Items where Year is 2018

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Number of items: 281.
  1. [img]
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    Ads and Cookies
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    Profile Picture Dr Heather Packer
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    Content Delivery Network Summary
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    Profile Picture Dr Heather Packer
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    Web Advertisements Overview
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    Profile Picture Dr Heather Packer
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    Neil Gostling - iSolutions Sensei Sessions
    Neil is a teaching fellow in Biological sciences who specialises evolutionary-development. He has recently been working with students CT scanning pieces of Dinosaur found on the Isle of Wight. He also has some interesting insights into our teaching information systems.

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    Web Advertising Case Study
    FutureLearn run a large international education website containing LOTS of web pages. Can you estimate how much they could earn in advertising revenue?

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    Data Science in Astronomy Slides
    Slides with dome examples of uses for data science in astronomy

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    Profile Picture Mr Michael Johnson
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    Privacy, the Internet and the Dark Web
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    Profile Picture Dr Heather Packer
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    Content Caches
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    Profile Picture Dr Heather Packer
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    Persuasive design and general feedback from assignment 1
    Two slides following up on the behaviour change lecture (first half of the lecture) and then general feedback from Assignment 1

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    Profile Picture Dr Stephen Snow
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    Behaviour change lecture
    Given by Kate Greenwell, Dept of Psychology

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    Profile Picture Dr Stephen Snow
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    Virtual City Explorer: A crowdsourching tool to locate and describe static points of interest in cities.
    Abstract: A common issue among European municipalities is the lack of information of mobility infrastructure Points of Interest (PoIs). This information is valuable both for powering services to citizens and as a mean to audit the urban health and environment of the city. Currently, municipalities need to send their employees to the field to do the counting, an expensive and error-prone approach that does not scale in the size of the area to be covered. Alternatively, one can rely on Volunteered Geographical Information (VGI) systems to crowdsource the data, but at the expense of having no control over data updates. We propose a faster and cheaper solution to tackle the problem by taking advantage of virtual imagery to use paid crowdworkers who can perform the item locating task remotely with no need of to be physically in place and without having any prior local knowledge of the area for which the exploration is required. We implemented a standalone crowdsourcing system named Virtual City Explorer (VCE) which allows collecting locations and images of PoIs on virtual spaces with paid crowdworkers. Our system takes as input a virtual space (e.g. a Google Street View instance), a type of PoI and an area of interest (defined as a geo-spatial polygon) and returns coordinates of instances of the target PoI type inside the area of interest discovered by a fixed, configurable, number of crowdworkers. Each crowdworker is asked to explore the area of interest finding a (configurable) number of PoIs, being rewarded upon completion. Our first experiments resulted in being very encouraging, showing how the VCE can effectively be used to find and collect locations of PoIs, in a cheaper and faster way. Speaker information Eddy Maddalena is a research fellow in the Web and Internet Science (WAIS) group of the University of Southampton, United Kingdom. Eddy got a PhD in Computer Science in 2017 at the University of Udine, Italy. During his PhD, Eddy mainly focused on Information Retrieval (IR) and crowdsourcing to create human annotated test collection of documents to be used to evaluate the effectiveness of IR systems. After holding his PhD, Eddy moved to the University of Southampton where he is the leader of the Crowdsourcing Work Package for the H2020 QROWD Project, and designs and develops crowdsourcing based solutions to improve mobility and reduce transportation issues for smart cities, which aim to include “human in the loop” participation in the Big Data Value Chain information flow.

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    Profile Picture Ms Amber Bu
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    General feedback on COMP1205 Abstracts
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    Profile Picture Dr Stephen Snow
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    Content Delivery on the Web
    FutureLearn run a large international education website containing LOTS of media. Can you estimate the size of their web hosting bill?

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    Lecture COMP6235
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    Profile Picture Dr Markus Brede
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    Intellectual Property on the Web: Case Study
    You hold a Star Wars Lecture series, with students and lecturers giving 6 talks about aspects of science from the science fiction franchise. You are going to put the talks on YouTube for publicity. What do you have to consider to avoid being sued by Disney or the University?

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    revision
    notes for revision lecture programming 1

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    Profile Picture Dr Jo Grundy
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    COMP6235 FAQs
    Please note the shortened datasets are available at http://edshare.soton.ac.uk/19679/ (if you run into problem importing the large json file into your mongodb, you could either shorten it as we suggested in the FAQs or download the shortened version from linke provided)

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    Profile Picture Mr Callum Spawforth
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    COMP1205 10.2 Data Law and GDPR compliance
    Guest Lecture - Alison Knight

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    COMP6235 Coursework Enron Dataset (shortened version)
    This is the shortened version of the original Enron Dataset we provided earlier.

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    Profile Picture Ms Amber Bu
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    Participatory Design and Prototyping videos
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    Profile Picture Dr Stephen Snow
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    Future Worlds – The on-campus startup accelerator : Change the world with your ideas.
    Abstract: Future Worlds is a unique and vibrant startup accelerator at the University of Southampton which helps nurture aspiring entrepreneurs and cutting-edge technologies through one-to-one support and its network of seasoned founders, investors and millionaire entrepreneurs. This talk will be an introduction of Future Worlds to our group and an opportunity to learn about their work and services. Biodata: Ben Clark is a specialist in taking companies from startup to scaleup, most recently with Southampton-based Snowflake Software and as Resident Mentor at Future Worlds. Ben was previously on the leadership team of Hippowaste, raising over £12m in funding and growing from small startup to over £7m turnover in 4 years before moving on to work with venture capital and startups in Africa and a post as Chief Operating Officer at software as a service company, iPresent, bootstrapping to over $2m of annual recurring revenue.

