Modules

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: Sujoy Bhattacharya
School The Business School
Subject area group: Management
Prerequisites

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
2024/5, Trimester 2, IN PERSON,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: IN PERSON
Location of delivery: CRAIGLOCKHAR
Partner:
Member of staff responsible for delivering module: Sujoy Bhattacharya
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Lecture 15 Lectures will present different theoretical concepts and models of machine learning, AI, and ethics connected with practicality. In-class debate and discussion: We will use different examples of decision-making with analytics and encourage students to participate in our discussion. This will help you develop your critical thinking and skills in machine learning, AI, and ethics.
Face To Face Tutorial 10 Within the tutorial, we will have a group discussion on how to use machine learning and AI to improve the performance of an organisation. We will also focus on ethical issues within AI.
Face To Face Practical classes and workshops 20 In workshops, you will apply practical techniques to understand how we can use machine learning and AI in different businesses. In this case, you will use analytical software in the computer labs and focus on real business situations.
Online Guided independent study 155 Direct reading. You will have to read materials about specific topics before you come in the class. You will use online materials (e.g., codes, articles, textbooks, videos, etc.) to understand in depth the content of the module.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Essay 70 1~2~3 Week 13 , WORDS= 2000 words You will: 1. Focus on how AI with machine learning related to business analytics contributes to the performance and success of organizations. 2. Understand ethics in AI and any potential risk for businesses.
Discussion/Participation 15 1~2 Week 5 HOURS= 1 hour You will have to attend tutorials, and complete two tasks. There will be two tasks (15%) within tutorials related to applying AI solutions and methods to a business module and identify the relationship between AI.
Practical Skills Assessment 15 3~4 Week 8 HOURS= 1 hour You will have to attend workshops and complete two practical tasks (15%) related to applying machine learning with R/Python to develop practical skills and find answers to business questions.
Component 1 subtotal: 30
Component 2 subtotal: 70
Module subtotal: 100

Indicative References and Reading List - URL:
Contact your module leader
 

Related information