| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor and Lecturer (Second Half)
Ningning Hou
4RPD,313
Wednesday, 2-4 PM
Lecturer (First Half)
Endrowednes Kuantama
4RPD,313
Thursday, 1-3 PM
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
COMP6291
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit is intended to provide a practical understanding of embedded/real-time operating systems (OS). The unit investigates the Embedded OS internals by examining key concepts such as kernel architecture and threads, device models, interfaces and drivers, system calls, kernel, filesystem, and system utilities. It also provides students with the knowledge and skills to begin developing and implementing IoT applications. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
General Notes
Students will engage in a blended learning approach that combines theoretical study, software development, and collaborative discussions during lectures. Workshop sessions will provide opportunities for applying and validating skills in theory, software implementation, and problemsolving.
In this unit, students are expected to:
1. Actively participate in lectures by attending, taking comprehensive notes, and engaging in discussions.
2. Attend your workshop or practical sessions, and actively seek feedback from your
lecturer regarding your assignments.
3. Engage with the assigned readings, supplementing your notes and formulating questions for further clarification during discussions with your lecturer or tutor.
4. Thoughtfully craft responses to tutorial questions, demonstrating a deep understanding of the material.
5. Dedicate time to complete any assigned tasks or projects within the given timeframe.
Attendance and Participation Guidelines
It is strongly advised to attend the majority of classes, actively participate in discussions, ask and answer questions, and share perspectives from your background and workplace. Supplementary resources, including lecture materials and digital recordings of lectures, are available for review purposes and in the event of missed classes. These resources can be accessed through Echo360 via an iLearn login. However, it is essential to note that these recordings should not be solely relied upon, and copyrighted material may be excluded. For effective out-of-class communication and engaging in discussions on various topics, iLearn is the primary platform.
Accessible through iLearn, the platform offers forums for active participation and serves as a valuable resource for disseminating information. Regularly reviewing iLearn and conducting background reading before each class is highly encouraged to enhance your overall learning experience.
Assignment Submission
Your assignment is to be submitted online using iLearn.
Release Dates
• Assignment 1 (Data Processing in Real-Time Operating Systems): To be released no later than 8th March.
• Assignment 2 (Applications of Real-Time Operating Systems): To be released no later than 26th April.
Late Assessment Submission Penalty
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark of the task) will be applied for each day a written report or presentation assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. The submission time for all uploaded assessments is 11:55 pm. A 1-hour grace period will be provided to students who experience a technical concern. For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, please apply for Special Consideration. For example, if the assignment is worth 8 marks (of the entire unit) and your submission is late by 19 hours (or 23 hours 59 minutes 59 seconds), 0.4 marks (5% of 8 marks) will be deducted. If your submission is late by 24 hours (or 47 hours 59 minutes 59 seconds), 0.8 marks (10% of 8 marks) will be deducted, and so on.
Assessments where Late Submissions will be accepted
• Assignment 1 (Applications of Real-Time Operating Systems) - YES, Standard Late Penalty applies
• Assignment 2 (Data Processing in Real-Time Operating Systems) - YES, Standard Late Penalty applies
• Lab Report - YES, Standard Late Penalty applies
Special Consideration
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable, and significantly disruptive, and which may affect their performance in assessment. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through http://connect.mq.edu.au/.
Requirements to Pass this Unit
To pass this unit, you must achieve a total mark equal or greater than 50%. This unit does not have hurdle assessments.
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Data Processing in Real-Time Operating Systems | 40% | No | 26/04/2026 | Individual | Yes | Open |
| Applications of Real-Time Operating Systems | 40% | No | 24/05/2026 | Individual | Yes | Open |
| Lab Report | 20% | No | 31/05/2026 | Individual | Yes | Open |
Assessment Type 1: Experiential task
Indicative Time on Task 2: 37 hours
Due: 26/04/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
You will develop a program that reads, processes, and transmits sensor data using an RTOS, focusing on real-time multitasking, scheduling, and memory management in a resource-constrained IoT environment. A technical report documenting implementation, testing, and performance evaluation is required.
Assessment Type 1: Portfolio
Indicative Time on Task 2: 37 hours
Due: 24/05/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
You will design and develop an IoT prototype using an RTOS, demonstrating task scheduling, inter-process communication, real-time data processing, and resource management. A technical report documenting the design, implementation, and performance evaluation is required.
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 24 hours
Due: 31/05/2026
Weighting: 20%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
This lab offers hands-on experience with embedded systems and RTOS. You will submit a report based on the lab work completed at the end of the session.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
Delivery Time COMP8291 is taught via lectures and tutorial/workshop sessions. Lectures are scheduled on Tuesdays from 1:00 - 3:00 PM (25WW GB30 Tutorial Room), followed by workshops from 4:00 PM to 6:00 PM (4RPD 103) on the same day. This attendance policy underscores the interactive and real-time nature of the learning experience, encouraging students to actively participate in lectures and workshops for an optimal educational outcome.
Week 1 Classes
In Week 1, only the lecture session will take place, covering Introduction to Real-Time Operating Systems. Workshops will commence from Week 2.
Lectures
The lecture sessions for COMP8291 are dedicated to exploring real-time operating systems (RTOS) through a blend of theoretical concepts and hands-on applications, particularly utilizing the STM32 microcontroller. This approach aims to provide students with a comprehensive understanding of the internal workings and design principles of RTOS, with a focus on their practical implementation in building embedded systems for the Internet of Things (IoT).
Various RTOS simulation software tools, including STM32 Cube and FreeRTOS, will be employed throughout the unit to support the learning process. Lecture sessions will lay the foundation for grasping RTOS intricacies, and this knowledge will be put into practice during workshops. The workshops will involve running and porting the FreeRTOS Real-Time Operating System on STM32-based Microcontrollers.
While lecture notes will be provided weekly, viewing them as a guide rather than a substitute for personal notes or the recommended reading list is essential. Students are encouraged to engage with the material actively, supplementing their understanding through the provided lecture notes, personal notes, and the suggested reading list for each week. This proactive approach will contribute to a robust comprehension of the syllabus topics and enhance the overall learning experience in real-time operating systems.
Assignments
Students are allotted a four-week timeframe to complete each assignment, emphasizing a structured and thorough approach to their work. Assignments 1 and 2 contribute 40% of each assignment to the overall course grade. Evaluation criteria for assignments encompass three key components: First, the complexity of the designed programming application will be assessed to determine the level of innovation and technical challenge demonstrated by the student. Second, the student’s understanding of the assignment will be evaluated through their presentation, focusing on how clearly and effectively they communicate their approach and insights. Finally, comprehension of the Real-Time Operating System (RTOS) concept will be assessed through the project report, which should follow the provided template to ensure consistency and depth in the explanation. The completed report is then to be submitted through the designated system.
Additionally, one week after the submission deadline, you will have the opportunity to present your work. This presentation is a platform to showcase your understanding of the material and the practical applications of RTOS programming concepts.
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2026.03 of the Handbook