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    Profile Picture Ms Amber Bu
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    Crowdsourcing for data science
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    Profile Picture Prof Elena Simperl
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    Languages Balloon debate
    notes for languages balloon debate

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    Profile Picture Dr Jo Grundy
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    Learning Semantic Relatedness From Human Feedback Using Metric Learning
    Abstract: Assessing the degree of semantic relatedness between words is an important task with a variety of semantic applications, such as ontology learning for the Semantic Web, semantic search, recommendation or query expansion. To accomplish this in an automated fashion, many relatedness measures have been proposed. However, most of these metrics only encode information contained in the underlying corpus or in the navigation and thus do not directly model human intuition. In this talk, we show the utilisation of metric learning to improve existing semantic relatedness measures by learning from additional information, such as explicit human feedback. Our approach is based on knowledge that emergent as semantic information in Social Media systems and is embedded in the user's content or its navigational traces. We argue to use word embeddings instead of traditional high-dimensional vector representations in order to leverage their semantic density and to reduce computational cost as a first step to improve the extraction of the hidden semantic. We present results on several domains including tagging data as well as publicly available embeddings based on Wikipedia texts and navigation. Second, human feedback about semantic relatedness for learning and evaluation is extracted from publicly available datasets such as MEN or WS-353. We will show that our method can significantly improve semantic relatedness measures by learning from the additional explicit human feedback. For tagging data, we are the first to generate and study embeddings. Our results are of special interest for researchers and practitioners of Semantic Web and show the power of Machine Learning methods for extracting semantics. Biodata: Andreas Hotho is a professor at the University of Würzburg and the head of the DMIR group. In this context, he is directing the BibSonomy project spanning the L3S Research Center located in Hanover, the KDE group of the University of Kassel and the DMIR group. Prior, he was a senior researcher at the University of Kassel. He started his research at the AIFB Institute at the University of Karlsruhe where he was working on text mining, ontology learning and semantic web related topics. Currently, he is working in the area of data science, data mining, semantic web mining and social media analysis.

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    Profile Picture Ms Amber Bu
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    Resources for Comp6235 - Apache Spark Tutorial
    iPython notebook and instructions for installing and running the virtual machine and notebook.

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    Profile Picture Mr Michael Johnson
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    Bad design and lying with visuals
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    Profile Picture Prof Elena Simperl
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    Interactive graphics and storytelling
    Design guidelines and examples of interactive visualizations and dashboards. Explaining machine learning through visualizations.

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    Profile Picture Prof Elena Simperl
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    Languages Debate
    Introduction to computer languages

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    Profile Picture Dr Jo Grundy
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    Transmedia and Interactive Narrative
    Abstract: In this seminar we will present three PhD research projects currently underway in WAIS in the area of transmedia and interactive narrative. All three have been accepted as papers to the International Conference on Interactive Digital Storytelling (ICIDS’18) that takes place in Dublin next month. The three projects are: 1) Multiplayer Interactive Narrative Experiences (MINEs): A type of multiplayer interactive storytelling, in which each player may experience their own distinct narrative. Here, we explain what these narratives are, describe the design of a system to support them and explore some brief examples of the stories that are possible. 2) Authoring Interactive Digital Narratives: An experiment performed using one story across three different type interactive writing tools. This was done to explore the impact a tool has in shaping a story and to observe how each affected the authorial task. 3) Models of Alternative Reality Games (ARGs): Transmedia Storytelling involves telling stories across multiple media channels. This method presents problems for researchers in that it is difficult to understand the structure of a transmedia story and how the story unfolds over time. We present a way of describing such stories using examples of several ARGs and explore the affordances of this technique. Biodata: Callum Spawforth is a PHD student in the Web and Internet Science group at the University of Southampton, UK. His main area of research is Multiplayer Interactive Storytelling, exploring the possibilities for interactive fiction featuring multiple participants. His research has also touched on understanding interactions in multiplayer games and authoring systems for sculptural hypertext. Callum did his undergraduate degree in Computer Science here at the University of Southampton, and is one of the organisers for the Southampton Game Jam. Sofia Kitromili is a Web Science PhD student at the University of Southampton looking into authoring digital storytelling and how the practise is reformed through different platforms. She is currently looking to investigate the notion of storytelling through an authorial perspective with a locative literature tool using cultural heritage collections as a case study. Ryan Javanshir is a Web Science CDT PhD student. His research lies in the area of transmedia storytelling, looking at how we can better understand how narrative unfolds across media. He is also interested in game design and the surrounding ideas that can be transferred over and applied to transmedia design.

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    Profile Picture Ms Amber Bu
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    Linked Data
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    COMP1205 9.2 Employment Law
    Guest Lecture - Caroline Wilson

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    PGCE 201819 - Teaching Abroad
    Resources from the teaching abroad booster session for PGCE Primary, Secondary & FE trainees

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    Privacy and data protection
    A primer for data scientists

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    Profile Picture Prof Elena Simperl
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    COMP1205 9.1 Professional Behaviours
    Slides

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    Evaluation II
    Evaluation II, COMP2213

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    Profile Picture Dr Stephen Snow
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    WWW
    Lecture notes on Tim Berners-Lee's paper, and on the PageRank algorithm

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    Profile Picture Dr Jo Grundy
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    Search Engines
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    Profile Picture Dr Heather Packer
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    Web Graph
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    Profile Picture Dr Heather Packer
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    COMP6235 Coursework Jupyter Notebook
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    Profile Picture Ms Amber Bu
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    Cognition lecture
    COMP2213 Cognition lecture

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    Profile Picture Dr Stephen Snow
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    UNSPECIFIED
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    Profile Picture Dr Stephen Snow
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    COMP6235 Specification for CW 2
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    Profile Picture Dr Markus Brede
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    COMP6235 Hadoop Tutorial 1
    The relevant material, such the IPython Notebook, for the first Hadoop Tutorial.

