Managing Artificial Intelligence in Business

• Credit value: 15 credits at Level 7
• Convenor: to be confirmed
• Assessment: a 4000-word essay (100%)

In this module we introduce you to the foundational concepts and applications of artificial intelligence (AI) within a business context. You will explore the basics of AI, including machine learning such as supervised, unsupervised and reinforcement learning, as well as neural networks and deep learning. You will develop practical programming skills in Python and learn about essential topics such as variables, expressions, data types, conditional statements, loops and functions.

By the end of the course, you will be equipped with the knowledge and skills to understand AI technologies and business applications, critically analyse their impact and prepare for more advanced AI studies.

Indicative syllabus

• Introduction: basics of AI; AI and business
• Machine learning basics: supervised, reinforcement and unsupervised learning
• Neural networks and deep learning
• AI applications in business
• Python programming: variables, expressions, statements and operations; conditional statements (if, then, else); iterations (while loop and for loop); strings and lists; functions; regression analysis; binary classification

By the end of this module, you will be able to:

• understand basic AI concepts and their significance in business
• recognise and describe various AI applications in different business contexts
• understand and explain the principles of supervised, unsupervised and reinforcement learning
• demonstrate Python programming skills and write basic Python programs involving variables, expressions, conditional statements, loops, strings, lists, and functions
• implement AI techniques and apply AI techniques such as regression analysis and binary classification to business problems.