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INFS5730 Social Media Analytics in Practice  - 2023

Course Code :  INFS5730

Year :  2023

Term :  Term 2

Teaching Period : T2

Delivery Mode :  Multimodal

Delivery Format :  Standard

Delivery Location :  Kensington

General Course Information

Course Code :  INFS5730

Year :  2023

Term :  Term 2

Teaching Period :  T2

Is a multi-term course? :  No

Faculty :  UNSW Business School

Academic Unit :  School of Information Systems and Technology Management

Delivery Mode :  Multimodal

Delivery Format :  Standard

Delivery Location :  Kensington

Campus :  Sydney

Study Level :  Postgraduate

Units of Credit :  6

Useful Links

Handbook ClassTimetable

Course Details & Outcomes

Course Description

Social media and Web 2.0 mobile technologies have contributed to the emergence of digitally empowered consumers challenging businesses to thrive on social media as they are taking over online conversations. In this digital era, consumers are actively engaged to generate and disseminate content across social media platforms in the form of images, videos, text, and emotional icons. Businesses striving to stay ahead of the competition, take advantage of social media data to design and implement successful social media strategies.


In this course, we equip students with the necessary knowledge and skills to collect and analyse unstructured social media data using the most recent technologies such as R, SAS Visual text    analytics, Social Network Analysis, Microsoft Cognitive Services and Google Vision AI.

Tutorials are very practical and designed to challenge students to develop their critical and analytical thinking through real-world case studies and extensive hands-on activities to address  business problems. On successful completion of the course, students are expected to be able to demonstrate both a professional perspective as well as technological confdence regarding social media analytics and its implications on the business context.

Course Aims

This course develops students’ ability to use social media data for business purposes using state-of-the-art analytical software, the course advances students’ technical skills necessary to perform social media analysis and provide actionable recommendations/solutions to help companies address their business problems and thrive on social media.

Relationship to Other Courses

This course introduces students to the theoretical concepts of social media and develops students' ability to conduct social media analytics for business purposes using state-of-the-art  analytical software. The course also advances students' business skills to work on real-life case studies of companies' social media performance, derive actionable insights and design successful social media strategies.

Learning and Teaching Technologies

Moodle - Learning Management System | Microsoft Teams

Learning and Teaching in this course

This course focuses on both hands-on skills and application in the business context. To help    students achieve the objectives of the course, academic and practitioner-oriented materials     including journal/ practitioner articles, case studies and guest lectures will be provided. The     assignments and project can be demanding considered requirements to integrate the technical skills and the business knowledge.

In this course, there are dual responsibilities: staff are responsible for providing a learning           direction (project opportunity and access, theoretical information and assessment); students are responsible for reading all required readings, preparing for the in-class discussion and activities, participate proactively in all online and face-to-face discussions with respect to each other and   complete all hands-on exercises in order to fully grasp and appreciate the concepts of this          course.

Assessments

Assessment Structure

Assessment Item

Weight

Relevant

Dates

Program learning outcomes

Hands-on Assignment

Assessment

FormatIndividual

20%

Start DateTBA Due DateTBA

PLO1 : Business Knowledge

PLO2 : Problem Solving

PLO3 : Business Communication

Team Project Assessment FormatGroup

30%

Start DateTBA Due DateTBA

PLO1 : Business Knowledge

PLO2 : Problem Solving

PLO3 : Business Communication

PLO4 : Teamwork

PLO5 : Responsible Business

Practice

PLO6 : Global and Cultural

Competence

PLO7 : Leadership Development

Final Exam

Assessment

FormatIndividual

50%

Start DateTBA Due DateTBA

PLO1 : Business Knowledge

PLO2 : Problem Solving

PLO5 : Responsible Business

Practice

PLO6 : Global and Cultural

Competence

PLO7 : Leadership Development

Assessment Details

Hands-on Assignment

The Individual Hands-On Assignment consists of an analytical component of this course which   includes the completion of a textual analysis using SAS Visual Text Analytics. You will be             required to complete a SAS hands-on exercise individually in the due week. Your SAS hands-on    instructor is responsible for all hands-on sessions, students with problems regarding the hands-  on materials should always refer to their instructor frst. Detailed requirements of the assignment will be communicated on Moodle and discussed in the Week 1 lecture and tutorial classes.

