Unit Outline
UPP015
Numeracy and Data in Practice
Semester 1, 2024
Catherine Tyson
University College
College of Business and Economics
CRICOS Provider Code: 00586B

Unit Coordinator
Catherine Tyson
Email: Catherine.Tyson@utas.edu.au
 

What is the Unit About?
Unit Description
In this unit you will focus on the evaluation of quantitative information, in both everyday and academic situations. This unit will introduce you to research methodologies and frameworks to assess the reliability of online data sources. You will learn how to analyse and interpret numerical data and critically evaluate standard presentation methods, including column charts, line graphs, histograms, boxplots, scatterplots, and pie charts. You will also learn how to make informed decisions based on quantitative evidence and communicate your conclusions in a formal report style.
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.
Identify and describe research methods, data collection and analysis techniques for a variety of academic contexts
2.
Communicate numerical ideas and information in a range of formats
3.
Examine research sources and evaluate numerical evidence to inform decision making or practice
Alterations as a result of student feedback
Uniform teaching arrangements have been adopted state-wide to improve the student experience. This way all students will have completed the tutorial prior to the running of the workshop. This ensures that all students have the potential to be at the same point in their learning during each class.
 
 

Teaching arrangements
ATTENDANCE MODE
TEACHING TYPE
LEARNING ACTIVITY
CONTACT HOURS
FREQUENCY
On Campus
Workshop
On Campus students: 1 x 2 hour weekly workshop
2
Weekly
Tutorial
On Campus students: 1 x 1 hour tutorial
1
Weekly
Online
Workshop (Online)
Off Campus students: 1 x 2 hour weekly workshop
2
Weekly
Tutorial (Online)
Off Campus students:1 x 1 hour tutorial
1
Weekly
Attendance / engagement expectations
If your unit is offered On campus, it is expected that you will attend all on-campus and onsite learning activities. This is to support your own learning and the development of a learning community within the unit. If you are unable to attend regularly, please discuss the situation with your course coordinator and/or our UConnect support team.

If your unit is offered Online, it is expected you will engage in all those activities as indicated in the Unit Outline, including any self-directed learning.

If you miss a learning activity for a legitimate reason (e.g., illness, carer responsibilities) teaching staff will attempt to provide alternative activities (e.g., make up readings) where it is possible.
 
 
 
 

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: The Research Process Learning Log
Week 5
20 %
LO1, LO2
Assessment Task 2:
AT2: Data Collection, Representation, and Analysis
Week 7
20 %
LO1, LO3
Assessment Task 3:
AT3: Data Collection, Representation, and Analysis
Week 10
20 %
LO1, LO3
Assessment Task 4:
AT4: Evaluating Research
Week 13
40 %
LO1, LO2, LO3
 
Assessment details
    
Assessment Task 1: AT1: The Research Process Learning Log
Task Description:
Students will complete 4 short exercises examining aspects of data collection, reliability, and representation.

Task Length:
500 words
Due Date:
Week 5
Weight:
20 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Identify and assess suitability of various websites
LO1, LO2
2
Select and apply suitable methods for representing and interpreting data
LO1, LO2
 
Assessment Task 2: AT2: Data Collection, Representation, and Analysis
Task Description:
Students will be complete 2-3 short written exercises, including examining aspects of univariate data and completing relevant calculations and producing graphs.

Task Length:
500 words
Due Date:
Week 7
Weight:
20 %
 
 

CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Select and apply methods for representing, interpreting, and analysing data
LO1, LO3
2
Use mathematical techniques to solve problems
LO1, LO3
 
Assessment Task 3: AT3: Data Collection, Representation, and Analysis
Task Description:
Students will be complete 2-3 short written exercises, including examining bivariate data, probability and completing relevant calculations and producing graphs.

Task Length:
500 words
Due Date:
Week 10
Weight:
20 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Select and apply suitable methods for representing, interpreting, and analysing data
LO1, LO3
2
Use mathematical techniques to solve problems
LO1, LO3
 
Assessment Task 4: AT4: Evaluating Research
Task Description:
Students will complete a report based around collecting, representing, analysing and comparing long term rainfall and temperature from various locations both local and international.

Task Length:
1000 words
Due Date:
Week 13
Weight:
40 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Examine data sources.
LO1, LO2, LO3
2
Select and apply methods for representing, interpreting, and analysing data.
LO1, LO2, LO3
3
Evaluate numerical evidence to communicate the significance and limitations of the data.
LO1, LO2, LO3
 
 
 

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.
 
 
 

Required Resources
Required reading materials
All required readings are available online and accessed via the online content and activities through MyLO.
 
Recommended reading materials
 
 
Other required resources
Office 365 on a desktop or laptop computer.

Note: Office 365 (including Word, Excel, Outlook & OneDrive) software is free to download for all UTAS students.