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MICROCREDENTIAL

Data Literacy: Data and Disagreements

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$1,595.00

START DATE

 Enquire now

MODE

DURATION

 8 wks

COMMITMENT

 8 wks avg 6 hrs/wk

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Disagreements are important. Understanding why we disagree can be hard. To achieve change, we need to be able to navigate different perspectives on issues. In this practical course you'll learn how to understand types of arguments and fallacies, how stakeholders disagree and how bias and framing shape disagreements. This course will provide a suite of techniques for navigating disagreement and disagreeing constructively.

About this microcredential

Informed citizens need to participate in discussions about significant issues in culture and society. This course focuses on the use of quantitative information as evidence, particularly in the context of contentious issues and disagreement. Participants will:

  • Apply their skills and knowledge to identify a contentious issue of relevance in their own professional or disciplinary context
  • Identify the range of stakeholder perspectives that apply and the ways that evidence informs the stakeholder’s perspectives
  • Reflect on their own perspective on the issue and the role that evidence plays in that perspective.

Key benefits of this microcredential

This microcredential has been designed to equip participants with:

  • An understanding of key issues in using data in argumentation and the ways that constructive disagreement and collective reasoning can support better decision making.
  • A range of practical tools to navigate disagreement, understand stakeholders and dissect the quality of data and its use in arguments
  • An understanding of how to disagree better, to use our cognitive biases and framing approaches to change minds (including our own) and come to better decisions.

This microcredential aligns with the 2 credit point subject, Data Literacy:  Data and Disagreements (68030), in the Master of Professional Practice and the Master of Technology.

This microcredential may also qualify as recognition of prior learning at this and other institutions.

Who should do this microcredential?

This microcredential is suitable for anyone wishing to use data to understand people’s behaviour and make decisions or recommendations based on the data analysis, including, but not limited to:

  • Managers
  • Analysts. 

Price

Full price: $1,595 (GST-free)*

*Price subject to change. Please check price at time of purchase. 

Discounts are available for this course. For further details and to verify if you qualify, please check the Discounts section under Additional course information. 

Enrolment conditions

COVID-19 response 

Additional course information

Course outline

This microcredential has been developed in collaboration with the Faculty of Science and the Connected Intelligence Centre. It is delivered online and is largely self-paced, designed to fit in with participant’s busy schedules.

The online, interactive course materials and activities are designed to guide participants through a hands-on project, which will then be presented as the final assessment at the end of the course.

The following content will be covered during this course:

Module 1: Identifying disagreements

  • Identifying areas of disagreement
  • Understanding why good quality disagreement is important.

Module 2: Understanding arguments

  • Understanding how arguments are structured
  • Identifying the role of data in providing evidence in arguments
  • Figuring out issues you might identify in arguments.

Module 3: Types of disagreement - what do we disagree about?

  • Identifying different kinds of disagreements
  • Describing how disagreements relate to the role of data and issues with data.

Module 4: Understanding perspectives - framing and bias

  • Understanding the role of cognitive bias
  • Framing in developing and interpreting evidence and arguments.

Module 5: Changing minds

  • Understanding how different techniques can be used to change minds on an issue.

Course delivery

This course is delivered online. Participants will be required to complete self-paced learning supported by formative assessment tasks, to help develop their skills and knowledge. These skills will then be applied in the final marked assessment.

Course learning objectives

Upon successful completion of this microcredential, participants should be able to:

  • Apply key concepts in statistics and probability to reveal patterns in data which can help mitigate cognitive biases and misunderstandings about contentious issues
  • Use data to critique an argument, taking relevant disciplinary, cultural, and professional expectations into account
  • Use data to quantitatively evaluate your position with respect to that of other people around you
  • Synthesise and integrate divergent sources of evidence by applying critical and independent thinking.

Assessment

Participants will be required to identify a relevant issue in their disciplinary or professional context and find sources of evidence to reconcile and synthesise the issue. Principles of framing will be used to make a recommendation to stakeholder groups.

Assessment task (a): Formative quizzes (15%)

Participants will complete three short quizzes throughout the online modules to test your understanding of the course concepts.

Assessment task (b): Disagreement proposal (25%)

This task requires you to showcase a 3-minute mini presentation of your issue, key stakeholders and arguments.

The presentation will give you the opportunity to receive formative feedback (peer and instructor) to guide the development of your final presentation.

Assessment task (c): Presentation - disagreement analysis (60%)

This task entails an 8 to 10-minute oral presentation (with slides) that includes:

  • An analysis of relevant stakeholders
  • An argument map
  • A reflection on your own stance
  • Key recommendations.

Assessment criteria:

  • Synthesise the key arguments and quantitative evidence from the perspectives of the various stakeholders, drawing on a range of sources
  • Evaluate each position, providing a rationale based on quantitative evidence and arguments
  • Take a clear position and identify the evidence that would produce a change in position
  • Apply knowledge of statistics, framing and cognitive bias to make recommendations that are appropriate for each of the designated stakeholder audiences.

Requirements

Mandatory

  • To complete this online course you will need a personal computer with reliable internet access, web conferencing capability and an operating system with a web browser compatible with the UTS Canvas LMS.

Discounts

Discounts are available for this course as follows:

  • 10% discount UTS alumni and staff.

Discounts cannot be combined and only one discount can be applied per person per course session. Discounts can only be applied to the full price. Discounts cannot be applied to any offered special price. 

How to obtain your discount voucher code (UTS alumni)

  • Please contact the team at support@open.uts.edu.au with your student number to obtain your discount voucher code. 

How to enrol and obtain your UTS staff discount (UTS staff)

How to apply your discount voucher 

  • If you are eligible for a UTS alumni discount, please ensure you have provided your UTS student number in your UTS Open Profile (under “A bit about you”). If you have forgotten your UTS student number, email support@open.uts.edu.au with your full name, UTS degree and year of commencement.  
  • Add this course to your cart 
  • Click on "View Cart" (blue shopping trolley at top right of screen). You will need to sign in or sign up to UTS Open 
  • Enter your eligible code beneath the “Have a code?” prompt and click on the blue "Apply" button 
  • Verify your voucher code has been successfully applied before clicking on the blue "Checkout" button. 

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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