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    Profile Picture Mr Callum Spawforth
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    Automating Travel Surveys
    Abstract: Travel surveys are used to estimate the percentage of citizen using certain mode(s) of transport, and are the basic building block towards data-driven transport policies. Traditionally, travel surveys are done on paper or with telephone assistance, a costly and cumbersome approach that limits the number of times the survey can be applied. The advent of ubiquitous Smartphones opened the door for the implementation of travel surveys as a mobile app that (i) collects relevant sensor data (ii) uses Machine Learning models to detect the transportation mode, and (iii) interface with the user to verify the machine's prediction, correcting it if necessary. In this talk I will present a general framework for mobile travel surveys, review the associated challenges and research questions associated to each phase, and present some of the advances we have made in the context of the H2020 QROWD project. Speaker information: Luis-Daniel Ibáñez is a research fellow in the Web and Internet Science group of the University of Southampton, UK His research activity comprises the domains of the Web, Linked Open Data and Crowdsourcing. He holds a Ph.D in Informatics from the University of Nantes. He is currently the technical director of the H2020 QROWD project, and also participates in two further EU funded initiatives: the European Data Portal, where he contributes to the analysis of its effectivity, and the EU Blockchain Observatory and Forum. Previously, he was deputy coordinator of the Open Data Incubator for Europe, an EU funded incubation program for SMEs innovating around Open Data.

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    Profile Picture Ms Amber Bu
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    COMP6235 Lecture
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    Profile Picture Dr Markus Brede
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    COMP6235 Lecture
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    Profile Picture Dr Markus Brede
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    iSolutions Sensei Sessions
    Talks to try and connect people in the department with the goings on around the university in an interactive and more informal way. Something to pep you up on a Monday morning.

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    Helen Cullington - iSolutions Sensei Sessions
    Michael Nemetz interviews Helen Cullington from the Institute of Sound and Vibration research Cochlear Implant Centre on Highfield Campus.

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    Computer Applications: Python - File I/O
    Week 11/15, Python 8: This will be a practice of file I/O.

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    Artificial Intelligence
    Lecture notes for AI topic

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    Profile Picture Dr Jo Grundy
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    Abstract Classes and Interfaces
    Lecture notes for programming 1

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    Profile Picture Dr Jo Grundy
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    Questions for Lecture 9
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    Profile Picture Dr Jo Grundy
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    COMP1202 - Space Cadets - 06 - Challenge 6 Review
    Challenge 6

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    COMP1205 how do we work in a group? links to free tests and HE focusssed video
    slides and guide for classroom activity about teams.

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    Visual Perception and information design for the mind II
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    Profile Picture Dr Jo Grundy
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    Computer Assignment Application 1
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    Profile Picture Mr James Di Capite
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    Computer Applications Assignment 1
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    Profile Picture Mr James Di Capite
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    Hypertext Futures
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    Open Hypermedia
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    HTML5 APIs
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    Human Data Interaction
    Abstract: Data is everywhere. Today people are faced with the daunting task of understanding and managing the data created by them, about them, and for them, due to the lack of mechanisms between them and the data. In this talk, I will use some examples in my own research to explain how we can bridge the gap between humans and data through a series of interaction mechanisms. I will first explain how we can use agencies such as recommender systems to help people manage the access to their personal data. I will then explain how data visualisations can be used to help people extract better insights from their personal data. I will also introduce my on-going work about applying data visualisations to public data to help people make better decisions and, beyond visualisations, telling stories about data. Biodata: Yuchen Zhao is a research fellow at the Web and Internet Science Research Group (WAIS) in the school of Electronic and Computer Science (ECS), the University of Southampton. He received his Ph.D. in computer science from University of St Andrews in 2017. His research aims to understand and address the issues in human data interaction. His previous research focused on understanding privacy issues in personal data and designing agencies to help people solve those issues. His recent research has expanded to apply data visualisations and narrative visualisations to provide better insights, transparency, and engagement in public data.

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    Profile Picture Ms Amber Bu
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    COMP6235 Lecture notes
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    Profile Picture Dr Markus Brede
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    COMP6235 Lecture
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    COMP1205: Planning your time schedule
    Showing a timescale for researching and writing your report

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    Computer Applications: Python - more loops, algorithms, pseudocode and sorting
    Week 10: this involves a recap of what you have learnt, as well as while loop, algorithms, pseudocode and sorting.

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    Prototyping I and II
    Steve's lectures on Prototyping COMP2213 2018-19

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    Profile Picture Dr Stephen Snow
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    HCI Theories II and III
    Steve's lecture on HCI theories COMP2213-2018/19

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    Profile Picture Dr Stephen Snow
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    Testing and Debugging
    Lecture on testing and debugging in Java for Programming I

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    Profile Picture Dr Jo Grundy
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    Network Architecture
    Lecture notes for lecture 7 in topics in computer science

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    Profile Picture Dr Jo Grundy
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    Ethics COMP2213 2018-2019
    Ethics Lecture Slides

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    COMP1202 - Space Cadets - 05 - Challenge 5 Review
    Review of Challenge 5 for the Space Cadets

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    NIHR Mod 1 v8
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    Preparing your interdisciplinary report
    Guidance notes with mark scheme

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    Visual perception and information design for the mind
    First half of the series, for data visualisation.

