It was clear the audience was hugely impressed with the calibre of students and the complexity of the project work on display. The winner was Peeter Parna from Abertay University, a student studying Computer Games Technology whose winning project was “Physically based modelling of liquids for games using the GPU’s rasterization pipeline”.
Second place went to Marija Pinkute, a University of Edinburgh student whose project is aimed at the automatic generation of Tweet messages for news articles.
Third place was won by Damien Anderson, from the University of Strathclyde, for his project on generalised Video Game playing.
The Lockheed Martin Software Engineering Project Award went to Archibald ‘Sam’ Elliot, from the University of St Andrews, for developing a concurrency system for Idris and Erlang.
Petar Yordanov - University of Glasgow - Dynamic Noise and Pollution Campus Map
Emily MacDonald - University of Dundee - Cellular Geospatial Network Shapes: Efficient Generation and Persistence using Large Datasets
Liou Bain - Heriot Watt University - Predicting Cancel Survivability with a small dataset applying Data Mining Techniques
Marija Pinkute - University of Edinburgh - Automatic Generation of Tweet Mesages for News Articles
Damien Anderson - University of Strathclyde - Generalised Video Game Playing
Cyril Danilevski - University of Aberdeen - Phonetic Normalisation of Casual English
Oksana Kalinova - Glasgow Caledonian University - Java Code Performance Evaluation on Multi-core Processors: Functional Implementation vs. Imperative Implementation
Sam Elliot - University of St Andrews - A Concurrency System for Idris & Erlang
Frederick Leighton - University of Stirling - Affect, Interaction and Reaction in a Biofeedback Environment
Leslie Sheilds - Robert Gordon University - Application for the Creation of Harmonically Matched Playlists using Music Metadata Analysis
Peeter Parna - Abertay University - Physically Based Modelling of Liquids for Games Using the GPU's Rasterization Pipeline
Scott Coleman - Edinburgh Napier University - A/B Testing of Native iOS Apps
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