| Unit name | The Role of AI in Digital Innovation |
|---|---|
| Unit code | INOVM0028 |
| Credit points | 20 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Mr. Ed Halliday |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
None |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one |
None |
| School/department | Centre for Innovation |
| Faculty | Faculty of Arts |
Why is this unit important?
Artificial Intelligence (AI) is reshaping industries by driving innovation, enhancing efficiency, and creating new business models. This unit delves into AI's transformative role in digital innovation, offering students hands-on experience with AI technologies. Through practical engagement with studios and agencies, students will understand AI's potential to revolutionise the media industry and beyond. This exploration is crucial for tomorrow’s leaders in digital innovation, preparing them to leverage AI in creative and impactful ways.
How does this unit fit into your programme of study?
Situated within the broader narrative of digital innovation, this unit provides an in-depth look at AI's specific impact on the field. It complements foundational knowledge gained in ‘Tools and Methods for Digital Innovation’ by focusing on AI's applications. As part of the postgraduate pathway, it builds towards advanced units by equipping students with the skills to incorporate AI into digital projects, enhancing their ability to create technologically sophisticated, innovative solutions.
An Overview of Content
This unit provides a thorough exploration of the fundamentals of artificial intelligence (AI) and its impact on digital innovation. Students will delve into case studies of AI applications across various industries, gaining insights into how AI is transforming different sectors. Additionally, the course involves collaborative projects with industry partners, where students apply AI solutions to real-world scenarios, enhancing their learning through practical experience.
Personal Development as a result of the unit
By engaging with this unit, students will develop in several key areas. In terms of knowledge, they will acquire a comprehensive understanding of AI technologies and their potential for innovation. In the realm of thinking, students will develop the ability to critically evaluate the role of AI in transforming industries, enhancing their analytical and strategic thinking skills. Moreover, students will gain practical experience in applying AI solutions to industry challenges, equipping them with valuable skills for their future careers in the digital sector.
Learning Outcomes
How You Will Learn
The unit uses an inquiry-based, applied learning approach, integrating real-world insights and industry collaboration. Students will engage in a variety of activities designed to enhance their learning experience. These include industry-led workshops, project development sessions, and mentoring by AI professionals.
To facilitate learning and preparation for the final assessment, students will participate in collaborative sessions that explore AI applications across various industries. These sessions are followed by practical workshops focused on AI tools. In addition, students will engage in critique and feedback rounds on their AI project proposals, which helps refine their understanding and application of AI.
Additionally, students will participate in peer-led critique sessions where they present their ongoing projects for feedback. These sessions are designed to help students refine their understanding and application of digital innovation tools in practical settings, enhancing their critical analysis, synthesis and problem-solving skills.
These activities are formative in nature, meaning they contribute to skill development and hands-on experience but do not directly affect the unit's final mark. Instead, they serve as crucial stepping stones towards mastering the skills and knowledge required for success in digital innovation.
An Individual Autoethnographic Reflective Critique is a reflective assignment where students analyse their personal experiences related to a project or learning activity. They must situate these experiences within a broader theoretical framework and draw on relevant academic literature to provide a deeper, contextual understanding of their actions and insights.
Tasks which help you learn and prepare you for summative tasks (formative):
Continuous mentorship sessions with AI specialists will enhance learning and project direction. An AI Project Scope document is required early in the Unit to receive feedback on technological and ethical considerations. An ‘AI Concept Demo’ will secure early-stage feedback from a diverse panel of experts.
Tasks which count towards your unit mark (summative):
Team Project, 3000 words or equivalent (75%). [ILOs 1, 2, 3, 4]
A team-produced presentation of a student-developed design solution, including research, prototype(s), and relevant user input.
For the Team Project, the word count will be shared across the group.
Individual autoethnographic reflective critique, 1000 words or equivalent (25%). [ILOs 1, 2, 3, 4]
An individual autoethnographic reflective critique on your input into the project.
When assessment does not go to plan
When required by the Board of Examiners, you will normally complete reassessments in the same formats as those outlined above. However, the Board reserves the right to modify the form or number of reassessments required. Details of reassessments are normally confirmed by the Centre shortly after the notification of your results at the end of the academic year.
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. INOVM0028).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the University Workload statement relating to this unit for more information.
Assessment
The assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
