About this day
Computer Science in Action is the ultimate enrichment day for Key Stage 5 computer science students. In five lively sessions experts from academia and industry will explore relevant topics that complement the curriculum. These sessions will motivate students to excel and give them ideas about future careers. An additional talk on examination success will equip students with the tools to succeed, and each student will receive a revision guide to take home.
Programme & speakers
Smart cities Matthew Leeke, University of Warwick
Matt will explore how state-of-the-art machine learning algorithms and the smart devices we use daily can solve some huge societal problems.
About Matthew Leeke
Matt is the director of undergraduate studies at the University of Warwick. His research addresses a variety of issues relating to the design of dependable systems.
Algorithms + Data Structures == Animation Jon Macey, National Centre for Computer Animation
Jon will explore the algorithms and data structures that make animation possible, introducing students to the programming and maths behind animation.
About Jon Macey
Jon Macey is a senior lecturer in Computer Animation at the prestigious National Centre for computer animation at Bournemouth University where he teaches programming.
Robots that Work Together Amanda Prorok, Prorok Lab
What happens when robots work together to achieve complex tasks, and how do we program our robots to work together efficiently? Amanda will explore new algorithms for coordination that solve some of the most pressing problems in transport and logistics.
About Amanda Prorok
Amanda Prorok is an Assistant Professor at Cambridge University, and a Fellow of Pembroke College. Her research lab designs algorithms for coordinating systems composed of multiple autonomous robots.
Distributed Methods for Big Data Rebecca Tickle, University of Nottingham
Huge volumes of data are generated and collected every day, creating new challenges for data analytics. In this talk, we will look at the distributed data structures and algorithms that make it possible to extract valuable information from big data.
About Rebecca Tickle
Rebecca Tickle is a PhD student in the School of Computer Science at the University of Nottingham. Her research area is the application of computational intelligence to improve data mining of big data streams.