• Offered by RS Electrical, Energy and Materials Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Classification Transitional
  • Course subject Engineering
  • Areas of interest Computer Science, Engineering, Communications, Computer Systems, Computer Engineering
  • Academic career PGRD
  • Course convener
    • Dr William Grant
  • Mode of delivery In Person
  • Offered in First Semester 2020
    Second Semester 2020
    See Future Offerings

This is the second in a series of two courses for engineering and computing graduate students that focus on developing professional and communication skills for the 21st century workplace.

The course builds upon individual capacity, and further develops students’ professional skills, values, and attributes in ways that directly complement their technical expertise. These skills will enable students to perform effectively in the complex context in which engineering and computer professionals operate. In particular, the course will provide students with skills to interpret, critically evaluate, and justify their own and others’ decisions with reference to ethical and professional standards and expectations. The practical focus on these skills and their integration into the engineering and computing curriculum reflects the contemporary expectations of professional organisations (e.g. Engineers Australia and the Australian Computer Society) and enhances the employment opportunities of graduates.

Learning Outcomes

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

  1. Demonstrate understanding of the responsibilities of membership in a professional community through engagement in ethical reflective practice, critical self-review and peer evaluation.
  2. Justify, interpret and communicate professional propositions and decisions to technical and non-technical audiences.
  3. Identify, analyse and synthesise information from multiple sources when developing solutions to complex problems.
  4. Apply creativity, sensitivity, and initiative to decision-making and leadership of diverse team activities, especially where these involve negotiation of disparate stakeholder requirements.

Indicative Assessment

  1. Assessment will be based on a combination of individual and group assignments (written and oral), and a final exam. Marks for group tasks will include components for group performance and individual contribution of each student. (null) [LO null]
  2. Weighting of assessment items will be confirmed by the course convener at the start of semester and published in the course outline. (null) [LO null]

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

The typical workload for a 6 unit course is approximately 10hr/week throughout semester. This includes lecture and workshop attendance, assessment preparation and individual study time.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must be studying Master of Engineering or Master of Machine Learning and Computer Vision.

Prescribed Texts

None

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 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
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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3139 24 Feb 2020 02 Mar 2020 31 Mar 2020 29 May 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
8143 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions