Items where Year is 2019

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Number of items: 164.
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    Blood Supply Quiz
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    Thinglink test
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    Profile Picture Mr Paul Blatch
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    COMP3211
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    Profile Picture Mr Matthew Gogerly
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    COMP1216 - Revision
    Revision

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    COMP2214 - Lecture 21 - Revision
    Revision lecture

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    Open Science for Computational Science and for Computer Science
    Abstract: Computational science (also scientific computing) involves the development of models and simulations to understand natural systems answering questions that neither theory nor experiment alone are equipped to answer. Despite the increasing importance of so-called in-silico experiments to the scientific discovery process, state-of-the-art software engineering practices are not fully adopted in computational science. However, software engineering is central to any effort to increase computational science’s software productivity. Among the methods and techniques that software engineering can offer to computational science, I’ll present work model-driven software engineering with domain specific languages and on modular software architectures. For good scientific practice, it is important that research results may properly be checked by reviewers, and possibly be repeated and extended by other researchers. This is of particular interest for "digital science" i.e. for in-silico experiments. In this talk, I’ll discuss some efforts on open science in both, computational science and computer science. Reference: A. Johanson, W. Hasselbring: “Software Engineering for Computational Science: Past, Present, Future”, In: Computing in Science & Engineering, pp. 90-109, March/April 2018. https://doi.org/10.1109/MCSE.2018.108162940# Biodata: Prof. Dr. Wilhelm (Willi) Hasselbring is professor of Software Engineering and former dean of the Faculty of Engineering at Kiel University, Germany. In the competence cluster Software Systems Engineering (KoSSE), he coordinates technology transfer projects with industry. In the excellence cluster Future Ocean, in the Helmholtz Research School Ocean System Science and Technology (HOSST), and in the new Helmholtz School for Marine Data Science (MarDATA), he collaborates with the GEOMAR Helmholtz Centre for Ocean Research Kiel.

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    Social Linked Data
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    COMP1216 - Design Patterns
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    COMP1216 - Problem Class 9
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    Resources for AFR Exam question
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    COMP1216 - Test Design
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    COMP1216 - Problem class 8
    Managing room allocation in multiple hotels

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    EdShare - creating digital spaces for open education
    Slides from presentation given at the eLearning Symposium conference at University of Southampton in January 2019

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    SBH websitecase 1
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    Data Observatories
    Abstract: The Data Observatory (DO) at the Data Science Institute (DSI) in Imperial College (IC) is the largest interactive visualisation facility in Europe, consisting of 64 monitors arranged to give 313 degree surround vision and engagement Opened in November 2015, the DO provides an opportunity for academics and industry to visualise data in a way that uncovers new insights, and promotes the communication of complex data sets and analysis in an immersive and multi-dimensional environment. Designed, built by, and housed within the DSI, the DO enables decision makers to derive new implications and actions from interrogating data sets in an innovative, unique environment. The talk will provide an overview of the DO capabilities and case studies of its use.

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    Deliverable 4 Coursework Specification
    COMP2211 Software Engineering Group Agile project coursework specification for the 4th deliverable (Increment 3 of working software)

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    student responsibilities
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    Property graphs
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    COMP3218 Coursework 3 Information
    This video includes information on how the third Game Design and Development coursework (Level Design and Tutorials) will be marked

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    Wikidata
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    A Vision for the future of Technology Enhanced Learning : Key trends and implications
    Abstract: The talk will provide a review of the digital landscape, along with an outline of the affordances of digital technologies. It will focus on networking and open practices and will argue that practitioners need new digital literacies to harness the potential of digital technologies. It will argue that the teachers role is central and that they need a range of Continuing Professional Practice. It will describe a new project at DCU, #OpenTeach, which will develop a course for our 90 part-time tutors to help them design and facilitate online courses. It will argue that new approaches to Learning Design are needed and will describe a number of recent frameworks. It will conclude with a set of final reflections drawing on a recent EU-commissioned report. Bio: Gráinne Conole is a professor and Head of Open Education in the National Institute for Digital Learning at Dublin City University. She has worked at the Universities of Bath Spa, Bristol, Leicester, OU and Southampton. Her research interests are on the use of technologies for learning, including Open Educational Resources (OER) and Massive Open Online Courses (MOOCs), new approaches to designing for learning, e-pedagogies, and social media. She has an HEA National Teaching Fellowship and fellow of EDEN and ASCILITE. She has published and presented over 1000 talks, workshops and articles. See http://e4innovation.co.uk for more details.

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    Message Queues
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    Parallel Databases
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    COMP1216 - Solving Puzzles with Invariants
    - "Chameleons of three colours" riddle

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    Group work PDF
    This complements the information provided in the online resource called 'Learning outcomes: Guidelines, reminders and tips'.

