• Code CECS8002
  • Unit Value 6 to 24 units
  • Offered by Institute of Autonomy, Agency and Assurance
  • ANU College ANU College of Engineering and Computer Science
  • Classification Advanced
  • Course subject CECS Experimental, Interdisciplinary
  • Areas of interest Engineering, Algorithms and Data, Artifical Intelligence, Project Management
  • Academic career PGRD
  • Course convener
    • Dr Katherine Daniell
  • Mode of delivery In Person
  • Offered in Summer Session 2020
    First Semester 2020
    Autumn Session 2020
    Second Semester 2020
    See Future Offerings

Within this course, projects and special topics may be offered that vary from year to year. This course will enable students to develop competencies expected of professionals working in business, government academia or the broader community. There may be internship opportunities available for which students can apply. A holistic selection process will be used to select the best applicant for each opportunity. Students can also propose internships or research projects, but these will always be established following negotiations between the ANU and the potential host organisations or project sponsors, before being offered to students along with other opportunities.

Learning Outcomes

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

  1. Identify and apply selected research literature to inform applied cybernetics analysis of an aspect of a real-world cyber-physical system.
  2. Demonstrate the ability to apply cybernetics concepts and frameworks to analyse some aspect of a cyber- physical system, accounting for the technical, social, economic, organisational, cultural components of said system.
  3. Demonstrate the ability to frame critical, constructive, and organization-relevant questions, and appropriately apply existing and emerging methodologies to describe and explain challenges surrounding the design, construction, commission, management and/or decommissioning of cyber-physical systems.
  4. Fluently apply a range of techniques, tools and resources to framing questions, analyse data, interpret results and formulate conclusions about cyber-physical systems with the goal to further test the core concepts and methodologies of the new branch of engineering and communicate these to others.
  5. Demonstrate advanced cognitive, technical, management and communication skills to develop independent research and/or design in the field.
  6. Generate and communicate complex outcomes of cyber-physical research in relevant formats for diverse audiences.
  7. Synthesize a wide range of relevant published works and data with primary research data into course project delivery.
  8. Demonstrate ability to work productively with stakeholders and teams in partner organisations, to learn from other professionals and to contribute positively to the knowledge and practice of organizations involved in the project.

Indicative Assessment

  1. Internship or project report (80) [LO 1,2,3,4,5,6,7,8]
  2. Presentations (20) [LO 1,2,3,4,5,6,7,8]

In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available via Wattle and/or students should have been advised by the offering College. 

The ANU uses 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. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Combination of individual research and/or attendance at the internship placement, attendance at and participation in assessment activities, and writing the reflective report

Inherent Requirements

Not applicable

Requisite and Incompatibility

You will need to contact the Institute of Autonomy, Agency and Assurance to request a permission code to enrol in this course.

Prescribed Texts

To be defined in the 'Independent Study Contract'.

Preliminary Reading

To be defined in the 'Independent Study Contract'.

Assumed Knowledge

This will depend on the nature of the proposed internship or project and will be assessed by the course convener and/or 3A Institute Director. It is recommended that students have previously taken CECS6001, CECS6002 and CECS8001 prior to commencing this Projects in Applied Cybernetics course.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 to 24 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
7.00 0.14583
8.00 0.16667
9.00 0.18750
10.00 0.20833
11.00 0.22917
12.00 0.25000
13.00 0.27083
14.00 0.29167
15.00 0.31250
16.00 0.33333
17.00 0.35417
18.00 0.37500
19.00 0.39583
20.00 0.41667
21.00 0.43750
22.00 0.45833
23.00 0.47917
24.00 0.50000
Domestic fee paying students
Year Fee
2020 $72 per unit
International fee paying students
Year Fee
2020 $96 per unit
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Summer Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
1636 01 Jan 2020 24 Jan 2020 24 Jan 2020 31 Mar 2020 In Person N/A

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4603 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 In Person N/A

Autumn Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
5596 01 Apr 2020 24 Apr 2020 24 Apr 2020 30 Jun 2020 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9573 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

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