Course Title: Future Skills: AI Strategy and CX Strategy and Design
Part A: Course Overview
Course Title: Future Skills: AI Strategy and CX Strategy and Design
Credit Points: 12.00
Flexible Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COMM2849 |
City Campus |
Postgraduate |
345H Media and Communication |
Internet |
JulDec2021 (All) |
COMM2849 |
City Campus |
Postgraduate |
345H Media and Communication |
Internet |
JanJun2022 (All) |
COMM2849 |
City Campus |
Postgraduate |
345H Media and Communication |
Internet |
JulDec2022 (All) |
Course Coordinator: Dr Jenny Robinson
Course Coordinator Phone: please email
Course Coordinator Email: jenny.robinson@rmit.edu.au
Course Coordinator Location: Building 9 level 5
Course Coordinator Availability: please email
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
Course Description
This course is a learning experience that includes two of RMIT Online’s Future Skills short courses. It focuses on two important capability areas for digital communication professional – Artificial Intelligence (AI) and Customer Experience Strategy and Design.
AI refers to the intelligence demonstrated by computer systems in contrast to human intelligence, where computers interpret data and perform cognitive tasks such as making decisions. The AI Strategy component of the course focuses on equipping you with foundation AI concepts, ethics and applications including AI fundamentals, AI tools from Amazon Web Services, Natural Language Processing and robotics, machine learning and Neural Networks.
The Customer Experience Strategy and Design Course will prepare you with the capability to develop innovative, memorable and delightful customer experiences. Learn how to develop CX strategy including the creation of personas, conducting customer interviews, and mapping customer journeys. You will align the strategy for business fit, develop KPIs and plan for implementing change.
Objectives/Learning Outcomes/Capability Development
Program Learning Outcomes
This course contributes to the following program learning outcomes:
- Apply innovative and creative approaches to formulate digital communication strategies across diverse digital platforms in both local and global contexts.
- Analyse the needs of diverse stakeholders and develop engaging and ethically, culturally and socially appropriate digital content and storytelling solutions.
Course learning outcomes
On successful completion of this course you will be able to:
- Critically analyse the fundamentals and ethics of AI & Machine Learning to identify appropriate solutions to business problems and the associated challenges, limitations and opportunities.
- Present and contextualise AI and Machine Learning strategies in a professional manner for business stakeholders
- Synthesise and critically analyse the customer experience from new and existing data and make recommendations for their use
- Create and communicate a customer experience strategy including a journey map to achieve business goals
Overview of Learning Activities
This fully online course uses highly structured learning activities to guide your learning process and prepare you for your assessments. These are a combination of individual and peer-supported activities that are guided by online facilitators, with opportunities for feedback as you progress
Authentic and industry-relevant learning is critical to this course and you will be encouraged to critically compare and contrast what is happening in your context and in industry, and to use your insights.
Social learning is another important component and you are expected to participate in class and group activities, share drafts of work and resources and give and receive peer feedback. You will be expected to work efficiently and effectively with others to achieve outcomes greater than those that you might have achieved alone.
Above all, the learning activities are designed to maximize the likelihood that you will not only understand the course learning resources but also apply that learning to improving your own practice, for example by producing real-world artefacts and engaging in scenarios and case studies.
Overview of Learning Resources
Each learning activity contains the core resources, such as videos, podcasts, readings, templates, articles, industry tools and/or communities that you need to complete that activity, or links to those resources.
Additional learning resources designed into the course, will be clearly marked as supplemental. If your course teaching team finds additional resources during course delivery which they think can support or be of interest to the class cohort, these will be made available as required during the teaching period.
In your class environment, besides your learning activities you will also find
- All assessment briefs
- A course information page with a study schedule,
- Various communication tools to facilitate collaboration with your peers and facilitators, and to share information
The University Library has extensive resources for digital communication students. The Library has produced subject guides that includes quality online and print resources for your studies. The Library provides guides on academic referencing and subject specialist help via online library supports such as ‘Ask the library’ and your Liaison Librarian.
Overview of Assessment
This course is assessed through two portfolio assessments both of which must be completed.
Assessment Task 1 Artificial Intelligence (AI) Project
Linked CLOs: 1, 2
Weighting: 50%
Assessment Task 2: Customer Experience Strategy and Design Project
Linked CLOs: 3, 4
Weighting: 50%
If you have a long term medical condition, disability and/or other form of disadvantage it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or the Equitable Learning Services (ELS) if you would like to find out more: https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services