WICS Coffee Break is back!

Women in Computer Science is back and are excited to invite you to the first coffee break of the academic year. This is a perfect opportunity for incoming students and returning students to meet each other and academic staff in the School.

Event Details:

  • Date: Wednesday 11th September
  • Time: 14:00-15:00
  • Where: Jack Cole Coffee Area

Chat, coffee and snacks available!

Orientation 2024

We look forward to welcoming all our students to the School for the new academic year.

Details of the events for staff and students scheduled for the week commencing 9th September are in the Computer Science Orientation Programme.

More information on the University Orientation and Induction Events provides students with an overview of the University, and important dates to mark in your calendar.

GAP Days Summer 2024 @ St Andrews

The School of Computer Science hosted this years Summer GAP Days between 26th August and 30th August.

GAP Days are workshops where developers and users with programming experience are invited to influence the future development of [GAP] by initiating and contributing to discussions and coding sprints.

These GAP Days have been special as we celebrated 10 years of the [Digraphs] package as well as 10 years of [GAP Days] (to the week!).

We had a great selection of speakers and attendees from varied backgrounds, which cumulated in the release of the re-vamped GAP webpage, and over 30 new versions of packages!

CS Graduation Reception

On behalf of the school, we would like to invite our Graduating Students and your guests to our upcoming graduation reception.

Please join us in celebrating your achievements and marking this significant milestone in your academic journey with a glass of bubbly and some cakes from Fisher and Donaldsons

    • Date: Wednesday, 12th June
    • Time: 10:30 AM – 12:30 PM
    • Location: Jack Cole Coffee area

We look forward to seeing you there.

Best Wishes,

The Admin Team

Distinguished Lecture series 2024

This years Distinguished Lecture series was delivered yesterday ( Tuesday 12th March) by Professor Neil Lawrence, University of Cambridge

In his talk on, ‘The Atomic Human Understanding Ourselves in the Age of AI’ he gave an overview of where we are now with machine learning solutions, and what challenges we face both in the near and far future. These include the practical application of existing algorithms in the face of the need to explain decision-making, mechanisms for improving the quality and availability of data and dealing with large unstructured datasets.