Overview

In this unit students work on a project that will deepen their understanding of the plurality and diversity of Indigenous knowledge systems, worldviews, standpoints, and culture concerning STEM technologies. The project will focus on emerging technologies and the respectful blending of Western and Indigenous knowledge systems to enhance project outcomes with the underline engineering knowledge for converting real-world signals to digital data with a focus on emerging technologies and providing the basics of sensors, digital electronics, signal processing, as well as the engineering programming skills to implement data processing and professional project presentation and report writing.

Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024

Learning outcomes

Students who successfully complete this unit will be able to:

  • Locate Indigenous knowledge systems and consider how they story the long history of technology, science and engineering. (K1, K2, K3, K5, S2, S3).
  • Explain the importance of, and find opportunities to, respectfully converge Western knowledge systems with Indigenous knowledge systems (A1, A5, K4, K6, S2, S3).
  • Apply relevant knowledge of emerging technologies to a project within an Indigenous context taking into consideration and acknowledging Indigenous histories, worldviews, standpoints, and cultures (K1, K5, K6, S1, S3).
  • Function as an effective team member using project management tools and demonstrating professionalism and ethical behaviour (A1, A2, A7, K5, K6, S4).
  • Communicate within teams, stakeholders using appropriate verbal, written, and technological approaches (A2, A5, A7, K6, S3, S4).
  • Appreciate emerging technologies in a local, global and sustainable context (A1, A4, K4, K6, S2).
  • Demonstrate programming skills in digital data processing, analysis, and presentation (K1, K2, K6, S1, S2, A4).

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Live Online
Lecture
2.00 12 weeks 24
Live Online
Class
2.00 12 weeks 24
On-campus
Class
3.00 12 weeks 36
Unspecified Activities
Independent Learning
5.50 12 weeks 66
TOTAL150

Assessment

Type Task Weighting ULO's
Activity ReportIndividual/Group 20 - 40% 1,2,3,4,5,6,7 
Final-Semester TestIndividual 10 - 30% 3,4,5,6,7 
PortfolioIndividual 30 - 50% 1,2,3,4,5,6,7 
Presentation and RationaleIndividual 10 - 30% 3,4,5,6,7 

Hurdle

As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:

(i)achieve an overall mark for the unit of 50% or more, and(ii)complete the portfolio to an acceptable standard. A rubric will be used to determine if students have met the acceptable standard. Students who do not achieve at least 40% for the final assessment will receive a maximum of 45% as the total mark for the unit.

Content

  • Indigenous history/culture
  • Indigenous STEM Knowledge systems
  • MATLAB programming
  • Digital electronics principles
  • Signal processing and signal digitization
  • Stakeholder engagement
  • Design project development
  • Professional project presentation and report writing

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.