ELEC ENG 4105 - Real-Time and Embedded Systems
North Terrace Campus - Semester 2 - 2021
General Course Information
Course Code ELEC ENG 4105 Course Real-Time and Embedded Systems Coordinating Unit School of Electrical & Electronic Engineering Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Prerequisites ELEC ENG 2100, ENG 1002 or COMP SCI 1101 Incompatible ELEC ENG 3105, ELEC ENG 4056 Assumed Knowledge ELEC ENG 1100 Course Description This course provides a first Introduction into Real Time systems. Systems that provide time-bound response are prevalent in many industrial applications. This course uses the C as the teaching programming language. Important issues for Real Time systems are explored: synchronisation, communication and scheduling. Concepts are illustrated and reinforced through simulation of a Real Time system. This is a core course for several BE(Hons)(E&E) majors, and an admissible elective in other BE(Hons)(E&E) majors. Assessments include computer laboratory exercises, a quiz and a final examination.
Course Coordinator: Dr Andrew Allison
The full timetable of all activities for this course can be accessed from Course Planner.Details of times and location of events are publishe don the University WWW sites:
Course Learning OutcomesCLO 1 Apply correctly the terminology , and list applications, of real time systems;
CLO 2 Translate requirements of real-time systems into forms that can be encoded;
CLO 3 Demonstrate the ability to work within the constraints imposed by the real-time aspects of systems;
CLO 4 Re-cast practical design problems into real time task models for the purpose of analysis, evaluation or implementation;
CLO 5 Evaluate the implications of design choices on real time system implementation;
CLO 6 Explain the purpose and structure of a real time operating system;
CLO 7 Apply simple real time functions using a real time operating system and a programming language suitable for embedded real-time systems;
CLO 8 Analyse and schedule real time task sets for a single processor;
CLO 9 Apply real-time methodology to multiprocessor, and distributed systems;
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
CLO 1-9 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
CLO 2-5, 7-9 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
CLO 8-9 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
CLO 6-9 Intercultural and ethical competency
- adept at operating in other cultures
- comfortable with different nationalities and social contexts
- able to determine and contribute to desirable social outcomes
- demonstrated by study abroad or with an understanding of indigenous knowledges
not addressed Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
Required ResourcesA set of course notes, practice problems and other supporting materials will also be available for downloading from the course web site.
The teaching language for this course is the C programming language, particularly the variant supported by the GNU C compiler, and the POSIX extensions. Knowledge of The C programming language is assumed for this course. C is used in the practical exercises, and for discussing examples in the lectures. There will be "Zoom" drop-in, or general consulting, sessions to assist with any issues that students may have.
It would be to your advantage to organize access to an environment that can compile C programs. This could include
1/ A computer that runs on, or can boot into, LINUX
2/ A computer with the "bash shell" installed under Windows 10
3/ a Macintosh machine running macOS.
Cumputers of this type are available in the CAT suites in the ECMS faculty.
The lectures from 2019 will be available on-line, via My_Uni an dEcho 360. These will be augmented with other recordings from this year. The lectures will be asynchronous, so the lecture time-slots will not be used to deliver content. instead, the lecture time-slots will be used as drop-in sessions, using "Zoom", where people can discuss issues.
Tutorials will be primarily in face-to face mode, although an online time-slot is available.
The times and places for the Tutorials and Computer Exercises are available on the university's WWW site at:
Your particular time and place will depend on your enrolment. Given the COVID-19 situation, we are keen not to cram tutorials. We want you to stick to the sessions for which you are enrolled.
Recommended ResourcesRecommended Reference Books:
Burns and Wellings, “Real-Time Systems and Programming Languages: Ada, Real-Time Java and C/Real-Time POSIX,” 4th edition, Addison Wesley, 2009
Laplante and Ovasaka, “Real-Time Systems Design and Analysis: Tools for the Practitioner” (4th Edition)
Posix Threads (Pthreads) Application Programming Interface-Appendix B, Linux for Embedded and Real-time Applications, Chapter Appendix B, pp.275-286 (available in the Barr-Smith Library)
Kernighan and Ritchie, “The C Programming Language,” 2nd edition, Prentice Hall, 1988
Tanenbaum "Modern Operating Systems" 2nd ed., 2001
Blum "Exploring Arduino: Tools and techniques for Engineering Wizardry" Wiley, 2013.
This course uses the MyUni web site for:
- all announcements
- lectures slides, practice and tutorial questions, practical instructions, and other resources
- online quizzes
- communication of marks using the gradebook
- a discussion board for course-related discussion
- lecture recordings and key-concept videos
Learning & Teaching Activities
Learning & Teaching ModesThere are three types of classes in this course:
1/ Computer Exercise
These are devovered in the following modes:
1/ Computer Exercise
Thes are initially in a Computer Aided Teaching Suite. Exercises have been designed in a way that uses Open-Source sontware, including LINUX and POSIX. This means that work can continue in othe rloactions, on students' personal equipment, or an a CAT suite.
Assesments are bu live interview or "viva". These can be in the CAT suite, or via Zoom, during a general consulting session.
The content of lectures will be available on-line, via My_uni and Echo 360.
The lecture time-slots will be used for general consulting.
Tutorils are scheduled. The details are given here:
Most of the tutorials are physical, in a 'flet floor" teaching room. One session is reserved for remote stidents, using Zoom.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Assesment Activity Quantity Contact Hours Workload hours Lectures & revision 30 1+1 60 Tutorials 5 1+1 10 Computer Exercises 4 3 12 General Consulting 30 1 30 TOTAL 112
Note that this does not include private study. Yoou may need to invest more than the bare minimum number of hours.
Learning Activities SummaryLearning Activities Summary
TOPIC 1: Introduction to Real Time Systems (6 lectures, 2 tutorial) Introduction Designing and Modelling Real Time Systems Implementation Alternatives Testing & Reliability Safety and Certification Trends & Future Directions
TOPIC 2: Synchronisation, Communication & Scheduling (8 lectures, 2 tutorial) VxWorks: A Real-Time Operating System Using VxWorks, POSIX, Semaphores Synchronisation and Priority Inversion Synchronisation & Communication Message Queues Deadlock
TOPIC 3: Scheduling Real Time Systems (16 lectures, 1 tutorials, 1 computer exercise) Modelling Periodic Tasks Cyclic Executives Round Robin Rate Monotonic Scheduling Scheduling Real Time Systems Rate Monotonic Analysis Deadline Constrained Tasks Advanced Scheduling (6 lectures, 1 tutorial) Dynamic Scheduling Handling Aperiodic Tasks Modelling Aperiodic Tasks Advanced Scheduling Schedulability with Blocking Multiprocessor Systems
Specific Course RequirementsThere are no specific course requirements for this course.
A prior exposure to computer programming would be helpful.
A knowledge of Programmingin the C programming Language in a LINUX environment would be particularly helpful.
Small Group Discovery ExperienceComputer exercises number give students a chance to work in small groups with the lecturer, and tutors.
This is supported, using general consulting session, on Zoom.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Computer laboratory Exercises 32
Assesssment by viva
Summmative 3 to 12 no Two Quizzws 18 Individual Summative Weeks 7&9 No Written Examination 50 Individual Summative Exam period
minimum of 40%
Assessment Related RequirementsThere are no special requirements.
Access plans will be holoured.
Alternative assessments are only offered in acccordance with Univerity policies.
Assessment DetailDetails of individual assessment tasks will be provided during the semester.
SubmissionAll details about submissions are published on My-Uni.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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