Module overview
This course focuses on the other technologies beyond AI that are influencing business, creating new opportunities and threats. These include various blockchain solutions, the Internet of Things technology and the services it can enable, quantum computing and robotics. Taking a holistic approach to these disruptive technologies, a clearer picture of the future emerges.
Special attention is given to blockchain. Blockchain is revolutionizing business by enhancing transparency, security, and efficiency. It streamlines transactions, reduces fraud, and enables smart contracts, automating processes without intermediaries. Industries like finance, supply chain, and healthcare benefit from decentralized ledgers, fostering trust and innovation in operations.
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- How AI technologies can drive innovation and efficiency across various sectors, enhancing business strategies and competitive advantage.
- The ethical, social, and economic implications of AI deployment in business, emphasizing responsible management and decision-making.
- The analytical techniques necessary for AI-driven decision making, enabling effective strategy and problem-solving in complex business environments.
- The role and impact of AI in modern business practices, including its integration into business models and operations.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Utilize critical thinking and AI-enhanced problem-solving skills across diverse business scenarios, preparing you to address and resolve challenges swiftly and efficiently.
- Demonstrate effective project management skills, including the ability to plan, execute, and manage both time and resources in AI-driven projects, ensuring successful outcomes.
- Adapt to and manage change at an increasing faster rate, a vital skill in the rapidly evolving field of AI and management.
- Use library and other resources, including the application of bibliographical skills.
- Evaluate and select AI solutions for complex problems by distinguishing the real value from the hype.
- Employ digital literacy skills, particularly in utilizing AI technologies and data analysis tools, to drive decision-making and innovation in business practices.
- Use computing and IT resources effectively.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Effectively communicate complex AI and management concepts, research findings, and strategic solutions to a variety of stakeholders.
- Demonstrate proficiency in the use of AI tools and technologies for data analysis, aiding in the strategic decision-making process across various business contexts.
- Demonstrate practices that are ethical, responsible and sustainable.
Syllabus
The exact topics covered in this module will depend on the configuration of the team of tutors and their respective research areas within strategy and innovation management. The module may include, but is not limited to, the following topics:
•Blockchain technologies
•The Internet of Things
•Quantum computing
•Robotics
Learning and Teaching
Teaching and learning methods
Teaching methods include:
Lectures, interactive case studies, simulation game, directed reading, and private/guided study.
Learning activities include:
• Introductory lectures
• A groupwork: presentation
• Case study/problem solving activities
• Private study: argumentative essay
• Use of video and online materials
Class activities, such as problem solving activities, discussions and use of case studies will provide opportunities for you to gain feedback from you tutor and/or peers about their level of understanding and knowledge prior to any formal summative assessment.
Type | Hours |
---|---|
Independent Study | 116 |
Seminar | 10 |
Lecture | 24 |
Total study time | 150 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Assignment | 70% |
Group Case Study | 30% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Individual report | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Individual report | 100% |