Prospective undergraduates are welcomed to the School of Computer Science for an undergraduate visiting day.
Event details
- When: 30th March 2016 14:00 - 15:30
- Format: Visiting Day
Prospective undergraduates are welcomed to the School of Computer Science for an undergraduate visiting day.
Prospective undergraduates are welcomed to the School of Computer Science for an undergraduate visiting day.
Prospective undergraduates are welcomed to the School of Computer Science for an undergraduate visiting day.
Prospective undergraduates are welcomed to the School of Computer Science for an undergraduate visiting day.
Prospective undergraduates are welcomed to the School of Computer Science for an undergraduate visiting day.
Prospective undergraduates are welcomed to the School of Computer Science for an undergraduate visiting day.
The results of the 2015 National Student Survey (NSS) were released this week and 100% of our students reported themselves “satisfied” with 93% responding that they were “very satisfied” with their course.
The School was also rated highly in a number of other categories including “Staff are good at explaining things”, “Feedback on my work has helped me to clarify things i didn’t understand”, “The course has helped me present myself with confidence” and “As a result of the course I feel confident in tackling unfamiliar problems”.
The NSS collects satisfaction levels from undergraduate students in the UK, via a survey. The survey is sent to all students in the UK a few months before they graduate and gets a very high return rate.
We are delighted that our recent graduates (pictured below) feel so positive about their student experience and wish them every success with future endeavours.
The IVF-predict application has been designed based on years of academic research carried out by top medical and academic laureates. Using data from more than 144,000 IVF cycles a mathematical model has been developed that allows couples to have the most accurate prediction of their chance of a live birth with IVF.
In conjunction with Dr Tom Kelsey here in the school of Computer Science, the complex formula has been transformed into a smartphone application based, calculator presented in just 9 simple steps.
The personalised, accurate and validated app has been designed to give couples the most accurate value (in %) which represents the rate of a successful outcome if they decide to undergo the IVF process. No other model predicts your chance of success with IVF taking into account your personal medical history. In addition, the application does not transmit any data outside of the device (see Privacy Policy), any data generated or calculations is stored on your device.
The research underpinning IVF-predict has now been published in the highly prestigious medical journal PLOS Medicine and is available for free download.
Find out more about IVF-Predict on the dedicated website, download the app for android or iOS and watch a short demonstration video on youtube.
On August 29th the School will be participating in the Great Scottish Swim, the team comprising Percy Perez, David Symons, Julie Dunsire, Alex Voss and Ruth Letham are swimming for Médecins Sans Frontières, an independent humanitarian charity that is committed to providing medical aid where it is most needed.
The team have been training hard in various pools around Fife in preparation for the swim challenge taking place in Loch Lomond. We also have photographic evidence of some team members road-testing their wetsuits at the East Sands.
Their target is £1k, visit the JustGiving page and reward all their hard work while supporting a great charity.
The School of Computer Science welcomes the opportunity to hear from Dr Babak Esfandiari from Carleton University, C
anada who will be delivering his talk on ‘Toward Workflow Management for Experimental Science?’.
Abstract: Data, code, and other digital scientific artifacts are often found (at least by this presenter) to be out-of-synch, unreliable, poorly organized and only partially available. This makes science often hard to reproduce. In this talk, I demo an online tool to manage the workflow of a scientific project, and I speculate over how or whether it can help address these issues.
Bio: Babak Esfandiari is an Associate Professor at Carleton University, a comprehensive university located in the capital of Canada, Ottawa, Ontario. He obtained his PhD from Montpellier II, which specializes in Science and Technologies. His research is in agent-based systems; network computing; object-oriented design and languages.