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    Profile Picture Prof Elena Simperl
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    Report style guide
    general guide to report writing style details

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    Evaluating projects
    COMP3200, 2018/19- Steve Snow

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    Profile Picture Dr Stephen Snow
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    Polymorphism
    10th lecture on programming 1, using Java

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    Profile Picture Dr Jo Grundy
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    Seminar 2 COMP6235
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    Profile Picture Dr Markus Brede
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    COMP6235 lecture
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    Profile Picture Dr Markus Brede
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    COMP1202 - Space Cadets - 04 - Challenge 4 Review
    Review of Challenge 4 of the Space Cadets (Use Acrobat Reader for animation)

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    Super and Sub-classes
    Lecture notes

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    Profile Picture Dr Jo Grundy
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    Designing for the web
    COMP2213 Jon Staniforth lecture slides: Designing for the Web

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    Profile Picture Dr Stephen Snow
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    Individual Report
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    REST Coursework
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    Documenting REST
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    Advanced Charts
    lecture notes for advanced charts, lecture 5 Data Visualisation

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    Profile Picture Dr Jo Grundy
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    WEBS6203 report
    CW3 specification

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    WEBS6203 reports vs essays and abstracts vs extended abstracts
    Notes and in class exercise

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    Ontology Engineering at Scale for Open City Data Sharing
    In this talk we will present how we are applying ontology engineering principles and tools for the development of a set of shared vocabularies across municipalities in Spain, so that they can start homogenising the generation and publication of open data that may be useful for their own internal reuse as well as for third parties who want to develop applications reusing open data once and deploy them for all municipalities. We will discuss on the main challenges for ontology engineering that arise in this setting, as well as present the work that we have done to integrate ontology development tools into common software development infrastructure used by those who are not experts in ontology Engineering.

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    Profile Picture Ms Amber Bu
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    Config file
    Config file for COMP1202 coursework

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    Profile Picture Dr Stephen Snow
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    Oink
    COMP2213 Design Jam

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    Profile Picture Dr Stephen Snow
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    MyMed
    COMP2213 Design Jam

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    Profile Picture Dr Stephen Snow
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    Munchbox
    COMP2213 Design Jam

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    Profile Picture Dr Stephen Snow
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    Kin
    COMP2213 Design Jam

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    Profile Picture Dr Stephen Snow
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    Fanfare
    COMP2213 Design Jam

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    Profile Picture Dr Stephen Snow
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    Chariot
    COMP2213 Design Jam

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    Profile Picture Dr Stephen Snow
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    Shelly's Heart BBC News Segment
    A news report from BBC South Today discussing the location aware interactive fiction set in St. Peters Church yard in Bournemouth where Mary Shelley is buried. The story which commemorates the 200th anniversary of Shelly's most famous work, Frankenstein. The article features former University of Southampton researcher Dr Charlie Hargood and the story is written on the StoryPlaces platform authored by iSolutions staff in technical innovation and development. To find out more about the tool and other stories written in it visit http://storyplaces.soton.ac.uk

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    Data collection and management
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    Profile Picture Prof Elena Simperl
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    COMP6235 MongoDB Tutorial 1819
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    Profile Picture Ms Amber Bu
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    Java Library notes
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    Profile Picture Dr Jo Grundy
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    Development methodologies and verification
    lecture notes for topics in computer science

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    Profile Picture Dr Jo Grundy
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    REST in Practice
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    REST in Theory
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    Extended abstract and slides
    CW2 related notes at http://edshare.soton.ac.uk/17826

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    Computer Applications: Python - Recap and practice
    Week 6, Python 3: first revision

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    Computer Applications: Python - input, output and decisions
    Week 5, Python 2: input, output and decisions

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    COMP1202 - Space Cadets - 03 - Challenge 3 Review
    Space Cadets Challenge 3 Review

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    COMP6235 Coursework Enron Dataset
    Enron Dataset for Task1 for COMP6235 Coursework. Important Note: you should download this file (around 380MB) using the "Download as zip" link provided at the bottom right of this page.

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    Profile Picture Ms Amber Bu
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    COMP6235 YouTube Spam Dataset
    Spam comments dataset for Hadoop in COMP6235

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    Profile Picture Mr Callum Spawforth
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    COMP1202 Coursework
    40% coursework

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    Profile Picture Dr Stephen Snow
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    Further HTTP
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    Basic types of charts
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    Profile Picture Prof Elena Simperl
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    UNSPECIFIED
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    Profile Picture Prof Elena Simperl
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    COMP1202 - Space Cadets - 02 - Challenge 2 Review
    Review of Challenge 2

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    Collections and Iterators
    Notes for COMP1202 lecture 8

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    Profile Picture Dr Jo Grundy
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    COMP6234 Deathrates Data
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    Qualitative Analysis lecture
    Slides cover both lectures given 22 Oct 2018

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    Profile Picture Dr Stephen Snow
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    Qualitative methods lecture
    COMP2213- qualitative methods- 2 lectures of content, both delivered on 15th Oct 2018

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    Profile Picture Dr Stephen Snow
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    Loops and Arrays
    Teaching loops and arrays in Java

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    Profile Picture Dr Jo Grundy
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    Transcripts for thematic analysis
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    Profile Picture Dr Stephen Snow
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    Transcript examples for thematic analysis
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    COMP2213-2018-19 Coursework Specification and Criteria
    COMP2213-2018-19 Coursework Specification and Criteria

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    Profile Picture Dr Stephen Snow
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    Narrative design patterns for COMP6234 Coursework
    Describes some common narrative design patterns, strategies that could be employed by the students for completing their coursework

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    Profile Picture Dr Jo Grundy
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    Planning a Data Visualisation
    Materials needed for the Planning a Data Visualisation lecture

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    Profile Picture Dr Jo Grundy
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    Interfaces lecture
    Interfaces lecture slides COMP2213

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    Profile Picture Dr Stephen Snow
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    The Development and Exploitation of the Synchronised Timeline and Iconographic Interface in Healthcare and Beyond
    Mr. Rew is a Consultant Surgeon at the University Hospital of Southampton. He has been leading work within NHS on data visualisation systems for the electronic patient record across the UHS Clinical Data Estate.

