• Class Number 3905
  • Term Code 3530
  • Class Info
  • Unit Value 12 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Safiya Okai-Ugbaje
  • LECTURER
    • GABRIELA FERRARO
    • Dr Safiya Okai-Ugbaje
    • Dr Sungyeon Hong
    • Thomas Biedermann
  • Class Dates
  • Class Start Date 17/02/2025
  • Class End Date 23/05/2025
  • Census Date 31/03/2025
  • Last Date to Enrol 24/02/2025
  • TUTOR
    • Yichen Wang
SELT Survey Results

This is an annual course split into two parts which enables students to analyze and create cyber-physical systems both individually and in diverse teams under academic supervision.


This course will create disciplinary experts who have a hands-on understanding of new and emerging technological constellations and their separate components. Participants will complete a range of lab-based projects to develop a technical understanding of systems as designed objects which embody values. They will also gain technical skills in designing, building and understanding cybernetic systems, and understanding Cyber-Physical Systems (CPS) from the ‘inside’, with an emphasis on making and building. This complements the approach in CYBN6001 and CYBN6002, which challenge participants to consider cybernetic systems from the ‘outside’ via interrogating case studies.


Participants will not emerge from the course as qualified programmers or computer scientists. Instead, through learning-by-doing, participants will gain sufficient knowledge and practice to drive meaningful and accurate conversations about cybernetic systems and shape design decisions as a part of a multidisciplinary team developing new and emerging technologies.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Interrogate the separate components of cyber-physical systems using appropriate terminology 
  2. Evaluate complex ideas and concepts through a holistic analysis of technological constellations 
  3. Critically analyze principles and guidelines for designing and building cyber-physical systems, including the social, regulatory, and environmental factors 
  4. Synthesize information and apply relevant concepts, trends, techniques, principles and values when creating cyber-physical systems 
  5. Design, plan, execute, and document cyber-physical system prototypes informed by research 
  6. Work effectively with cohort colleagues in collaborative settings 
  7. Reflect and effectively communicate knowledge and capabilities to a variety of audiences 

Whether you are on campus or studying online, there are a variety of online platforms you will use to participate in your study program. These could include videos for lectures and other instruction, two-way video conferencing for interactive learning, email and other messaging tools for communication, interactive web apps for formative and collaborative activities, print and/or photo/scan for handwritten work and drawings, and home-based assessment.

ANU outlines recommended student system requirements to ensure you are able to participate fully in your learning. Other information is also available about the various Learning Platforms you may use.

Staff Feedback

Students will be given feedback in the following forms in this course:

  • written comments
  • verbal comments
  • feedback to whole class, groups, individuals, focus group etc

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Class Schedule

Week/Session Summary of Activities Assessment
1 A Tale of Two Chatbots
2 A Tale of Two Chatbots
3 Purposeful Behaviour
4 Purposeful Behaviour
5 Modelling, Simulation, and Feedback Loops
6 Modelling, Simulation, and Feedback Loops
7 Sensors, Circuits, and Actuators
8 Sensors, Circuits, and Actuators
9 Data and Networks
10 Data and Networks
11 Introduction to Machine Learning
12 Introduction to Machine Learning

Tutorial Registration

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

Assessment Summary

Assessment task Value Learning Outcomes
Maker Project 60 % 1,2,3,4,5,6,7
Skills Work 30 % 1,2,3,4,5,6,7
Build Journey 10 % 1,2,3,4,5,6,7

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Assessment Task 1

Value: 60 %
Learning Outcomes: 1,2,3,4,5,6,7

Maker Project

The Maker Project is an assessment where students showcase a culmination of their learning throughout the semester. The goal is to help you develop skills and confidence in fabrication and programming techniques in a free and creative way. You will learn new skills in addition to leveraging any existing skills and bring your learning together in a

hands-on fashion by designing and building your own prototype cyber-physical system. The deliverables of the project include a design brief to present the intended prototype to a panel of experts from within and outside the university who will provide feedback to help refine your thoughts, a prototype demonstration (Demo Day) and documentation, and finally, a colloquial interview with the teaching staff to show your in-depth understanding of the built prototype and reflections on lessons learned. See the assessment description for further details.

Assessment Task 2

Value: 30 %
Learning Outcomes: 1,2,3,4,5,6,7

Skills Work

The Skills Work is designed to support your learning via out-of-class exercises and reflective writing. It will be assigned and assessed in fortnightly blocks. Work relevant to this assessment

category varies; examples of the activities you will be assessed on include coding exercises, reflective writing, hands-on activities, etc. The Skills Work is an individual exercise, though you are welcome to work with classmates as long as you duly acknowledge any help received and the materials you finally submit are your own. Assessment takes into account the effort shown in submitted work. The Skills Work would help you to build useful skills towards the development of your maker project. We will provide guidance to help with the exercises in tutorial sessions, and in-class skills sessions will prepare you for the fortnightly tasks. There will be three (3) skills work this semester and you are required to attempt and submit all. See the assessment description for further details.

Assessment Task 3

Value: 10 %
Learning Outcomes: 1,2,3,4,5,6,7

Build Journey

The Build Journey is intended to tell the story of each student’s learning trajectory through the entire Master's Program. It is a way for students to document, reflect, and showcase what skills they have developed and record their key learning moments. Within the Build Journey, students will have the opportunity to engage with resources, concepts, skills development, experimentation, activities, events, workshops, guest perspectives, class discussions, and giving and incorporating feedback. Students will explore connections between the courses, raise critical, creative, and constructive questions, designs, and practices, and express what was most meaningful to their Master's experience and learning individually and as part of the cohort.  The Build Journey has three checkpoints throughout the year. See the assessment description for further details.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.


The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.


The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.

 

The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
  • Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material. Any use of artificial intelligence must be properly referenced. Failure to properly cite use of Generative AI will be considered a breach of academic integrity.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

  • ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
  • ANU Accessibility for students with a disability or ongoing or chronic illness
  • ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
  • ANU Academic Skills supports you make your own decisions about how you learn and manage your workload.
  • ANU Counselling promotes, supports and enhances mental health and wellbeing within the University student community.
  • ANUSA supports and represents all ANU students
Dr Safiya Okai-Ugbaje
u1128077@anu.edu.au

Research Interests


ICT for development; Generative AI

Dr Safiya Okai-Ugbaje

By Appointment
Sunday
GABRIELA FERRARO
gabriela.ferraro@anu.edu.au

Research Interests


ICT for development; Generative AI

GABRIELA FERRARO

Sunday
Dr Safiya Okai-Ugbaje
safiya.okai-ugbaje@anu.edu.au

Research Interests


Dr Safiya Okai-Ugbaje

By Appointment
Sunday
Dr Sungyeon Hong
sungyeon.hong@anu.edu.au

Research Interests


ICT for development; Generative AI

Dr Sungyeon Hong

Sunday
Thomas Biedermann
thomas.biedermann@anu.edu.au

Research Interests


ICT for development; Generative AI

Thomas Biedermann

Sunday
Yichen Wang
yichen.wang@anu.edu.au

Research Interests


Yichen Wang

Sunday

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