KV7003 - AI and Digital Technology

What will I learn on this module?

In this module you will learn various digital technologies that will work with AI for various real-world applications, and investigate how these technologies can transform the business, finance, manufacturing, etc. The module will cover the following key topics, such as:
• Digital transformation technology
• Artificial intelligence
• Machine learning
• Big data
• Internet of Things (IoT)
• Blockchain
• Robotics
• Clouds
• Cyber security and privacy
• Industry 4.0

How will I learn on this module?

This module will be delivered using lectures and seminars. Traditional lectures will impart to you a holistic high level understanding of modern digital technology that is powered by AI technologies, to help you to develop a comprehensive understanding of the technological background to the subject matter.

You will learn through a combination of learning and teaching methods including lectures, seminars, and directed independent learning. Lectures will offer you the opportunity to develop your knowledge of the principles and concepts of AI and other enabling digital technologies. The seminars will be used to reinforce your learning from the lectures through the use of examples, case studies, and research papers which you will research, discuss and receive feedback from the tutors. Seminars will enable you to develop your ability to think independently and make judgements on matters relating to AI and other enabling digital technologies. The rationale for the problem solving tasks during seminars is to support your learning by finding AI solutions for real-world scenarios that are summarised from the industry projects that Northumbria University has taken in the past years. The aim is to broaden and deepen your understanding of the theoretical and practical aspects of the subject, which in turn will help broaden your professional skills and abilities. The seminars also form a significant opportunity to work in groups and apply the concepts taught in lectures on a selected industry project scenarios that form the basis of the assessments.

You will have electronic assess, via the university’s e-learning portal and online library resources, to all learning materials, relevant text books and seminar materials.

You will be expected to undertake directed and independent learning to support your development.

How will I be supported academically on this module?

Academic support for this module will be provided by tutors in a variety of ways to suit your individual needs.

The seminar sessions will encourage you to identify and explore unconsolidated areas of learning to support your progression through the module. Coursework feedback will be provided via the module electronic portal site addressing generic consideration of your work. Individual feedback will be provided to coursework submissions to clarify points of learning that have not been fully assimilated. You will receive marked coursework with written feedback on Blackboard.

Resources from lecturers and seminars will be uploaded onto the University’s Blackboard site. The reading list for the module is held online and will be accessible via the University’s Blackboard site. The list will allow you online access to the key resources on the subject.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

Knowledge & Understanding:

1. Understanding of the basic concepts regarding AI and the enabling digital technologies

2. Able to articulate a broad awareness of the social aspects of AI and digital technologies

Intellectual / Professional skills & abilities:

3. Ability to design and recommend AI solutions with the support of the enabling digital technologies for projects in your field

4. Ability to review literature to find, present and proof the solutions for real-world scenarios

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

5. Developing and reinforcing the ethical characteristics of a Northumbria graduate as you consider the values that underpins ethical approaches to applying AI and digital technologies (the students will have the opportunity to reflect on how these are linked to their own values).

How will I be assessed?

The summative assessment will be through individual coursework (85%) and a demonstration (15%). Learning outcomes 1, 2, 3, 4 and 5 will be assessed by both assessment components. The individual coursework will take the form of a technical report or an academic paper.

You will have the opportunity to discuss your own solution to problems related to your assessment which do not directly count towards your final marks but test and check you understanding of key subjects. Accordingly during seminars you will also solve problems and engage in discussion. The intention is to present an open learning forum where you are safely challenged to explore the boundaries of the discussed topic within the subject area. Verbal formative feedback will be provided by your tutor during seminar sessions.

Students will be given written feedback on the summative assessments which they can feed forward
into future assessment in this subject area.





Module abstract

This module will provide a general introduction to the subject matter relating to the applications of Artificial Intelligence (AI) to different fields, such as business, finance, manufacturing, health, and energy. Successfully completing the module will provide you with the holistic understanding of the capability of AI with the support of other digital technologies to empower various real-world applications. In particular, you will have a high-level understanding of the enabling technologies of AI, such as the basic computing network and communication technologies, the clouds, and the Internet of Things, which jointly provide the fundamental architecture for data collection and information gathering. In addition, what are the common artificial intelligence, machine learning and big data algorithms and what they can do in relating to real-world applications will also be covered. From this, you will also be introduced to the technologies that work on top of these fundamentals, such as robotics, computer vision and other operational research or decision making tasks. Some of the social aspects of these digital technologies and AI, such as privacy and security will also be covered. The module will use case studies to support the seminars, which are developed from the consultancy, knowledge transfer and other industry projects that Northumbria University has conducted in the past years. There will be opportunity throughout the delivery of the module to attend seminars, where you can practice designing solutions for typical problems in industry and gain feedback from your module tutors. This feedback will help prepare you for the module’s formally marked coursework that will be a paper style technical report or literature review and a presentation.

Course info

Credits 20

Level of Study Postgraduate

Mode of Study 1 Year Full-Time

Department Computer and Information Sciences

Location City Campus, Northumbria University

City Newcastle

Start September 2024

Fee Information

Module Information

All information is accurate at the time of sharing. 

Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.  

Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.


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