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Artificial Intelligence

Artificial Intelligence

This course introduces students to the rapid technological advances made in the simulation of human intelligence, its implications for society, and the debate over the risks posed by highly intelligent AI. With cutting-edge AI displaying increasingly ‘human’ abilities (such as learning and reasoning), there is no better time to study this exciting topic.

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Course Summary

Over the last decade, we have seen an upsurge in Artificial Intelligence (AI). Inspired by disciplines in statistics, biology, psychology and computer science, AI continues to proliferate a myriad of applications that aid human life. AI seeks to create systems that can learn just like humans. Fundamentally, AI algorithms can automatically learn and improve from experience without being explicitly programmed. The advancement of AI has been fuelled by exponentially growing amounts of data being collected by various systems. AI algorithms can make automatic inferences inspired by machine perception and an innate ability to recognise complex patterns from data. Consequently, we are poised to enjoy imminent technologies like self-driving cars, personalised medicine and personal household robots owing to successes in the field of AI.

No prior knowledge of AI or computing is required to participate in this course, all students need is an enthusiasm for learning. The course will equip students with relevant knowledge about the history, development and progression of AI and one of its subfields, Machine Learning (ML). Students will learn about key AI techniques, and applications in which they are applied. In doing so, they will be introduced to how machines make predictions and learn to ‘think’ like humans. This course aims to introduce key theoretical principles that enable AI technologies, namely supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.

Course Outcomes

What will you get out of the Artificial Intelligence Summer Course?

By the end of this two-week course, you will understand AI techniques to design and develop computer programs that can perform prediction tasks, for instance predicting stock prices on any exchange platform, and classification tasks, such as object detection. You will have created a real-time object detector that you will have tested on yourself and objects both inside and outside of your classroom. Real-time object detectors make self-driving cars able to ‘see’ just like humans. You will learn not only to code AI algorithms, but also to train and optimise them. By the end of the course, you will be able to access massive datasets, visualise patterns in them and instantiate ML algorithms that can learn from these datasets for specific applications.


Oxford College Accommodation

  • Location Oxford
  • Ages Ages: 12+, 13-15, 16-18, 19+
  • Bedroom Type Single and twin
  • Bathroom Type En-suite & Shared (single gender)
  • Year Built Founded in 1096 (University of Oxford)

Cambridge University Accommodation

  • Location Cambridge
  • Ages Ages: 13-15, 16-18
  • Bedroom Type Single and twin
  • Bathroom Type En-suite & shared (single gender)
  • Year Built Founded in 1209 (University of Cambridge)

Further Information

How to Enrol

Artificial Intelligence is part of the New Perspectives programme.

To visit New Perspectives and take Artificial Intelligence as a course option, just click the button below and follow the instructions.

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