INFS5730 Social Media Analytics in Practice - 2023
Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: daixieit
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
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 |
2023-06-25