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    Profile Picture Ms Amber Bu
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    Presentation lecture
    COMP1205 presentation lecture, Steve Snow

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    Writing an abstract
    COMP1205 lecture on abstract writing

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    COMP6235 in class problem solving
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    Profile Picture Dr Markus Brede
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    COMP6235 lecture
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    CW3 specification
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    WEBS6203 refining your topic choice
    In class exercise

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    Computer Applications Assignment 1
    Analyse a set of given data from a Hooke's law experiment Present your analysis in a blog. Contains announcement and specification

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  143. [img] [img]
    COMP1202 - Space Cadets - 01 - Challenge 1 Review
    Review of Challenge 1 for Space Cadets

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  144. [img] [img]
    Software for the Coursework
    Slides detailing the installation and use of the coursework software. Also contains the tutorial notebooks and alternative instructions for installing the software without a virtual machine.

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    Profile Picture Mr Michael Johnson
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    COMP6234 Birthrates Data
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  146. [img]
    COMP6234 Human-Data Interaction
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  147. [img]
    Analysis of wildlife tracks using the R software
    A computer practical introducing the analysis of wild boar movements with the R package

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  148. [img]
    Understanding wildlife movement using R
    Computer practical for the R statistical software involving analysis of wild boar movement tracks

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  149. [img]
    Instructions for CW 1 COMP6235
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    Profile Picture Dr Markus Brede
  150. [img]
    COMP6235 data set for CW 1
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  151. [img]
    Lecture COMP6235
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  152. [img]
    Lecture COMP6235
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  153. [img] [img]
    GIS for Environmental Management practicals
    Various ArcGIS version 10 format practicals relating to environmental management

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  154. [img]
    Preview
    Web Formats
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  155. [img]
    Preview
  156. [img]
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  157. [img] [img]
    Technical report specification 2018/19
    COMP1205 technical report specification for 2018/19

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    Profile Picture Dr Stephen Snow
  158. collection
    COMP1202 Programming I
    Material for COMP1202 Programming I

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  159. [img] [img]
    COMP1202 - Space Cadets - 00 - Introduction
    Introduction slides to the Space Cadets optional stream for COMP1202 (Programming I)

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  160. [img]
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  162. [img]
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    Introduction
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  163. [img]
    Intro to Coursework and Assessment COMP6235
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  164. [img] [img]
    Computer Applications: Python - Recap and Practice
    Week 6, Python 3

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  165. [img]
    Scoring Serious Educational Games Fairly
    Abstract: Many people would like to see new skills, such as managing systems or complex problem solving, introduced into mainstream education. These skills are in high demand in the workplace. However, education is still an assessment-driven environment, and until these skills can be tested fairly, their impact will be minimal. Online games provide a way of evidencing this kind of ability, but games scores do not currently meet requirements of fairness. In high stakes assessment, 'fairness' is a complex concept, but it always has to have a mathematical argument behind it, for ethical and legal reasons. The analysis techniques that assessors use to locate problems in large data sets have been applied to a range of testing scenarios, from multiple choice to human-scored evaluation of complex tasks, but they will not work with game data at the moment. Bayesian analysis appears to be the best approach to deal with the more complex behaviour produced during game play, but few assessors have worked with Bayes probability. This talk will give you an insight into how assessors mathematically model very common human test behaviours, such as cheating, guessing, a rogue examiner or poor question design. It will also outline how key assumptions about testing need to be re-conceptualised for game data, and suggest how existing approaches to identifying bias and error might be incorporated in Bayesian probability-based estimations of ability. Background of Speaker : Clare Walsh is a teacher, and final year PhD student. Before joining the CDT, she authored over 20 course books that are used in secondary schools and further education worldwide, and has worked for over 15 years in international high stakes assessment design.

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  166. [img]
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    Programming Principles: Balloon Debate
    These are slides that support the balloon debate session for Programming 1. In it we discuss the pros and cons of different languages, and discuss the current popularity of different languages and approaches

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  167. [img]
    COMP6234 Module Introduction
    Introduction to COMP6234 Data Visualisation

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  168. [img]
    L1 lecture Part 2
    Laboratory Introduction

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    Profile Picture Mr Mark Temple
  169. [img]
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    COMP1205 1.2 employability
    Employability lecture updated

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  170. [img]
  171. [img]
    COMP6235 L2
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  172. [img]
    Introduction to COMP6235
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  173. [img]
    Lecture 1.0, 1.1
    Week one lecture 1 and 2

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  174. [img]
    COMP2213 coursework spec and criteria
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  175. [img]
    Coursework marks distribution form
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  176. [img] [img]
    Computer Applications: Python - Variables, maths and comments
    Week 4, Python 1 - Introduction to Python: syntax, variables, maths and comments

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    Computer Applications: Online Identity
    Week 3, Digital Literacy 3

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  178. [img] [img]
    Computer Applications: Information Literacy
    Week 2, Digital Literacy 2

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  179. [img] [img]
    Computer Applications: Researching Online & Collaborating
    Week 1: Digital Literacy 1

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  180. [img]
    Science Foundation Year reflective activities
    This folder contains the proformas used to prompt reflection in students

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  181. [img] [img]
    Complete_Hyperplasia_articulate_trial
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  182. [img]
    COMP6234 Data Story Report Template
    A template for the report as part of the COMP6234 coursework

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  183. [img] [img]
    Science Foundation Year practicals and skills portfolios
    This pack contains all the practical scripts and practical skills portfolio templates for the chemistry component of the Science Foundation Year at the University of Southampton. This material is being made available as supplementary material for a publication.

