COMM5501 Data Visualisation?and?Communication?- 2024
General Course Information
Course Code : ?COMM5501
Year?: ?2024
Term : ?Term 3
Teaching Period?: ?T3
Course Details & Outcomes
Course Description
How can data help you tell a story? How can you use data storytelling to then tackle some of the?big challenges we are facing around the world?
Data?visualisation?and?communication?are?critical?skills?in?many?professions. The?creation of?targeted, easily?digestible?visuals?allows?us?to?make?sense?of?complex?information?in?an accessible and easily understandable way. The ability to employ visuals will enhance almost any?presentation to better engage our audience, make our messages more?memorable,?and facilitate?more?effective?decision-making.
In this course, we will give you the tools?to create your own data story addressing a pressing and?current global challenge as identifed by the?UN SDGs. You will learn how to design your?story for?your?chosen?audience, how?to?criticise?misrepresentations?of?data?(especially?the?intentional ones), and drive action to address your chosen challenge.
So, how will you leave the world a better?place?
Course Aims
This?course?aims?to?create?a?strong?foundation?in?data?storytelling?for?students. Students?will?receive?hands-on?experience?in?creating?effective?data?visualisations?with?the?aim?of communicating?complicated?issues?to?diverse?audiences, with?the?intention?to?bring?about impactful change. This process will also involve students giving peer feedback on each other's?work as part of building critical evaluation and refectionskills.
Relationship to Other Courses
The?ideas?introduced?in?this?course?around?developing?the?skill?of?effective?data?storytelling?will form.?a?strong?foundation?for?effective, evidence-based?communication?applicable?to?many disciplines.
Course Learning Outcomes
Course Learning Outcomes |
Program learning outcomes |
CLO1 : Produce appropriate high quality data visualisations using a variety of software packages and techniques |
? PLO1 : Business Knowledge ? PLO2 : Problem Solving ? PLO3 : Business Communication |
CLO2 : Critically evaluate and interpret data graphics |
? PLO1 : Business Knowledge ? PLO3 : Business Communication |
CLO3 : Apply data storytelling techniques to a range of business and societal problems |
? PLO5 : Responsible Business Practice ? PLO6 : Global and Cultural Competence |
CLO4 : Communicate data insights effectively to a variety of audiences |
? PLO1 : Business Knowledge ? PLO2 : Problem Solving ? PLO3 : Business Communication |
Course Learning Outcomes |
Assessment Item |
CLO1 : Produce appropriate high quality data visualisations using a variety of software packages and techniques |
? Weekly Formative tasks ? Data Story Content ? Data Story Project |
CLO2 : Critically evaluate and interpret data graphics |
? Weekly Formative tasks |
CLO3 : Apply data storytelling techniques to a range of business and societal problems |
? Data Story Content ? Data Story Project ? Weekly Formative tasks |
CLO4 : Communicate data insights effectively to a variety of audiences |
? Data Story Content ? Data Story Project ? Weekly Formative tasks |
Learning and Teaching Technologies
Moodle - Learning Management?System
Assessments
Assessment Structure
Assessment Item |
Weight |
Relevant Dates |
Program learning outcomes |
Weekly Formative tasks Assessment Format: Individual Short Extension: Yes (1 day) |
20% |
Start Date: Not Applicable Due Date: Weekly, see Moodle for details |
? PLO1 : Business Knowledge ? PLO2 : Problem Solving ? PLO3 : Business Communication ? PLO5 : Responsible Business Practice ? PLO6 : Global and Cultural Competence |
Data Story Content Assessment Format: Individual Short Extension: Yes (3 days) |
45% |
Start Date: Not Applicable Due Date: Various, see Moodle for details |
? PLO1 : Business Knowledge ? PLO2 : Problem Solving ? PLO3 : Business Communication ? PLO5 : Responsible Business Practice ? PLO6 : Global and Cultural Competence |
Data Story Project Assessment Format: Individual Short Extension: Yes (7 days) |
35% |
Start Date: Not Applicable Due Date: Week 10: 11 November - 17 November |
? PLO1 : Business Knowledge ? PLO3 : Business Communication ? PLO2 : Problem Solving ? PLO5 : Responsible Business Practice ? PLO6 : Global and Cultural Competence ? PLO7 : Leadership Development |
Assessment Details
Weekly Formative tasks
Assessment Overview
Tasks designed to give students feedback on their progress
Course Learning Outcomes
· CLO1 : Produce appropriate high quality?data visualisations using?a variety of?software?packages and techniques
· CLO2 : Critically evaluate and interpret?data?graphics
· CLO3 : Apply data storytelling techniques to a range of business and societal problems
· CLO4 : Communicate data insights effectively to a variety of audiences
Assignment submission Turnitin type This?is?not?a?Turnitin?assignment
Generative AI Permission Level No?Assistance
This assessment is designed for you to complete without?the use of any generative AI. You are?not permitted to use any generative AI tools, software or service to search for or generate
information?or?answers.
For more information on?Generative AI and permitted?use?please see here.?Data Story Content
Assessment Overview
Structured?set?of?activities?for?students?to?create?content?for?their?data?story
Course Learning Outcomes
· CLO1 : Produce appropriate high quality?data visualisations using?a variety of?software?packages and techniques
· CLO3 : Apply data storytelling techniques to a range of business and societal problems · CLO4 : Communicate data insights effectively to a variety of audiences
Assignment submission Turnitin type This?is?not?a?Turnitin?assignment
Generative AI Permission Level Simple?Editing?Assistance
In completing this assessment, you are permitted to use standard editing and referencing
functions?in?the?software?you?use?to?complete?your?assessment. These?functions?are?described?below. You must not use any functions that generate or paraphrase passages?of text or other?????media, whether based on your own work or not.
If your Convenor has concerns that your submission contains passages of AI-generated text or?media, you may be asked to account for your work. If you are?unable to satisfactorily
demonstrate your understanding of your submission you may be referred to UNSW Conduct &?Integrity Ofce for investigation for academic misconduct and possible penalties.
For more information on Generative AI and permitted use?please?see here.
Use of basic tools such as grammar and spelling checkers are permitted?in the preparation?of your assignment. However, ideas used in your work must?be your own,?and?cannot?come from?generative AI.
Data Story Project
Assessment Overview
Structured?set?of?activities?for?students?to?assemble?and?showcase?their?content
Course Learning Outcomes
· CLO1 : Produce appropriate high quality?data visualisations using?a variety of?software?packages and techniques
· CLO3 : Apply data storytelling techniques to a range of business and societal problems
· CLO4 : Communicate data insights effectively to a variety of audiences
Generative AI Permission Level Simple?Editing?Assistance
In completing this assessment, you are permitted to use standard editing and referencing functions?in?the?software?you?use?to?complete?your?assessment. These?functions?are?described?below. You must not use any functions that generate or paraphrase passages?of text or other media, whether based on your own work or not.
If your Convenor has concerns that your submission contains passages of AI-generated text or?media, you may be asked to account for your work. If you are?unable to satisfactorily demonstrate your understanding of your submission you may be referred to UNSW Conduct &?Integrity Ofce for investigation for academic misconduct and possible penalties.
For more information on Generative AI and permitted use?please?see here.
Use of basic tools such as grammar and spelling checkers are permitted?in the preparation?of?your assignment. However, ideas used in your work must?be your own,?and?cannot?come from?generative AI.
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