CCN111 Social Media Data Analytics
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | CCN111 |
|---|---|
| Equivalent(s): | CCQ111 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $2,040 |
| Pre-2021 CSP student contribution | $957 The pre-2021 commonwealth supported place (CSP) contribution amount only applies to students enrolled in a course prior to 2021. To learn more, visit our Understanding your fees page. |
| Domestic tuition unit fee | $2,976 |
| International unit fee | $4,044 |
Unit Outline: Flexible Period - 04A 2024, Kelvin Grove, Internal (Start Date: 26 Feb 2024)
| Unit code: | CCN111 |
|---|---|
| Credit points: | 12 |
| Equivalent: | CCQ111 |
| Coordinator: | Bernadette Hyland-Wood | b.hylandwood@qut.edu.au |
Overview
Knowing how to analyse social media data sets to answer questions and make decisions that improve content and engagement is a fundamental skill for contemporary communication professionals. It is also essential that future focused communication professionals have both an understanding of how computational technologies transform the world of communication, and the hands-on skills to collect and analyse data. It is included in the early part of the program to develop your foundational data analytics knowledge and computational thinking.
Learning Outcomes
On successful completion of this unit you will be able to:
- Collect and analyse social media data using industry-standard tools.
- Generate data visualisations to gain insights and communicate with audiences.
- Produce data-driven reports for stakeholders.
- Discuss social, ethical and legal implications of data collection.
Content
This unit will explore the following topics:
- Introduction to the theory and practice of social media data analytics
- The role of analytics in informing effective social media communication and engagement
- Common social media analytic tools, including Tableau
- Data analysis process - collection, wrangling, manipulation and visualisation
- The limitations, and social, ethical and legal implications of collection of online data
- Writing data-driven reports for clients and stakeholders
Learning Approaches
This unit is taught via a blended approach that combines elements of online delivery and face-to-face.
Face-to-face learning activities include lectures and tutorials supported by additional online activities and materials. This approach requires students to complete online activities independently, prior to attending the face-to-face classes conducted in collaborative learning spaces. Indicative learning experiences in this unit include:
- attending lectures
- participating in class discussions in the form of tutorials
- viewing mini-lecture videos
- reading book chapters, scholarly and industry articles
- applying social media data analytic skills using industry standard applications and tools
- collaborating with peers
Feedback on Learning and Assessment
You will receive feedback on your learning in a variety of ways, including:
- Informal formative feedback will be provided via pre-workshop and/or in workshop quizzes
- Formal written or recorded feedback on both formative and summative assessment tasks in addition to the grade on the Criterion Reference Assessment sheet.
Assessment
Overview
In this unit students will complete two assessment tasks:
- Analytics Presentation – Students will be required to complete a data analytics task and write the speaker’s notes for their presentation. This assessment will measure students' ability to use industry standard tools to import and analyse social media data, report their findings and make recommendations to address communication engagement.
- Analytics Project – This assessment provides students with an opportunity to combine the skills and data analytics knowledge they have acquired in the unit and apply it to a ‘real world’ case study to enhance their professional career and job opportunities. It has been designed to provide students with the opportunity to design and implement a data analytical project, and demonstrate their understanding of social, ethical, and legal issues associated with data collection and analysis.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Analytics Presentation
You will produce a data analytics workbook, accompanied by the speaker’s notes, based on a brief. Your submission should provide an analysis of the data, generate visualisations, and include a summary of the insights, limitations and justified recommendations for future action.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Analytics Project
You will design an analytics project, collect relevant data for it, and present your analysis and findings in the form of a report. You are expected to consider ethical and legal implications of the task. Your assignment will be submitted in the form of a dataset, a Tableau workbook, and a written report.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Software
You will be instructed to install common social media analytic tools, such as Tableau and Python. These software can be obtained for free or accompanied by student or trial licenses.
Risk Assessment Statement
For risks associated with using campus buildings or facilities, refer to the Tier 1 General Health and Safety Induction.