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  184. [img] [img]
    An Introduction to Academic Integrity
    This resource has been specifically built for the Southampton Business School undergraduate students, however, it may be of use to others.

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    Neuro_equipment
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  187. [img] [img]
    COMP1202 Lab Test Harnesses
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  188. [img] [img]
    UNSPECIFIED
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  189. [img]
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    Meeting with an Academic Integrity Officer
    This resource will help you to understand what will happen if you have been asked to meet with an Academic Integrity Officer. It will also help you to understand what you should do and how you can prepare for the meeting.

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    COMP6235 referral coursework
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  192. [img]
    Referral Assessment
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  193. [img] [img]
    NIHR - Module 1
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    Profile Picture Ms Anna Ruff
  194. collection
    Web & Internet Science Seminar Recordings 2018
    Collections of all the recording of the Web & Internet Science Research Seminars from 2018

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  195. [img]
    Blockchain in Education: does it make any sense?
    Abstract: Blockchain, thanks to bitcoin, is in fashion. Nowadays it appears as the magic solution to solve some issues in many areas and Education (whatever face-to-face, blended and online) is one of them. There are some literature exploring potential applications and pointing out topics such as credentials, gamification, students tracking or assessment among others. In this seminar I would like to discuss where and when does it make sense to think of blockchain as a useful technology or just a bluf. We will probably have more questions than answers due to the nature of such a presumably disruptive technology as blockchain may be. Biodata : Miquel Oliver is full professor at the School of Engineering of Universitat Pompeu Fabra. His background comes from wireless and mobile communications but he has been shifting towards Internet and its impact upon society. He has been following the MOOCs phenomenon since its starts, as researcher, student and practitioner. More info here: https://www.upf.edu/web/etic/entry/-/-/19279/409/miquel-oliver

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  196. [img]
    Document Tools - Which Tool?
    Probably the two most commonly employed tools for document preparation are Microsoft Word and LaTeX. To cut a long story short, LaTeX is better! Whilst it has a slightly higher initial learning curve, this easily pays off in the long term.

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    Daryls MED example
    An example of articulate from Daryl Peel

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  198. .
    UNSPECIFIED
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    Profile Picture Mr Richard Allan
  199. .
    UNSPECIFIED
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  200. [img] [img]
    Developing Music Technology for Health and Learning
    The use of music as an aid for improving body and mind has received enormous attention over the last 20 years from a wide range of disciplines, including neuroscience, cognitive science, physical therapy, exercise science, psychological medicine, and pedagogy. It is important to translate insights gained from the scientific study of music, learning, and medicine into real-life applications. Such applications should be delivered widely, effectively, and accurately, harnessing the synergy of sound and music computing (SMC), wearable computing, and cloud computing technologies to promote learning and to facilitate disease prevention, diagnosis, and treatment in both developed countries and resource-poor developing countries. In this talk, I will highlight our recent projects at NUS Sound and Music Computing Lab that are developed to facilitate joyful learning, and motivate physical Rehabilitation. Speaker information WANG Ye is an Associate Professor in the Computer Science Department at the National University of Singapore (NUS) and NUS Graduate School for Integrative Sciences and Engineering (NGS). He established and directed the sound and music computing (SMC) Lab (www.smcnus.org). Before joining NUS he was a member of the technical staff at Nokia Research Center in Tampere, Finland for 9 years. His research interests include sound analysis and music information retrieval (MIR), mobile computing, and cloud computing, and their applications in music edutainment, e-Learning, and e-Health, as well as determining their effectiveness via subjective and objective evaluations. He has served as the general chair of ISMIR2017 (https://ismir2017.smcnus.org/) and TPC co-chair of ICOT2017 (http://www.colips.org/conferences/icot2017/). His most recent projects involve the design and evaluation of systems to support 1) therapeutic gait training using Rhythmic Auditory Stimulation (RAS), 2) auditory training and second language learning.

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  201. [img] [img]
    Academic Integrity Panel Meeting - a student guide (enhanced accessibility)
    This resource has been developed and updated from an online guide which was originally built by Adam Warren as part of a cross University project initiated within the Faculty of Business, Law and Art. The original project was led by Julie Price with support and advice, particularly on the content, coming from a range of colleagues across the University, for example, from colleagues working in the SUSU Advice Centre. Thanks goes to everyone involved in the original project. In developing this updated version particular thanks must go to: Susi Miller, James Allen and John Lightfoot who have given help and advice in terms of accessibility and Articulate Storyline; Keir Thorpe who has user tested it on several occasions throughout its development.

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  202. [img]
    COMP6237_MB
    COMP6237 lecture material Markus Brede, one zip file

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  203. [img]
    B2C e-Commerce in Indonesia: Personalisation & Impulse Buying
    Abstract : It is a work in progress to unleash the potentials of B2C e-Commerce in Indonesia. This study focuses on the millenials' impulse buying as digital buyers of SME in Indonesia. Potential personalisation dimension have been identified. These need further experiment and evaluation. About the Speaker : Dr Betty Purwandari is an academic staff in the Faculty of Computer Science, Universitas Indonesia. She is the course leader of MSc Information Technology at Universitas Indonesia. Her research is on Web Science and e-commerce mainly with SME. She also works on e-participation with the Executive Office of the President, Republic of Indonesia. She did her undergraduate at Universitas Indonesia. Then she got her MSc from UCL as the British Chevening awardee. She did her PhD at the University of Southampton. After she came back to Universitas Indonesia, she was appointed as the university’s Information Technology director. Her professional achievements were recognised by the British Council Indonesia in the 2016 UK Alumni Award.

