HAL, BSP) ● Design trade-offs with different real-time hardware architectures including single core, multi-core, hybrid-FPGA, GP-GPU, and DSP systems, with emphasis on multi-core ● Mission critical embedded systems architecture and key design elements ● Fault tolerant processing, memory, and I/O concepts

Cours4

Cours 4

Real-Time Project for Embedded Systems

This course can also be taken for academic credit as ECEA 5318, part of CU Boulder’s Master of Science in Electrical Engineering degree.

The final course emphasizes hands-on building of an application using real-time machine vision and multiple real-time services to synchronize the internal state of Linux with an external clock via observation. Compare actual performance to theoretical and analysis to determine scheduling jitter and to mitigate any accumulation of latency. The verification of the final project will include comparison of system timestamp logs with a large set of images which can be encoded into a video. The final report will be peer reviewed and the captured frames and video uploaded for scripted assessment. Course Learning Outcomes: ● Outcome 1: Decompose a problem and set of basic real-time requirements into software modules and Linux POSIX real-time threads ● Outcome 2: Analyze services in terms of C (execution time), T (request period), and D (deadlines for completion) to establish feasibility and margin for meeting requirements ● Outcome 3: Design and construct a solution for a native Linux system equipped with a webcam to verify and demonstrate system synchronization using machine vision processing

Enseignant

Sam Siewert

Associate Professor Adjunct

Electrical, Computer, and Energy Engineering

8 830 étudiants

4 cours

Offert par

Université du Colorado à Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.

Foire Aux Questions

Quelle est la politique de remboursement ?
Si vous vous abonnez, vous bénéficiez d'une période d'essai gratuite de 7 jours, durant laquelle vous pouvez annuler votre abonnement sans pénalité. Ensuite, nous n'accordons plus de remboursements, mais vous pouvez annuler votre abonnement à tout instant. Consultez notre politique de remboursement complète.
Puis-je m'inscrire à un seul cours ?
Oui ! Pour commencer, cliquez sur la carte du cours qui vous intéresse et inscrivez-vous. Vous pouvez vous inscrire et terminer le cours pour obtenir un Certificat partageable, ou vous pouvez accéder au cours en auditeur libre afin d'en visualiser gratuitement le contenu. Si vous vous abonnez à un cours faisant partie d'une Spécialisation, vous êtes automatiquement abonné(e) à la Spécialisation complète. Visitez votre tableau de bord d'étudiant(e) pour suivre vos progrès.
Une aide financière est-elle possible ?
Oui, Coursera offre une Aide Financière aux étudiants qui n'ont pas les moyens d'acquitter les frais. Demandez-la en cliquant sur le lien Aide Financière sous le bouton S'inscrire situé à gauche. Vous devrez remplir un formulaire de demande et vous serez averti(e) si elle est acceptée. Vous devrez répéter cette procédure pour chaque cours de la Spécialisation, y compris pour le Projet Final. En savoir plus.
Puis-je suivre le cours gratuitement ?
Si vous vous inscrivez au cours, vous pouvez accéder à tous les cours de la Spécialisation et obtenir un Certificat lorsque vous terminez le travail. Si vous souhaitez seulement lire et examiner le contenu du cours, vous pouvez accéder gratuitement au cours en auditeur libre. Si vous n'avez pas les moyens d'acquitter les frais, vous pouvez faire une demande d'Aide Financière.
Ce cours est-il vraiment accessible en ligne à 100 % ? Dois-je assister à certaines activités en personne ?
Ce cours est entièrement en ligne : vous n'avez donc pas besoin de vous présenter physiquement dans une salle de classe. Vous pouvez accéder à vos vidéos de cours, lectures et devoirs en tout temps et en tout lieu, par l'intermédiaire du Web ou de votre appareil mobile.
Quelle est la durée nécessaire pour terminer la Spécialisation ?
The series includes 4 courses that have 4 to 5 10 to 15 hour modules, so between 200 to 300 hours to complete, depending upon prior experience with operating systems, embedded hardware and C programming.
What background knowledge is necessary?
C programming is required, C++ is helpful, but optional, and some knowledge of concurrent processing and software interfaces to hardware is useful.
Do I need to take the courses in a specific order?
The first course should be taken before the second. The third course can be taken alone or at any time (mission critical design and analysis) and the fourth course should only be taken after the first two have been completed.
Puis-je obtenir des crédits universitaires si je réussis la Spécialisation ?
This is possible.
What will I be able to do upon completing the Specialization?
Enter the field of real-time embedded software and/or firmware design and development, with a working knowledge and appreciation of hardware design principles that support these systems.

D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.