Unit Outline

In this unit, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn and apply a suite of common statistical and mathematical methods to generate evidence for decision-making. You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through case studies relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.

This unit also builds on concepts of learning through practice from Year 1 by introducing you to more complex learning experiences including:

discipline-based skills and knowledge in dynamic practice situations. This will include authentic and purposeful, industry-related experiences

concepts of managing effective relationships and communicating with others

the development and use of adaptive leadership skills and how these skills relate to innovative and entrepreneurial practice

the nature of responsible, accountable, and reflective workplace skills, and creative and critical thinking relevant to para-professional practice.

You will exercise self-awareness, initiative, and judgement to manage yourself and professional relationships effectively. The application of tacit knowledge and capabilities will be reflected in a Practice Manual.

Intended Learning Outcomes

As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.

On completion of this unit, you will be able to:


1.	Describe how data are handled and analysed to support decision making in business, science, and technology disciplines
2.	Select and apply data analysis and presentation methods to generate evidence that supports decision-making
3.	Evaluate, interpret and communicate evidence generated from mathematical and statistical approaches
4.	Critically reflect on own technical practice and discipline knowledge to generate plans for self-development

Requisites


REQUISITE TYPE	REQUISITES
Anti-requisite (mutual excl)	ZAB103 ZAB114 ZAS103 ZAS113

Alterations as a result of student feedback

To Be Determined.

How will I be Assessed?

For more detailed assessment information please see MyLO.

Assessment schedule


ASSESSMENT TASK #	ASSESSMENT TASK NAME	DATE DUE	WEIGHT	LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:	AT1: Exploring Data as Evidence	Week 3	20 %	LO1, LO3
Assessment Task 2:	AT2: Report: Data Analysis	Week 8	35 %	LO1, LO2, LO3, LO4
Assessment Task 3:	AT3: Presentation: Communicating Data for Decision Making, with Peer Feedback	Week 13	45 %	LO1, LO2, LO3, LO4

Assessment details

Assessment Task 1: AT1: Exploring Data as Evidence

Task Description:

You will be provided with a report from your discipline containing statistical/quantitative information. You will identify and describe the statistical information contained in the report and discuss how it is used as evidence in the report.
Refer to Assessment Task 1 sheet in MyLO for detailed information, criteria and marking rubrics

Task Length:

700 Words

Due Date:

Week 3

Weight:

20 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Identify, describe and evaluate statistical information	LO1, LO3
2	Describe the use of data and analysis for decision-making in industry settings	LO1, LO3
3	Communicate ideas and information	LO1, LO3

Assessment Task 2: AT2: Report: Data Analysis

Task Description:

In this assessment task you will demonstrate skills or knowledge of handling, analysing, interpreting and presenting data for the sciences, business or technology industries. To do this you will be provided with a dataset related to your industry. You will then present the results of your data analysis in one of two formats:
• Business Report format
• Science Report format
Refer to Assessment Task 2 sheet in MyLO for detailed information, criteria and marking rubrics

Task Length:

1500 Words

Due Date:

Week 8

Weight:

35 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Define and articulate a research question or business problem based on a data set	LO1, LO2
2	Select and apply statistical and mathematical techniques to solve problems	LO1, LO2, LO4
3	Evaluate, interpret and analyse statistical information	LO2, LO3

Assessment Task 3: AT3: Presentation: Communicating Data for Decision Making, with Peer Feedback

Task Description:

"Lightning” presentation with peer feedback.
You will create a short presentation (3 minutes maximum), either a business pitch or scientific seminar based on the output of your AT2 analysis. You will create a short succinct communication of the problem, data collection and analysis process, results and recommendations. This presentation will be completed in two-steps.

Step 1 – Draft presentation and peer review
Step 2 – Final presentation and peer report

Refer to Assessment Task 3 sheet in MyLO for detailed information, criteria and marking rubrics

Task Length:

5 minute video with artefacts

Due Date:

Week 13

Weight:

45 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Apply presentation skills to communicate ideas, information and recommendations	LO1, LO2, LO3
2	Use evidence to support arguments and conclusions	LO2, LO3
3	Use peer review and reflective practice to apply feedback	LO1, LO2, LO3, LO4

How your final result is determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

Submission of assignments

Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.

Requests for extensions

If you are unable to submit an assessment task by the due date, you should apply for an extension.

A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.

The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.

Late penalties

Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.

Review of results and appeals

You are entitled to ask for a review of the marking and grading of your assessment task if there is an irregularity in the marking standards or an error in the process for determining the outcome of an assessment. Details on how to request a review of a mark for an assignment are outlined in the Review and Appeal of Academic Decisions Procedure.