CS /


Devdatt Dubhashi

Reflections on Gaps in our Curriculum and How to Fill Them


A new variant of our project based AI course

The AI course used to offer three pre-defined projects. The students chose one, and delivered the required program. They often saw no need to do background study or literature survey. Weaker groups needed to be dragged through the same steps, so separate supervisions wasted effort. Lastly, there was no breadth, and no way to correct a weak project definition. Now we have 3 stages: (a) a. crash course (2 weeks) through the text, with a group assignment; (b) a proposal (2 weeks), made by each group starting from one of about 40 project suggestions (or their own) with literature, preliminary experiments and benchmarks; (c) a demo of the program(s) and a report. Weekly submissions ensure the work develops steadily. This year's course has yielded much better work and reports and so also better grades.

Bengt Nordström

Exercise sessions can become interesting!

Ana Bove

Pros and cons of solutions to exercises

Here I would like to collect/discuss the opinion of people regarding whether to make solutions to the exercises in a course available or not.

Olga Caprotti

Mathematical markups: the dream of an interlingua for online mathematics

I will talk about the development of mathematical markup languages such as OpenMath and MathML, their current status and how it is still largely a dream.

Aarne Ranta

Multilingual On-Line Translation: how we got a European project and what has happened since then

Ramona Enache

The MOLTO Phrasebook: A High-Quality Translation Gadget for 14 Languages

We will present the first application we built in the MOLTO project - a multilingual phrasebook for 14 languages, that covers common sentences and greetings. It achieves good quality for translation, even when dealing with idiomatic constructions. A short overview on the facts and figures of the Phrasebook will be given, along with a demo.

Bengt Nordström

English is not a formal language

Caroline Olsson

Graham Kemp

Data Intensive Research and Education

In March 2010 I attended a workshop on "Data-Intensive Research: how should we improve our ability to use data" at the e-Science Institute in Edinburgh. The aim of this talk is to give a flavour of some of the current issues in data-intensive research, and to highlight that this area will become increasingly important.

Ana Bove

Formalisation of Mathematics

Some words about the new ForMath project.

Devdatt Dubhashi

Synthetic Biology and Computer Science