This unit requires you to engage in the use of social media and therefore you need to take appropriate steps to ensure that your privacy settings are up-to-date. For assistance on updating your privacy settings visit the Managing your privacy on social media page on the QUT web site. You may also like to have a look at the Creating a Better Online You online module, which explores how to promote yourself on social media, how to protect yourself online and your wellbeing online. If you have concerns about using social media, because of privacy, social, cultural or political reasons please discuss these privately with the unit coordinator.
You are advised to back-up your digital files on a regular basis to ensure work is not lost if there is a hardware failure. Information about the free file storage provided by QUT for students is available on the Storing your files page.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.KC86 Graduate Certificate in Digital Communication
- Propose data-driven solutions to contemporary communication issues
Relates to: ULO1, ULO3, Analytics Presentation, Analytics Project - Analyse data using industry standard tools and platforms
Relates to: ULO1, ULO2, Analytics Presentation, Analytics Project - Analyse critical issues in media and communication industries.
Relates to: ULO4, Analytics Project - Tailor culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO2, ULO3, Analytics Presentation, Analytics Project
KC87 Graduate Diploma in Digital Communication
- Independently propose data-driven solutions to contemporary communication issues
Relates to: ULO1, ULO3, Analytics Presentation, Analytics Project - Analyse data using industry standard tools and platforms leveraging advanced capabilities
Relates to: ULO1, ULO2, Analytics Presentation, Analytics Project - Analyse critical issues in media and communication industries with consideration for diversity.
Relates to: ULO4, Analytics Project - Tailor culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO2, ULO3, Analytics Presentation, Analytics Project
KC88 Master of Digital Communication
- Independently propose innovative, data-driven solutions to contemporary communication issues
Relates to: ULO1, ULO3, Analytics Presentation, Analytics Project - Analyse data using industry standard tools and platforms leveraging advanced capabilities to address industry and research problems
Relates to: ULO1, ULO2, Analytics Presentation, Analytics Project - Evaluate critical issues in media and communication industries.
Relates to: ULO4, Analytics Project - Tailor and implement culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO2, ULO3, Analytics Presentation, Analytics Project
Unit Outline: Flexible Period - 08A 2024, Kelvin Grove, Internal (Start Date: 22 Jul 2024)
| Unit code: | CCN111 |
|---|---|
| Credit points: | 12 |
| Equivalent: | CCQ111 |
| Coordinator: | Bernadette Hyland-Wood | b.hylandwood@qut.edu.au |
Overview
Knowing how to analyse social media data sets to answer questions and make decisions that improve content and engagement is a fundamental skill for contemporary communication professionals. It is also essential that future focused communication professionals have both an understanding of how computational technologies transform the world of communication, and the hands-on skills to collect and analyse data. It is included in the early part of the program to develop your foundational data analytics knowledge and computational thinking.
Learning Outcomes
On successful completion of this unit you will be able to:
- Collect and analyse social media data using industry-standard tools.
- Generate data visualisations to gain insights and communicate with audiences.
- Produce data-driven reports for stakeholders.
- Discuss social, ethical and legal implications of data collection.
Content
This unit will explore the following topics:
- Introduction to the theory and practice of social media data analytics
- The role of analytics in informing effective social media communication and engagement
- Common social media analytic tools, including Tableau
- Data analysis process - collection, wrangling, manipulation and visualisation
- The limitations, and social, ethical and legal implications of collection of online data
- Writing data-driven reports for clients and stakeholders
Learning Approaches
This unit is taught via a blended approach that combines elements of online delivery and face-to-face.