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  204. [img]
    Many Worlds on a Frame: Characterizing Online Social Cognition
    Abstract : The theme of the Web Observatory at IIIT Bangalore is "online social cognition." Our research aims to understand how social media activity molds collective worldview that in turn impacts several areas of human activity, like business, politics or even social harmony. We first categorize the web into three broad regions or realms: called the social, trigger, and inert realms respectively. The social realm forms the participatory areas of the web, where opinions are actively exchanged and molded. Trigger realm refers to elements like news websites or blogs, whose publishing events often trigger activity in the social realm. The inert realm refers to static web content, that gets used as a source of latent knowledge in the social interactions. The social realm itself is modeled as a "marketplace of opinions" -- where different vested interests invest their opinions in order to fetch returns. Opinions that are "compatible" come together to form one or more narratives. In order to characterize this, we first represent an opinion as comprising of two dimensions called: abstraction and expression. Abstraction refers to the opinion-holder's objective perspective on the issue, and expression refers to the communication of the opinion-holder's subjective sentiment about the issue. Cognitive science studies show that abstractions and expressions have vastly different characteristics in they way they diffuse through a population. Hence, the formation of narratives are sometimes catalyzed by abstractions, and sometimes by expressions. In order to represent narratives and their interplay, that constitutes social cognition, we also propose a hermeneutic framework called "Many Worlds on a Frame" (MWF). The framework models the semantic universe of discourse, as comprising of several semantic "worlds" or "narratives" within each of which , other worlds may participate as entities. Interactions between worlds are either facilitated or hampered by their respective worldviews. The set of all interactions between worlds is called the Frame. We argue that the "many worlds" representation is more conducive to modeling social cognition, rather than (say) a convergent multi-author knowledge model like a wiki. The MWF implementation does not impose an overarching ontology, at the same time, it is not completely unstructured either. We propose to use a modified form of the NQuad W3C standard for representing knowledge about online social cognition. About the Speaker : Srinath Srinivasa heads the Web Science lab and is the Dean (R&D) at IIIT Bangalore, India. Srinath holds a Ph.D (magna cum laude) from the Berlin Brandenburg Graduate School for Distributed Information Systems (GkVI) Germany, an M.S. (by Research) from IIT-Madras and B.E. in Computer Science and Engineering from The National Institute of Engineering (NIE) Mysore. He works in the area of Web Science, understanding the impact of the web on humanity. Technology for educational outreach and social empowerment has been a primary motivation driving his research. He has participated in several initiatives for technology enhanced education including the VTU Edusat program, The National Programme for Technology Enhanced Learning (NPTEL) and an educational outreach program in collaboration with Upgrad. He is a member of various technical and organizational committees for international conferences like International Conference on Weblogs and Social Media (ICWSM), ACM Hypertext, COMAD/CoDS, ODBASE, etc. He is also a life member of the Computer Society of India (CSI). As part of academic community outreach, Srinath has served on the Board of Studies of Goa University and as a member of the Academic Council of the National Institute of Engineering, Mysore. He has served as a technical reviewer for various journals like the VLDB journal, IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Cloud Computing. He is also the recipient of various national and international grants for his research activities.

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    Expressiveness Benchmarking for System-level Provenance
    Over the past decade a number of research prototypes that record provenance or other forms of rich audit logs at the operating system level. The last few years have seen the increasing use of such systems for security and audit, notably in DARPA's $60m investment in the Transparent Computing program. Yet the foundations for trust in such systems remains unclear; the correct behaviour of a provenance recording system has not yet been clearly specified or proved correct. Therefore, attempts to improve security through auditing provenance records may fail due to missing or inaccurate provenance, or misunderstanding the intentions of the system designers, particularly when integrating provenance records from different systems. Even worse, provenance recording systems are not even straightforward to test, because the expected behaviour is nondeterministic: running the same program at different times or different machines is guaranteed to yield different provenance graphs, and running programs with nontrivial concurrency behaviour typically also yields multiple possible provenance graphs with different structure. We believe that such systems can be formally specified and verified, and should be in order to remove complex provenance recording systems from the trusted computing base. However, formally verifying such a system seems to require first having an accepted formal model of the operating system kernel itself, which is a nontrivial undertaking. In the short term, we propose provenance expressiveness benchmarking, an approach to understanding the current behaviour of a provenance recording system. The key idea (which is simple in principle) is to generate provenance records for individual system calls or short sequences of calls, and for each one generate a provenance graph fragment that shows how the call was recorded in the provenance graph. The challenge is how to automate this process, given that provenance recording tools work in different ways, use different output formats, and generate different (but similar) graphs containing both target activity and background noise. I will present work on this problem so far, focusing on how to automate the NP-complete approximate subgraph isomorphism problems we need to solve to automatically extract benchmark results.

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    COMP3211 Past Papers
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    Growing the Artificial Intelligence Industry in the UK
    Independent report for Department for Digital, Culture, Media & Sport and Department for Business, Energy & Industrial Strategy. https://www.gov.uk/government/publications/growing-the-artificial-intelligence-industry-in-the-uk

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    Past Papers
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  209. [img]
    Sketching the vision of a Web of Debates
    Web users have changed the Web from a means for publishing and exchanging documents to a means for sharing their feelings, beliefs, and opinions and participating in debates on any conceivable topic. Current web technologies fail to support this change: arguments and opinions are uploaded in purely textual form; as a result, they cannot be easily retrieved, processed and interlinked, and all this information is largely left unexploited. This talk will sketch the vision of Debate Web, which will enable the extraction, discovery, retrieval, interrelation and visualisation of the vast variety of viewpoints that exist online, based on machine-readable representations of arguments and opinions.

