Student Response Systems: enabling instant feedback

These PowerPoint slides supported an ILIaD workshop in September 2016.

Zappers: why you should be using them

A "vodcast" by David Read. This short Camtasia presentation of a narrated powerpoint presentation (14 minutes) is intended to support academic staff who are interested in using audience response systems (or zappers as they have become known at Southampton).

CHEM1012 Surveys 1 & 2 raw data

Student response to fully-flipped chemistry module

Multimedia Systems

These are the materials for the Multimedia Systems course run in ECS. Multimedia Systems is taught rather differently than most courses. Although there is a lecture series, this is to support the main activity - the organisation and participation is a student conference. The coursework is to produce a short paper on a chosen topic to be presented as a paper, poster or demonstration at a course conference to be held at the end of the semester. The process of producing and reviewing the coursework and then participating in the conference has been designed to be the means by students cover the full range of material associated with Multimedia Systems.

Multimedia Systems Overview - What is a Conference?

These are the introduction slides for the Multimedia Systems Course in ECS. They introduce the unusual structure of the course (it is run as a student conference), and explains the shape and purpose of an academic conference.

Data-Driven Text Generation using Neural Networks & Provenance is Complicated and Boring — Is there a solution?

Title: Data-Driven Text Generation using Neural Networks Speaker: Pavlos Vougiouklis, University of Southampton Abstract: Recent work on neural networks shows their great potential at tackling a wide variety of Natural Language Processing (NLP) tasks. This talk will focus on the Natural Language Generation (NLG) problem and, more specifically, on the extend to which neural network language models could be employed for context-sensitive and data-driven text generation. In addition, a neural network architecture for response generation in social media along with the training methods that enable it to capture contextual information and effectively participate in public conversations will be discussed. Speaker Bio: Pavlos Vougiouklis obtained his 5-year Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2013. He was awarded an MSc degree in Software Engineering from the University of Southampton in 2014. In 2015, he joined the Web and Internet Science (WAIS) research group of the University of Southampton and he is currently working towards the acquisition of his PhD degree in the field of Neural Network Approaches for Natural Language Processing. Title: Provenance is Complicated and Boring — Is there a solution? Speaker: Darren Richardson, University of Southampton Abstract: Paper trails, auditing, and accountability — arguably not the sexiest terms in computer science. But then you discover that you've possibly been eating horse-meat, and the importance of provenance becomes almost palpable. Having accepted that we should be creating provenance-enabled systems, the challenge of then communicating that provenance to casual users is not trivial: users should not have to have a detailed working knowledge of your system, and they certainly shouldn't be expected to understand the data model. So how, then, do you give users an insight into the provenance, without having to build a bespoke system for each and every different provenance installation? Speaker Bio: Darren is a final year Computer Science PhD student. He completed his undergraduate degree in Electronic Engineering at Southampton in 2012.