Unit Outline

This unit will explain the relationship between data, information and knowledge and introduce a number of different methods/tools for managing, storing, securing, modelling, visualizing and analyzing. This unit will provide and understanding of how data can be manipulated to meet the needs of users. Changing data into information can be accomplished with a range of tools, including XML, SQL, spreadsheeting and data visualization. This unit introduces the techniques to enable the students to use these tools for managing data, creating information and allowing knowledge development. Overarching the whole unit is the importance of data security and how it can be achieved. This unit concludes by introducing the concepts behind managing big data in response to global trends of capturing all available data due to inexpensive storage.

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.	Summarize and explore large data sets using appropriate numeric and graphical tools in order to communicate statistical concepts to both scientific and lay audiences.
2.	Recognize the key issues involved in designing a survey or experiment, and assess strengths and weaknesses in statistical arguments.
3.	Identify and apply appropriate statistical techniques to make inferences based on data.
4.	Perform common statistical analyses in a statistical computing package.

Requisites


REQUISITE TYPE	REQUISITES
Anti-requisite (mutual excl)	KIT102

Alterations as a result of student feedback

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:	Data Modelling Assignment	See the MyLO site for the due date	23 %
Assessment Task 2:	Weekly Tutorial Test	See the MyLO site for the due date	27 %	LO1, LO2, LO3, LO4
Assessment Task 3:	Examination	See the MyLO site for the due date	50 %

Assessment details

Assessment Task 1: Data Modelling Assignment

Task Description:

Data modelling assignment

Task Length:

Due Date:

See the MyLO site for the due date

Weight:

23 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)

Assessment Task 2: Weekly Tutorial Test

Task Description:

Weekly tutorial test

Task Length:

Due Date:

See the MyLO site for the due date

Weight:

27 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Completion of task	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.

Academic integrity

Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see Important Guidelines & Support.

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.