Items where Year is 2018

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Number of items: 158.
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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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    Profile Picture Dr Stephen Snow
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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 Joanna Houghton
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    Planning a Data Visualisation
    Materials needed for the Planning a Data Visualisation lecture

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    Profile Picture Dr Joanna Houghton
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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 Qiong Bu
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    Presentation lecture
    COMP1205 presentation lecture, Steve Snow

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    Profile Picture Dr Stephen Snow
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    Writing an abstract
    COMP1205 lecture on abstract writing

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    Profile Picture Dr Stephen Snow
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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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    Profile Picture Dr Markus Brede
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    CW3 specification
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    Profile Picture Dr Markus Brede
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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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    COMP1202 - Space Cadets - Challenge 1 Review
    Review of Challenge 1 for Space Cadets

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    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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    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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    Understanding wildlife movement using R
    Computer practical for the R statistical software involving analysis of wild boar movement tracks

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    Instructions for CW 1 COMP6235
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    Profile Picture Dr Markus Brede
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    COMP6235 data set for CW 1
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    Profile Picture Dr Markus Brede
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    Lecture COMP6235
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    Profile Picture Dr Markus Brede
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    Lecture COMP6235
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    Profile Picture Dr Markus Brede
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    GIS for Environmental Management practicals
    Various ArcGIS version 10 format practicals relating to environmental management

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    Web Formats
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    Technical report specification 2018/19
    COMP1205 technical report specification for 2018/19

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    Profile Picture Dr Stephen Snow
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    COMP1202 Programming I
    Material for COMP1202 Programming I

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    COMP1202 Introduction to the Space Cadets
    Introduction slides to the Space Cadets optional stream for COMP1202 (Programming I)

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    Introduction
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    Intro to Coursework and Assessment COMP6235
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    Profile Picture Dr Markus Brede
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    Computer Applications: Python - Recap and Practice
    Week 6, Python 3

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

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    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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    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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    COMP6234 Module Introduction
    Introduction to COMP6234 Data Visualisation

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    L1 lecture Part 2
    Laboratory Introduction

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    Profile Picture Mr Mark Temple
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    COMP1205 1.2 employability
    Employability lecture updated

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    COMP6235 L2
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    Profile Picture Dr Markus Brede
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    Introduction to COMP6235
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    Profile Picture Dr Markus Brede
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    Lecture 1.0, 1.1
    Week one lecture 1 and 2

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    Profile Picture Dr Stephen Snow
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    COMP2213 coursework spec and criteria
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    Profile Picture Dr Stephen Snow
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    Coursework marks distribution form
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    Profile Picture Dr Stephen Snow
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    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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    Computer Applications: Information Literacy
    Week 2, Digital Literacy 2

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    Computer Applications: Researching Online & Collaborating
    Week 1: Digital Literacy 1

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    Science Foundation Year reflective activities
    This folder contains the proformas used to prompt reflection in students

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    Complete_Hyperplasia_articulate_trial
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    Profile Picture Mr Paul Blatch
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    COMP6234 Data Story Report Template
    A template for the report as part of the COMP6234 coursework

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    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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    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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    Profile Picture Mr Paul Blatch
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    COMP1202 Lab Test Harnesses
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    Profile Picture Dr Heather Packer
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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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    Profile Picture Prof Elena Simperl
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    Referral Assessment
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    NIHR - Module 1
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    Profile Picture Ms Anna Ruff
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    Web & Internet Science Seminar Recordings 2018
    Collections of all the recording of the Web & Internet Science Research Seminars from 2018

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    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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    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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    Profile Picture Mr Daryl Peel
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    Profile Picture Mr Richard Allan
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    Profile Picture Mr Richard Allan
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    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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    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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    COMP6237_MB
    COMP6237 lecture material Markus Brede, one zip file

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    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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    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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    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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    Profile Picture Ms Qiong Bu
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    Thing link rural panorama test
    This has wide screen large browser

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    Profile Picture Mr John Savage
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    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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    HCI jobs and notes from drop-in
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    Profile Picture Dr Stephen Snow
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    Profile Picture Ms Huanyu Jin
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    Profile Picture Ms Huanyu Jin
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    Updated coursework spec
    Updated only to change the date of the final handin to May 11th instead of May 4th

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    ThingLink Test
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    Profile Picture Mr John Savage
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    Participatory design slides
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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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    Deliverable 3 Spec
    SEG

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    Ethics COMP2213
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    Revising for COMP2213 Exam
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    Interim handin slides
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    Learning outcomes (Beta 3)
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    Negotiation skills
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    Profile Picture Ms Anna Ruff
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    Prototyping slides
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    Designing for delight
    Updated by S.Snow 8th March 2018

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    Profile Picture Dr Stephen Snow
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    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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    In-class thematic analysis
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    Profile Picture Dr Stephen Snow
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    Qual Methods II and Qual Analysis I
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    Ontology Engineering
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    Managing family finances transcript for thematic analysis
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    Qualitative methods (1)
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    D3.js
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    Data Stories -Engaging with Data in a Post-truth World
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    OWL
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    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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    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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    Big Data Mining
    Speaker: Dr Jie Tang ( http://www.tsinghua.edu.cn/publish/csen/4623/2010/20101224172643874184753/20101224172643874184753_.html )

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    Blahs
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    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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    COMP6214 Coursework 1 Data Cleaning and Visualisation
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    Pre-Analytics: Open Data Validation and Cleaning
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    Profile Picture Mr Christopher Spain
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    Coursework Spec and Group Formation + Brief intro to PD
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    Profile Picture Dr Stephen Snow
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    COMP2213 Coursework spec
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    Open Data Formats
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    FY RTS 3 Slides and Portfolio Template
    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. Use the template to compleete the portfolio.

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    Dermatomes
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    Profile Picture Ms Anna Ruff
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    Myotomes
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    UOSM2008 Intro Lecture Slides
    For semester 2 2017-18

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    Profile Picture Mr Nicholas Fair
  147. .
    UNSPECIFIED
    Shared with the University by
    Profile Picture Mr Nicholas Fair
  148. [img]
    Preview
    [img]
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    Student Seminar Skills
    Reading around and group contributions around the topic of Campus CyberCrime

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

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  150. [img]
    Designing for Everyone
    Shared with the University by
  151. [img]
    Accessibility Overview
    Shared with the University by
  152. [img]
  153. [img] [img]
    Computer Applications: Python 10
    It is about drawing and animating graphics on a canvas in Python.

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

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

    Shared with the University by
    Profile Picture Mr Ritesh Puttur
  157. [img]
    Introduction to human data interaction
    Shared with the University by
    Profile Picture Prof Elena Simperl
  158. [img]
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    [img]
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This list was generated on Fri Oct 19 21:56:02 2018 UTC.