• Offered by School of 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
    • AsPr Thomas White
  • Mode of delivery In Person
  • Offered in First Semester 2022
    Second Semester 2022
    See Future Offerings

This course has been adjusted for remote participation in Semester 1 2021.

This is the first 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. Industry bodies and employers of engineering and computing graduates consistently rank communication skills as one of the most important selection criteria when hiring.

This course aims to heighten students’ awareness of professional practice, and to develop new interpersonal and communication skills, leading to students becoming more competent professionals in their field.
Based on Engineers Australia and Australian Computer Society professional competencies, students will develop and practice fundamental skills required by industry to better equip them for the workforce.

Learning Outcomes

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

  1. Communicate effectively in written and spoken English to transfer complex knowledge and ideas to technical and non-technical audiences.
  2. Identify and use appropriate sources of information when developing professional documents.
  3. Maintain and develop appropriate, effective and professional forms of documentation.
  4. Demonstrate effective team membership skills and contribute collaboratively within diverse team environments.
  5. Articulate and reflect on the industry expectations of competence and conduct in engineering and computing professions.

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.  

Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees

Student Contribution Band:
2
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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
2773 21 Feb 2022 28 Feb 2022 31 Mar 2022 27 May 2022 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
5777 25 Jul 2022 01 Aug 2022 31 Aug 2022 28 Oct 2022 In Person N/A

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