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  210. [img] [img]
    Thing link rural panorama test
    This has wide screen large browser

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  211. [img] [img]
    Thing link test larger
    This is a repeat of the last test but incorporating a larger viewing window in a desktop environment.

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    WebDataRA: Using Social Media Data in Research
    The Web Data RA will capture Twitter, Facebook and Google data from a browser and allow you to paste a the information directly into a spreadsheet. This tutorial focuses on pursuing research questions using Twitter data.

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  213. .
    UNSPECIFIED
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    HCI jobs and notes from drop-in
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  215. [img]
    UNSPECIFIED
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    Profile Picture Ms Huanyu Jin
  216. [img]
    UNSPECIFIED
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  217. .
    UNSPECIFIED
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  218. .
    UNSPECIFIED
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  219. [img]
    Updated coursework spec
    Updated only to change the date of the final handin to May 11th instead of May 4th

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  220. [img] [img]
    ThingLink Test
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  221. [img]
    Participatory design slides
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  222. [img]
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    Overview of AI
    A brief, non-technical, overview of the development of AI and Machine Learning as a particularly fruitful set of techniques

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  223. [img]
    Deliverable 3 Spec
    SEG

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  224. [img]
    Ethics COMP2213
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  225. [img]
    Revising for COMP2213 Exam
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  226. [img]
    Interim handin slides
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    Negotiation skills
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    Profile Picture Ms Anna Ruff
  230. [img]
    Prototyping slides
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  231. [img]
    Designing for delight
    Updated by S.Snow 8th March 2018

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    Profile Picture Dr Stephen Snow
  232. [img]
    HCI Theories II
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    Profile Picture Dr Stephen Snow
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    12 SPARQL
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    10 ConceptualModeling
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  237. [img]
    In-class thematic analysis
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  238. [img]
    Qual Methods II and Qual Analysis I
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  239. [img]
    Ontology Engineering
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  240. .
    UNSPECIFIED
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  241. .
    UNSPECIFIED
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  242. [img] [img]
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    Managing family finances transcript for thematic analysis
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  244. [img]
    Qualitative methods (1)
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  245. [img]
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    D3.js
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  246. [img]
    Data Stories -Engaging with Data in a Post-truth World
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  247. [img]
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    OWL
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  248. [img] [img]
    COMP2211 SEG Team Supervisor Start up Briefing
    Introduction Briefing for COMP 2211 Software Group Project team supervisors. Covers description and context for the module, team supervisor role and responsibilities. Agile context

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  249. [img]
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    RDF Schema
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    Description Logics
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    Ontologies
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    RDF
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    Linked Data
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    Open Data Visualisation Intro
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  257. [img]
    Big Data Mining
    Speaker: Dr Jie Tang ( http://www.tsinghua.edu.cn/publish/csen/4623/2010/20101224172643874184753/20101224172643874184753_.html )

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  258. [img]
    Blahs
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  259. [img]
    Synote-Inclusively Enhancing Learning from Lectures & Recordings
    Machines recognition of continuous speech became commercially available in 1998 creating the possibility of automatically transcribing what a lecturer was saying in class to change approaches to notetaking as well as benefitting disabled students and international students. In spite of continuous improvements in speech recognition accuracy, universities haven’t been providing their students with automatically transcribed lectures and so our spin out company Synote was set up to help turn the possibility into reality. This seminar reviews the past 20 years of research into enhancing learning from lectures and recordings using speech recognition transcription that has involved researchers, universities and organisations worldwide as well as student projects and grant funded projects in ECS.

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  260. [img]
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    COMP6214 Coursework 1 Data Cleaning and Visualisation
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  261. [img]
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    Pre-Analytics: Open Data Validation and Cleaning
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  262. .
    UNSPECIFIED
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    Profile Picture Mr Christopher Spain
  263. [img]
    Coursework Spec and Group Formation + Brief intro to PD
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  264. [img]
    COMP2213 Coursework spec
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  265. [img]
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    Open Data Formats
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  266. [img]
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    FY RTS 3 Slides
    The slides are organised into three sections, introduction, consolidation and completion. They are designed for individual study and guidance as you complete the portfolio. Refer also to the Blackboard Site. Studetns will be sent a correct version of the template by email

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  267. [img] [img]
    Dermatomes
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    Profile Picture Ms Anna Ruff
  268. [img] [img]
    Myotomes
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  269. [img]
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    UOSM2008 Intro Lecture Slides
    For semester 2 2017-18

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  270. .
    UNSPECIFIED
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  271. [img]
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    Student Seminar Skills
    Reading around and group contributions around the topic of Campus CyberCrime

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  272. [img]
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    Engineering & Technology Careers Fair 2018 Brochure
    Profiles of companies attending the 2018 Engineering & Technology Careers Fair, with stand plan

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  273. [img]
    Designing for Everyone
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  274. [img]
    Accessibility Overview
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  275. [img]
    Usability UX and Accessibility
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  276. [img] [img]
    Computer Applications: Python 10
    It is about drawing and animating graphics on a canvas in Python.

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  277. [img] [img]
    Computer Applications: Python 9
    It is about creating graphical user interfaces for Python applications.

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  278. [img] [img]
    LifeLab - beliefs axis
    Shared with the University by
    Profile Picture Ms Anna Ruff
  279. [img]
    Correlations in financial time series- R code, R.puttur
    R- code for research paper "Correlations in financial time series"

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    Profile Picture Mr Ritesh Puttur
  280. [img]
    Introduction to human data interaction
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  281. [img]
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This list was generated on Sat Jun 15 22:49:08 2019 UTC.