Core Module Information
Module title: Machine Learning, AI and Ethics

SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SOE11165
Module leader: Ben Sebian
School The Business School
Subject area group: Management

There are no pre-requisites for this module to be added

Description of module content:

Artificial intelligence (AI), machine learning, and ethics will be crucial to changing business models and decision-making in the future. AI is changing businesses and the way they work. Businesses are facing new technological solutions connected with big data and advanced analytics. This module aims to introduce you to how we can use AI in different businesses connected with analytics. You will be exposed to different areas of AI and analytics, like business intelligence, concepts, drivers, and major technologies of AI, including machine learning techniques, deep learning, robotics, the internet of things, etc. You will learn about the different types and methods of machine learning and how businesses have applied machine learning successfully. In addition, you will be able to understand the role of risk and ethics within AI, and how AI, machine learning and ethics have an impact on the performance of organizations. You will understand the different types of models, what kind of business questions they help answer, or what kind of opportunities they can uncover. By the end of this module, you will have a foundational understanding of AI in business and be able to apply these technological solutions to your business environment.

Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: A critical understanding of different concepts of AI, machine learning and ethics for business.

LO2: Using a significant range of the principal professional skills, practices, techniques within AI related to business analytics.

LO3: Apply critical analysis and methods to a business module to find AI solutions, and identify the relationship between AI and the performance of the organization.

LO4: Apply machine learning with R/Python to develop practical and communication skills and find original and creative responses for business problems and issues.

Full Details of Teaching and Assessment

Indicative References and Reading List - URL:
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