About this day
This inspirational day of KS5 computer science will take your students to the cutting edge in fields from computer vision, software development and algorithms to pure programming and computer systems. Five renowned speakers from universities, industries and the media will reveal computer science at its very best and your students will have a whole lot of fun along the way. This day also features a special session with hints and tips for examination success.
Programme & speakers
The magic of computer science Peter McOwan, Queen Mary University of London
From magic tricks to being able to do the (almost) impossible, computer science and mathematics underpin the modern world. Join Peter to discover how to create magic tricks with maths, and use computer vision to better understand what humans see.
About Peter McOwan
Peter is a Professor of Computer Science in the School of Electronic Engineering and Computer Science at Queen Mary, University of London. His research interests are in visual perception, mathematical models for visual processing, cognitive science and biologically inspired hardware and software and science outreach.
Venice, elections and computer security Miranda Mowbray, Research Scientist
In the 13th century an apparently bizarre method was used to elect the ruler of Venice. It turns out that this method has some useful properties that weren’t noticed for centuries, and its
design has an application to modern computer security. This is just one example of how systems that apparently have nothing to do with IT can provide useful ideas to help design secure IT systems.
About Miranda Mowbray
Miranda Mowbray formerly worked as a research scientist for Hewlett-Packard Enterprise, finding new ways of analyzing data to detect attacks on computer networks. Her PhD is in Algebra, from London University. She is a Fellow of the British Computer Society.
A global problem Matthew Leeke, University of Warwick
By 2050 the global population will be 9 billion, with 7 billion people in urban area. What happens when the global population puts our cities at breaking point? More importantly, how can we be ready for that explosion in demand for every resource we have. In this session we will explore how computer science can leverage state-of-the-art machine learning algorithms and the smart devices we used everyday to solve some of these huge problems. From frontline policing and government intelligence to social networking and marketing, we will see how the analysis of personal data is fundamentally changing the way our world works.
About Matthew Leeke
Matt is Associate Professor at the University of Warwick where he is also the director of undergraduate studies. His research addresses a variety of issues relating to the design, implementation and evaluation of dependable systems.
Examiner's session Paul Long, ICT Trainer and Author
This is a special session on examination success designed to provide students with the tools to excel.
About Paul Long
Paul Long spent many years as the Principal Moderator and Principal Examiner for OCR’s AS Level. He has written text books and led training for teachers across the UK and internationally.
How to program a cell Jasmin Fisher, Microsoft Research
Jasmin will talk about the incredible algorithms she designed that are tailored for modelling and analysing biological networks and show how these algorithms could lead to programmable human cells.
About Jasmin Fisher
Jasmin Fisher is a Senior Researcher at Microsoft Research Cambridge in the Programming Principles & Tools group
Crowdology: how computer science keeps you safe Martyn Amos, Manchester Metropolitan University
Crowd science uses computing, psychology and design to study people en masse. Martyn will show how this new science keeps us safe, as well as highlighting some surprising facts about how we behave in crowds.
About Martyn Amos
Martyn Amos is Professor of Novel Computation at Manchester Metropolitan University, where he is Director of the Informatics Research Centre. His research focusses on the development of new ways of computing, based on natural processes, and the study of complex systems using computational techniques.