Unit rationale, description and aim
A prominent output of web and social media is the generation of massive amounts of data, which can be utilised for generating exceptional value, e.g. for predicting customer behaviour. Due to the high volume, velocity, and complexity of web and social media, special tools, technologies and methods are required to obtain and analyse this type of data.
In this unit students will learn the methods and software tools for accessing, analysing, and visualising social media data. This unit also explores the benefits and challenges of analysing web and social media data in real-time; and the technologies to analysing social media data for trends and patterns. The aim of this unit is to equip students with knowledge, skills, and tools for accessing, analysing web and social media data in an ethical manner and generating insightful information to support decision making and improve organisational performance.
Campus offering
No unit offerings are currently available for this unitLearning outcomes
To successfully complete this unit you will be able to demonstrate you have achieved the learning outcomes (LO) detailed in the below table.
Each outcome is informed by a number of graduate capabilities (GC) to ensure your work in this, and every unit, is part of a larger goal of graduating from ACU with the attributes of insight, empathy, imagination and impact.
Explore the graduate capabilities.
Identify the implications, benefits, and challenge...
Learning Outcome 01
Access web social media data and understand the et...
Learning Outcome 02
Apply tools and methods to identify insightful pat...
Learning Outcome 03
Present arguments supported by data analysis that ...
Learning Outcome 04
Content
Topics will include:
- Basic concepts in web and social media data mining
- Implications, benefits and ethical/legal/technical challenges of analysing web social media data
- Methods and tools for gathering web and social data
- Methods and tools for identifying trends in social data
- Visualising web and social media data
- Web Analytics
Assessment strategy and rationale
Assessment methods incorporate problem-based tasks, case studies, and practical/hands-on tasks that are relevant to real-world needs. The first assessment item consists of several problem-based tasks designed to develop students' web and social media data mining skills and prepare them for the next two assessment tasks. Assessments 2 and 3 allow students to demonstrate the depth of their knowledge and understanding of web and social media data analytics technology concepts and tools. In assessment task 2 students will develop a proposal and plan for using the web and social media data analytics to solve a real-world problem. In assessment 3, students will provide evidence of their data analysis, and report their data findings/insights.
To pass this unit, students are required to achieve an aggregate mark of at least 50%. Marking will be in accordance with a rubric specifically developed to measure the level of achievement of the learning outcomes for each item of assessment. Students will also be awarded a final grade which signifies their overall achievement in the unit.
Overview of assessments
Assessment 1: Developmental exercises This assess...
Assessment 1: Developmental exercises
This assessment consists of a series of weekly exercises.
The feedback from this assessment will help students to be ready to apply the concepts in the next assessments.
Submission Type: Individual
Assessment Method: Practical task
Artefact: Program files
25%
Assessment Task 2: Project – Stage 1 Assessment 2...
Assessment Task 2: Project – Stage 1
Assessment 2 includes a research plan for a Social Media Analytics Project.
Submission Type: Group assignment
Assessment Method: Research & Data Analysis
Artefact: Report
25%
Assessment Task 3: Project – Stage 2 In Assessmen...
Assessment Task 3: Project – Stage 2
In Assessment 3 students will provide evidence of their data analysis and report their data findings/insights regarding the Social Media Analytics Project students have planned in assessment 2.
Submission Type: Group assignment
Assessment Method: Research & Data Analysis
Artefact: Report + Recorded or in-class presentation
50%
Learning and teaching strategy and rationale
Students should anticipate undertaking 150 hours of study for this unit, including class attendance, readings, online forum participation and assessment preparation.
This unit is offered in different modes to cater to the learning needs and preferences of a range of participants and maximise effective participation for isolated and/or marginalised groups.
Attendance Mode
In attendance mode, students will require face-to-face attendance in blocks of time determined by the School. Students will have face-to-face interactions with lecturer(s) to further their achievement of the learning outcomes. This unit is structured with required upfront preparation before workshops. The online learning platforms used in this unit provide multiple forms of preparatory and practice opportunities for you to prepare and revise.
Online Mode
This unit uses an active learning approach to support students in the exploration of the essential knowledge associated with working with technology. Students can explore the essential knowledge underpinning technological advances and develop knowledge in a series of online interactive lessons and modules. Students are given the opportunity to attend facilitated synchronous online seminar classes with other students and participate in the construction and synthesis of knowledge, while developing their knowledge of working with technology. Students are required to participate in a series of online interactive workshops which include activities, knowledge checks, discussion and interactive sessions. This approach allows flexibility for students and facilitates learning and participation for students with a preference for virtual learning.