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Programme Features

Course Leaders

The course has been developed and will be delivered by three Fellows of Kellogg College, Dr Nigel Mehdi, Dr Rob Collins, and Professor Max Van Kleek.

Dr Nigel Mehdi

  • Nigel was the Academic Director for the Kellogg AI programme in UAE and teaches on the MSc in Software Engineering at Oxford University
  • Nigel works at the intersection of information technology, the built environment, and urban sustainability.
  • He is a private practice consultant specialising in IT, software development, risk and process management.
  • Nigel gained his PhD from the London School of Economics and holds postgraduate qualifications in Politics, Development and Democratic Education, Digital Education and Software Engineering.

Dr Rob Collins

  • Rob has been teaching on the MSc in Software Engineering at Oxford University for over 25 years
  • He currently teaches the Classical Machine Learning Module on the MSc
  • He has been teaching the ‘AI Demystified’ course through Oxford’s Department for Continuing Education since 2017
  • He led the Technical Stream for Kellogg’s UAE AI course in Dubai
  • Rob delivers practical, business-oriented consulting in AI and Machine Learning through https://www.sent-ai-ance.com/

Max Van Kleek

  • Max Van Kleek is Associate Professor of Human-Computer Interaction with the Department of Computer Science, at the University of Oxford
  • He works in the Software Engineering Programme to deliver course material related to interaction design, the design of secure systems, and usability.
  • Max leads (as Co-Investigator) the EPSRC PETRAS project: ReTIPS, or Respectful Things in Private Spaces.

There will be support provided also through DPhil-student teaching assistants.

Course Features

The programme will be taught in Oxford over a single week. The programme teaches a balance between the technical and ethical elements of Artificial Intelligence, and the teaching week has AI in society as a cross-cutting theme. Sessions will cover the history of AI and where the field is now, looking at the latest developments in generative AI.

The programme encompasses interactive group sessions (4 to 6 participants in one group) in the mornings and hands-on workshops in the afternoons, covering the technical implementation of AI in a tried and tested format.

The programme is non-selective and there are no entry requirements other than a keen desire to explore the subjects, approaches and themes covered by the programme. Participants must be aged 18 and above, and no prior knowledge is required. You will study in one cohort of 30 participants, taught by highly experienced academics.

Course Outcomes

  • learn about the implications of AI in business and government.
  • gain a conceptual understanding of AI technologies through a business lens.
  • understand the principles of AI governance, ethics and the wider societal implications of AI.
  • gain knowledge of AI fundamentals and a grounding in the theory of data mining, statistics and machine learning.
  • be able to differentiate between various machine learning algorithms and their applications
  • work with industry-standard software tools.
  • Be part of a stimulating and immersive group of students, bringing a wide range of experiences to your cohort
  • Have access to the on-site library and IT facilities to support you with your academic work, as well as the College’s Hub café and Common Room which is the University’s only Passivhaus building.
  • Experience Oxford College life, living and sharing meals in a friendly and supportive learning environment – and even try an outing on the College punt if you please!
  • Attend a black-tie Oxford formal dinner in College Hall
  • Explore Oxford on a walking tour, and visit Oxford Colleges and world-renowned museums