Assessment Length

TBA

Assignment submission Turnitin type

This assignment is submitted through Turnitin and students can see Turnitin similarity reports.

Team Project

This project is to be undertaken in a team of 5 students. It involves the preparation of a report on the critical analysis and the design of a company's social media strategy. The requirements of    the assignment will be set out in the Team Assignment Specifcation on Moodle. The purpose of the team assignment is to develop students’ abilities to work in groups, conduct research,           critically assess fndings, and synthesize the components taught in the course, as well as to        prepare a professional and coherent report. The mark assigned to each member of the group      may be scaled based on peer assessment of each member's contribution.

Assessment Length

TBA

Assignment submission Turnitin type

This assignment is submitted through Turnitin and students can see Turnitin similarity reports.

Final Exam

The fnal exam may cover all material discussed in the course, the lecture notes, the              assignments, case studies and hands-on exercises. The exam will focus on an informed and well-reasoned argument that shows students’ ability to select, synthesize, apply and critically refect on course contents (rather than simply memorize and reproduce it).

Assessment Length

TBA

Assignment submission Turnitin type

Not Applicable

General Assessment Information

As a student at UNSW you are expected to display academicintegrity in your work and                interactions. Where a student breaches the UNSWStudentCode with respect to academic          integrity, the University may take disciplinary action under the Student Misconduct Procedure. To assure academic integrity, you may be required to demonstrate reasoning, research and the        process of constructing work submitted for assessment.

To assist you in understanding what academic integrity means, and how to ensure that you do    comply with the UNSW Student Code, it is strongly recommended that you complete the Working withAcademicIntegrity module before submitting your frst assessment task. It is a free, online  self-paced Moodle module that should take about one hour to complete.

You are expected to complete all assessment tasks for your courses in the School of Information Systems and Technology Management. Classes are highly practical and relevant to your assessments, so you are expected to attend at least 80% of all scheduled classes.

Where group assignments are used, team members are expected to work in a harmonious and professional fashion, which includes adequate management of non-performing members. You should inform your tutor as soon as possible if you experience problems within a project team. You may be required to evaluate the contribution of each team member (including yourself) in group work and marks for individual students may be adjusted based on peer assessment.

Grading Basis

Standard

Requirements to pass course

In order to pass this course, you must:

achieve a composite mark of at least 50 out of 100;

meet any additional requirements described in the Assessment Summary section.

You are expected to attempt all assessment requirements in the course.

Course Schedule

Teaching Week/Module

Activity

Type

Content

Week 1 : 29 May - 2 June

Lecture

The Rise of Social Media: Challenges and Opportunities

Workshop

Case study: Social Media use in the business context

Class-debate: Consumer empowerment in the digital era

Week 2 : 5 June - 9 June

Lecture

Social Media Strategy: why do companies thrive on social media while others fail?

INFS5730 Social Media Analytics in Practice - 2023                                                                               Printed: 20/6/2023 | 6 of 12


Workshop

Case study: Critical analysis of successful social media strategies in industry

Class debate: Analysis of Social Media Strategy @ UNSW Business School

Week 3 : 12 June - 16 June

Lecture

Applied Text Analytics using SAS Viya - Part 1

Workshop

Hands-On Activities on SAS Visual Text Analytics in SAS Viya - Part 1

Week 4 : 19 June - 23 June

Lecture

Applied Text Analytics using SAS Viya - Part 2

Workshop

Hands-On Activities on SAS Visual Text Analytics in SAS Viya - Part 2

Week 5 : 26 June - 30 June

Lecture

Social Media Analytics: Methods and Applications

Using R for social media data collection and analysis

Workshop

Hands-On data collection, cleaning and discretisation using R

Hands-On data analysis using R - keyword extraction

Week 6 : 3 July - 7 July

Lecture

Advanced Social Media Data Analytics using:

R sentiment analysis

AI-enabled analytics using Microsoft