Items where Year is 2018

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.

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

Slides with dome examples of uses for data science in astronomy

Two slides following up on the behaviour change lecture (first half of the lecture) and then general feedback from Assignment 1

Given by Kate Greenwell, Dept of Psychology

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.

FutureLearn run a large international education website containing LOTS of media. Can you estimate the size of their web hosting bill?

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?

notes for revision lecture programming 1

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)

Guest Lecture - Alison Knight

This is the shortened version of the original Enron Dataset we provided earlier.

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.

notes for languages balloon debate

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.

iPython notebook and instructions for installing and running the virtual machine and notebook.

Design guidelines and examples of interactive visualizations and dashboards. Explaining machine learning through visualizations.

Introduction to computer languages

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.

Guest Lecture - Caroline Wilson

Resources from the teaching abroad booster session for PGCE Primary, Secondary & FE trainees

A primer for data scientists

Slides

Evaluation II, COMP2213

Lecture notes on Tim Berners-Lee's paper, and on the PageRank algorithm

Cognition in the context of Interaction Design covers: attention; memory; perception and learning. Interface / interaction design can affect how well users can use these capabilities. The resource covers theoretical farmeworks informing design From an original lecture by Stephen Snow

The relevant material, such the IPython Notebook, for the first Hadoop Tutorial.

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.

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.

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

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

Lecture notes for AI topic

Lecture notes for programming 1

Space Cadets Challenge 6 Review

slides and guide for classroom activity about teams.

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.

Showing a timescale for researching and writing your report

Week 10: this involves a recap of what you have learnt, as well as while loop, algorithms, pseudocode and sorting.

Steve's lectures on Prototyping COMP2213 2018-19 revised 2020-21

COMP2213 lectures on HCI theories. Norman model of interaction; affordances; emotional design; distributed cognition. from an original lecture by Steve Snow

Lecture on testing and debugging in Java for Programming I

Lecture notes for lecture 7 in topics in computer science

Ethics Lecture Slides

Space Cadets Challenge 5 Review

Guidance notes with mark scheme

First half of the series, for data visualisation.

general guide to report writing style details

COMP3200, 2018/19- Steve Snow

10th lecture on programming 1, using Java

Space Cadets Challenge 4 Review (Use Acrobat Reader for animation)

Lecture notes

COMP2213 Jon Staniforth lecture slides: Designing for the Web

Guest lecture slides

lecture notes for advanced charts, lecture 5 Data Visualisation

CW3 specification

Notes and in class exercise

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.

Config file for COMP1202 coursework

COMP2213 Design Jam

COMP2213 Design Jam

COMP2213 Design Jam

COMP2213 Design Jam

COMP2213 Design Jam

COMP2213 Design Jam

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

lecture notes for topics in computer science

CW2 related notes at http://edshare.soton.ac.uk/17826

Week 6, Python 3: first revision

Week 5, Python 2: input, output and decisions

Space Cadets Challenge 3 Review

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.

Spam comments dataset for Hadoop in COMP6235

40% coursework

Space Cadets Challenge 2 Review

Notes for COMP1202 lecture 8

Analysis methods for qualitative data including: theoretical framework for analysis ; thematic analysis for coding data; grounded theory; and affinity diagrams. These are used in the context of Interaction Design. This resource and Qualitative Methods can be used together

Qualitative Methods 1 First of 2 lectures: QM 1 is an introduction to practical qualitative methods based on Contextual Inquiry; interviews (Structured/unstructured); ethnography; diary studies; probes (cultural/technology). Qualitative Methods 2 covers analysis of data captured using these methods

Teaching loops and arrays in Java

COMP2213-2018-19 Coursework Specification and Criteria

Describes some common narrative design patterns, strategies that could be employed by the students for completing their coursework

Materials needed for the Planning a Data Visualisation lecture

Interfaces lecture slides COMP2213

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.

COMP1205 presentation lecture, Steve Snow

COMP1205 lecture on abstract writing

In class exercise

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

Space Cadets Challenge 1 Report

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.

A computer practical introducing the analysis of wild boar movements with the R package

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

Various ArcGIS version 10 format practicals relating to environmental management

Material for COMP1202 Programming I - Space Cadets

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

Week 6, Python 3

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.

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

Introduction to COMP6234 Data Visualisation

Laboratory Introduction

Employability lecture updated link to 2020 welcome survey

Introductory Lectures (Week one, lecture 1 and 2. 2020-2021 Lecture 1 covers course summary and structure; lecture 2 introduces assessment

For use when groups cannot agree an equal distribution of marks. It is a request submitted to the Module team for approval (or not)

Week 4, Python 1 - Introduction to Python: syntax, variables, maths and comments

Week 3, Digital Literacy 3

Week 2, Digital Literacy 2

Week 1: Digital Literacy 1

This folder contains the proformas used to prompt reflection in students

A template for the report as part of the COMP6234 coursework

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.

Collections of all the recording of the Web & Internet Science Research Seminars from 2018

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

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.

An example of articulate from Daryl Peel

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.

COMP6237 lecture material Markus Brede, one zip file

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.

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.

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.

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

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.

This has wide screen large browser

This is a repeat of the last test but incorporating a larger viewing window in a desktop environment.

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.

Updated only to change the date of the final handin to May 11th instead of May 4th

A brief, non-technical, overview of the development of AI and Machine Learning as a particularly fruitful set of techniques

SEG

Updated by S.Snow 8th March 2018

Speaker: Dr Jie Tang ( http://www.tsinghua.edu.cn/publish/csen/4623/2010/20101224172643874184753/20101224172643874184753_.html )

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.

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

For semester 2 2017-18

Reading around and group contributions around the topic of Campus CyberCrime

Profiles of companies attending the 2018 Engineering & Technology Careers Fair, with stand plan

It is about drawing and animating graphics on a canvas in Python.

It is about creating graphical user interfaces for Python applications.

R- code for research paper "Correlations in financial time series"