SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat
University of Southampton · England · SSPC6901
SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat is a subject at University of Southampton, England. It covers topics like artificial-intelligence, computer-vision, human-factors, machine-learning. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.
University of Southampton
SSPC6901
3.00
Topics covered
Degrees that include SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat
Frequently asked questions
What is SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat about?
SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat covers topics like artificial-intelligence, computer-vision, human-factors, machine-learning.
Which degrees include SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat?
SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat is part of 1 degree, including MEng Computer Science with Artificial Intelligence Typical offer: A*AA UCAS course code: G4GR Duration: 4 years.
How many credit points is SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat?
SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat at University of Southampton is typically around 3.00 credit points. Approximate — confirm with the university.
Where is SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat taught?
SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat is taught at University of Southampton, England.
Studying SSPC6901 2026-27 Introduction to AI This module introduces you to human-centred AI, an interdisciplinary approach to the development and application of AI systems that prioritise human well-being, ethics, and societal impact. The module will cover foundat?
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Sources: University of Southampton public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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