Face-to-face learning activities include lectures and tutorials supported by additional online activities and materials. This approach requires students to complete online activities independently, prior to attending the face-to-face classes conducted in collaborative learning spaces. Indicative learning experiences in this unit include:
- attending lectures
- participating in class discussions in the form of tutorials
- viewing mini-lecture videos
- reading book chapters, scholarly and industry articles
- applying social media data analytic skills using industry standard applications and tools
- collaborating with peers
Feedback on Learning and Assessment
You will receive feedback on your learning in a variety of ways, including:
- Informal formative feedback will be provided via pre-workshop and/or in workshop quizzes
- Formal written or recorded feedback on both formative and summative assessment tasks in addition to the grade on the Criterion Reference Assessment sheet.
Assessment
Overview
In this unit students will complete two assessment tasks:
- Analytics Presentation – Students will be required to complete a data analytics task and write the speaker’s notes for their presentation. This assessment will measure students' ability to use industry standard tools to import and analyse social media data, report their findings and make recommendations to address communication engagement.
- Analytics Project – This assessment provides students with an opportunity to combine the skills and data analytics knowledge they have acquired in the unit and apply it to a ‘real world’ case study to enhance their professional career and job opportunities. It has been designed to provide students with the opportunity to design and implement a data analytical project, and demonstrate their understanding of social, ethical, and legal issues associated with data collection and analysis.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Analytics Presentation
You will produce a data analytics workbook, accompanied by the speaker’s notes, based on a brief. Your submission should provide an analysis of the data, generate visualisations, and include a summary of the insights, limitations and justified recommendations for future action.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Analytics Project
You will design an analytics project, collect relevant data for it, and present your analysis and findings in the form of a report. You are expected to consider ethical and legal implications of the task. Your assignment will be submitted in the form of a dataset, a Tableau workbook, and a written report.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Software
You will be instructed to install common social media analytic tools, such as Tableau and Python. These software can be obtained for free or accompanied by student or trial licenses.
Risk Assessment Statement
For risks associated with using campus buildings or facilities, refer to the Tier 1 General Health and Safety Induction.
This unit requires you to engage in the use of social media and therefore you need to take appropriate steps to ensure that your privacy settings are up-to-date. For assistance on updating your privacy settings visit the Managing your privacy on social media page on the QUT web site. You may also like to have a look at the Creating a Better Online You online module, which explores how to promote yourself on social media, how to protect yourself online and your wellbeing online. If you have concerns about using social media, because of privacy, social, cultural or political reasons please discuss these privately with the unit coordinator.
You are advised to back-up your digital files on a regular basis to ensure work is not lost if there is a hardware failure. Information about the free file storage provided by QUT for students is available on the Storing your files page.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.KC86 Graduate Certificate in Digital Communication
- Propose data-driven solutions to contemporary communication issues
Relates to: ULO1, ULO3, Analytics Presentation, Analytics Project - Analyse data using industry standard tools and platforms
Relates to: ULO1, ULO2, Analytics Presentation, Analytics Project - Analyse critical issues in media and communication industries.
Relates to: ULO4, Analytics Project - Tailor culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO2, ULO3, Analytics Presentation, Analytics Project
KC87 Graduate Diploma in Digital Communication
- Independently propose data-driven solutions to contemporary communication issues
Relates to: ULO1, ULO3, Analytics Presentation, Analytics Project - Analyse data using industry standard tools and platforms leveraging advanced capabilities
Relates to: ULO1, ULO2, Analytics Presentation, Analytics Project - Analyse critical issues in media and communication industries with consideration for diversity.
Relates to: ULO4, Analytics Project - Tailor culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO2, ULO3, Analytics Presentation, Analytics Project
KC88 Master of Digital Communication
- Independently propose innovative, data-driven solutions to contemporary communication issues
Relates to: ULO1, ULO3, Analytics Presentation, Analytics Project - Analyse data using industry standard tools and platforms leveraging advanced capabilities to address industry and research problems
Relates to: ULO1, ULO2, Analytics Presentation, Analytics Project - Evaluate critical issues in media and communication industries.
Relates to: ULO4, Analytics Project - Tailor and implement culturally appropriate communication strategies and content for a variety of audiences and formats.
Relates to: ULO2, ULO3, Analytics Presentation, Analytics Project