8588 modules
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CHEM6175 2029-30
AI and Machine Learning in Chemistry
The module will introduce the fundamentals of a range of important techniques, so that the way that these models learn from data is understood. Applications will also be shown of applying AI and ML to chemistry. Workshops will give hands-on experience with running and training ML models and these methods will be applied to specific examples as part of the mini-project. -
PSYC3083 2028-29
AI Applications in Psychology
This module will provide an overview of how machine learning and Artificial Intelligence can be used to answer questions in different fields of psychology. -
PSYC6178 2026-27
AI Applications in Psychology
This module will provide an overview of how machine learning and Artificial Intelligence can be used to answer questions in different fields of psychology. -
PSYC3083 2027-28
AI Applications in Psychology
This module will provide an overview of how machine learning and Artificial Intelligence can be used to answer questions in different fields of psychology. -
PSYC3083 2026-27
AI Applications in Psychology
This module will provide an overview of how machine learning and Artificial Intelligence can be used to answer questions in different fields of psychology. -
PSYC6178 2025-26
AI Applications in Psychology
This module will provide an overview of how machine learning and Artificial Intelligence can be used to answer questions in different fields of psychology. -
PSYC6178 2027-28
AI Applications in Psychology
This module will provide an overview of how machine learning and Artificial Intelligence can be used to answer questions in different fields of psychology. -
PSYC3083 2029-30
AI Applications in Psychology
This module will provide an overview of how machine learning and Artificial Intelligence can be used to answer questions in different fields of psychology. -
MANG6585 2026-27
AI Ethics and Sustainability
This course focuses on the ethical integration and applications of Artificial Intelligence (AI) in business settings, with a specific emphasis on the challenges and opportunities related to algorithmic bias, inequalities, and diversity management as part of social sustainability. Taking a holistic approach to sustainability, students will explore the theoretical concepts and practical applications to understand how AI technologies can perpetuate or mitigate biases, create environmental issues and how this is all linked to economic sustainability. Based on critical evaluation of case studies regarding AI-induced inequalities, students will learn how to develop strategies for managing diversity and apply ethical frameworks to AI development and implementation. -
MANG6585 2025-26
AI Ethics and Sustainability
This course focuses on the ethical integration and applications of Artificial Intelligence (AI) in business settings, with a specific emphasis on the challenges and opportunities related to algorithmic bias, inequalities, and diversity management as part of social sustainability. Taking a holistic approach to sustainability, students will explore the theoretical concepts and practical applications to understand how AI technologies can perpetuate or mitigate biases, create environmental issues and how this is all linked to economic sustainability. Based on critical evaluation of case studies regarding AI-induced inequalities, students will learn how to develop strategies for managing diversity and apply ethical frameworks to AI development and implementation.