11332 modules
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AICE2002 2026-27
Artificial Intelligence and Learning Machines
This module introduces the fundamental concepts of machine learning and artificial intelligence. The content covers a broad range across the history of AI using computational, representational, algorithmic, and philosophical perspectives. The module looks at machine intelligence and machine learning as a fundamental attribute of artificial intelligence. -
AICE2002 2028-29
Artificial Intelligence and Learning Machines
This module introduces the fundamental concepts of machine learning and artificial intelligence. The content covers a broad range across the history of AI using computational, representational, algorithmic, and philosophical perspectives. The module looks at machine intelligence and machine learning as a fundamental attribute of artificial intelligence. -
AICE2002 2027-28
Artificial Intelligence and Learning Machines
This module introduces the fundamental concepts of machine learning and artificial intelligence. The content covers a broad range across the history of AI using computational, representational, algorithmic, and philosophical perspectives. The module looks at machine intelligence and machine learning as a fundamental attribute of artificial intelligence. -
CHEM6164 2025-26
Artificial Intelligence and Machine Learning in Chemistry
The aim of the module is to expose the students to modern chemical informatics, machine learning (ML) and artificial intelligence (AI) driven approaches for computational modelling and prediction, illustrated with applications to research in to the discovery of new pharmaceuticals and materials. The module will introduce the basic techniques of applying AI and ML to chemistry and the opportunity to apply these ideas to specific examples as part of a mini-project. -
CHEM6164 2026-27
Artificial Intelligence and Machine Learning in Chemistry
The aim of the module is to expose the students to modern chemical informatics, machine learning (ML) and artificial intelligence (AI) driven approaches for computational modelling and prediction, illustrated with applications to research in to the discovery of new pharmaceuticals and materials. The module will introduce the basic techniques of applying AI and ML to chemistry and the opportunity to apply these ideas to specific examples as part of a mini-project. -
CHEM6164 2028-29
Artificial Intelligence and Machine Learning in Chemistry
The aim of the module is to expose the students to modern chemical informatics, machine learning (ML) and artificial intelligence (AI) driven approaches for computational modelling and prediction, illustrated with applications to research in to the discovery of new pharmaceuticals and materials. The module will introduce the basic techniques of applying AI and ML to chemistry and the opportunity to apply these ideas to specific examples as part of a mini-project. -
PHYS6YYY 2030-31
Artificial Intelligence Applications in Physics
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PHYS6YYY 2028-29
Artificial Intelligence Applications in Physics
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PHYS6YYY 2029-30
Artificial Intelligence Applications in Physics
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PHYS3XXX 2029-30
Artificial Intelligence Dissertation
The first part of the course is devoted to exploring a given topic via group work, assessed via short, written summary (extended abstract) and oral presentation.
The second part consists of an individual dissertation that is assessed via a written report.
The content and the scope of both group work and individual dissertations are based on physics and astronomy ideas with the focus on independently researching them, report writing in a style of scientific papers, presentation skills as well as effective team working.