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

3.8

별점

8개의 평가

Sam Siewert

제공자:

Real-Time Embedded Systems 특화 과정콜로라도 대학교 볼더 캠퍼스

배울 내용

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

귀하가 습득할 기술

Asymmetric Multi-core ProcessingFault ToleranceReal-Time Operating System (RTOS)Rate Monotonic AnalysisLinux On Embedded SystemsMulti-Core ProcessorsRM LUB (Rate Monotonic Least Upper Bound)C ProgrammingPosix ThreadsEDF (Earliest Deadline First)Priority Ceiling ProtocolRate Monotonic Theory

이 전문 분야 정보

최근 조회 7,065회

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.

응용 학습 프로젝트

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).

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인 강좌

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 일정

유연한 마감을 설정하고 유지 관리합니다.

중급 단계

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

완료하는 데 약 5개월이 걸립니다

권장 학습 속도: 주 12시간

영어

자막: 영어, 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 스페인어

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인 강좌

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 일정

유연한 마감을 설정하고 유지 관리합니다.

중급 단계

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

완료하는 데 약 5개월이 걸립니다

권장 학습 속도: 주 12시간

영어

자막: 영어, 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 스페인어

특화 과정 이용 방법

강좌 수강

Coursera 특화 과정은 한 가지 기술을 완벽하게 습득하는 데 도움이 되는 일련의 강좌입니다. 시작하려면 특화 과정에 직접 등록하거나 강좌를 둘러보고 원하는 강좌를 선택하세요. 특화 과정에 속하는 강좌에 등록하면 해당 특화 과정 전체에 자동으로 등록됩니다. 단 하나의 강좌만 수료할 수도 있으며, 학습을 일시 중지하거나 언제든 구독을 종료할 수 있습니다. 학습자 대시보드를 방문하여 강좌 등록 상태와 진도를 추적해 보세요.

실습 프로젝트

모든 특화 과정에는 실습 프로젝트가 포함되어 있습니다. 특화 과정을 완료하고 수료증을 받으려면 프로젝트를 성공적으로 마쳐야 합니다. 특화 과정에 별도의 실습 프로젝트 강좌가 포함되어 있는 경우, 다른 모든 강좌를 완료해야 프로젝트 강좌를 시작할 수 있습니다.

수료증 취득

모든 강좌를 마치고 실습 프로젝트를 완료하면 취업할 때나 전문가 네트워크에 진입할 때 제시할 수 있는 수료증을 취득할 수 있습니다.

이 전문 분야에는 4개의 강좌가 있습니다.

강좌1

강좌 1

Real-Time Embedded Systems Concepts and Practices

3.8

별점

16개의 평가

•

10개의 리뷰

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.

강좌2

강좌 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

강좌3

강좌 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

강좌4

강좌 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

강사

Sam Siewert

Associate Professor Adjunct

Electrical, Computer, and Energy Engineering

6,006명의 학습자

4개의 강좌

제공자:

콜로라도 대학교 볼더 캠퍼스

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.

자주 묻는 질문

전문 분야를 완료하면 대학 학점을 받을 수 있나요?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
구독하는 경우, 취소해도 요금이 청구되지 않는 7일간의 무료 평가판을 이용할 수 있습니다. 해당 기간이 지난 후에는 환불이 되지 않지만, 언제든 구독을 취소할 수 있습니다. 전체 환불 정책 보기.
하나의 강좌에만 등록할 수 있나요?
네! 시작하려면 관심 있는 강좌 카드를 클릭하여 등록합니다. 강좌를 등록하고 완료하면 공유할 수 있는 인증서를 얻거나 강좌를 청강하여 강좌 자료를 무료로 볼 수 있습니다. 전문 분야 과정에 있는 강좌에 등록하면, 전체 전문 분야에 등록하게 됩니다. 학습자 대시보드에서 진행 사항을 추적할 수 있습니다.
Can I take the course for free?
예, Coursera에서는 수업료를 낼 수 없는 학습자를 위해 재정 지원을 제공합니다. 왼쪽에 있는 등록 버튼 아래 재정 지원 링크를 클릭하면 지원할 수 있습니다. 신청서를 작성하라는 메시지가 표시되며 승인되면 알림을 받습니다. 성취 프로젝트를 포함하여 전문 분야의 각 강좌에서 이 단계를 완료해야 합니다. 자세히 알아보기.
해당 강좌를 무료로 수강할 수 있나요?
강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있으며 강좌를 완료하면 인증서가 발급됩니다. 강좌 내용을 읽고 보기만 원한다면 강좌를 무료로 청강할 수 있습니다. 수업료를 지급하기 어려운 경우, 재정 지원을 신청할 수 있습니다.
이 강좌는 100% 온라인으로 진행되나요? 직접 참석해야 하는 수업이 있나요?
이 강좌는 100% 온라인으로 진행되므로 강의실에 직접 참석할 필요가 없습니다. 웹 또는 모바일 장치를 통해 언제 어디서든 강의, 읽기 자료, 과제에 접근할 수 있습니다.
전문 분야를 완료하는 데 얼마나 걸리나요?
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.
Will I earn university credit for completing the Specialization?
This is possible.
전문 분야를 완료하면 대학 학점을 받을 수 있나요?
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.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.