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    Writing learning outcomes: summary PDF
    This is a PDF providing the information covered in the online resource called 'Learning outcomes: Guidelines, reminders and tips'

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    COMP2214 - Lecture 15 - Verification in Dafny
    Verification in Dafny

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    COMP2214 - Lecture 14 - Loops
    Reasoning about looping programs

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    Creative Entrepreneurs
    I will be speaking about how creative entrepreneurs can benefit from working with a range of intermediaries (instead of trying to do everything themselves). But a major challenge is how to connect those creatives with relevant people and supports.

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    COMP1216 - Problem class 7
    Model a hotel reception system in Event-B

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    13 Rules.pptx
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    AI in recent art practice
    Abstract: Over the past couple of years, there has been increasing interest in applying the latest advances in machine learning to creative projects in art and design. From DeepDream and style transfer to a GAN-generated painting selling for $430,000 at auction, AI art has moved beyond the world of research and academia and become a trend in its own right. Meanwhile, the contemporary art world's fascination with the social impact of facial recognition, recommendation systems and deep fakes has encouraged artists to explore AI critically as subject matter. This talk will give an overview of how artists and technologists are using and thinking about machine learning, its creative potential and societal impact. Bio: Luba Elliott is a curator and researcher specialising in artificial intelligence in the creative industries. She is currently working to educate and engage the broader public about the latest developments in AI art through talks, workshops and exhibitions at venues across the art and technology spectrum including The Photographers’ Gallery, Victoria & Albert Museum, Seoul MediaCity Biennale, Impakt Festival, Leverhulme Centre for the Future of Intelligence, NeurIPS and ECCV. Her Creative AI London meetup community includes 2,300+ members. She has advised organisations including The World Economic Forum, Google and City University on the topic and was featured on the BBC, Forbes and The Guardian. She is a member of the AI council at the British Interactive Media Association. Previously, she worked in startups and venture capital and has a degree in Modern Languages from Cambridge University.

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    COMP3218 Coursework 2 Information
    This video includes information on how the second Game Design and Development coursework (Interactive Narrative) will be marked.

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    COMP1216 - Problem class 6
    Modelling using Relations

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    Artificial Intelligence, Military Ethics, and Moral Responsibility
    An introduction to the use of autonomous drones in military scenarios

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    COMP2214 - Lecture 13 - Contracts
    Slides from Prof Michael Butler

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    Power and Trust
    Like any form of human interaction and communication it is possible to view Social Media as a means for the powerful to influence and control the less powerful. But what is power on social media, how might we measure or affect it, and does it translate to the real world? In this lecture we will explore how power has been analysed in social networks and social media systems. We will also look at the characteristics of social networks that impact on power, including Homophily and CyberBalkanization. Finally we will ask what evidence there is that power in social media can affect what goes on in the real world, and explore some real examples to see what the consequences of social media activity can be. Concluding that the power of social media often lies with those operating the network, or with access to the data, rather than the individuals using the system. Trust is a complex philosophical, social and technical notion, but it underlies many of our digital interactions including e-commerce and collective intelligence. In this lecture we will explore how software engineers have implemented trust models based on policy, provenance and reputation. We will take a closer look at both Global and Local reputation-based trust, and see how assumptions of transitivity and asymmetry are useful. Finally we will look at trust in information, otherwise known as credibility, and look at the phenomenon of fake news and how trust methods have been used to combat it.

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    COMP1216 - Problem Class 5
    Modelling with Sets

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    COMP1216 - Relations in Event-B
    Modelling using Relations in Event-B - Order Pairs - Cartesian Product - Relations - Domain/Range of relations - Relational Image

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    Testing Lecture
    Lecture on testing for SEGP

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    COMP1216 - Problem Class 4
    Dynamic Modelling

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    COMP2214 - Tutorial 04 - Fixing models using failing proofs
    Fixing models using failing proofs

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    COMP2214 - Lecture 08 - Extension Refinement
    - Abstraction & Refinement - Extension Refinement

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    COMP1216 - Activity and Sequence Diagrams Revisited
    Revisit Activity and Sequence Diagrams

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    The Paradigm of Smart Circular Economy
    Abstract: Circular Economy is a paradigm for sustainable growth that envisions the transformation of how modern societies design, produce and consume goods and services towards a regenerative economic cycle. Future and emerging technologies, such as 5G, the blockchain, and crowdsourced sensing systems, along with innovative models and paradigms, such as the Internet of Things, Industry 4.0, and community networks, will play an important role in the transition to Circular Economy by enabling and facilitating, among others, digitization (efficient asset management, open data, etc.) and collaboration (co-innovation, shared value creation, etc.). In this talk we will introduce the paradigm of Smart (i.e. data-driven) Circular Economy, we will review corresponding technological enablers and will present data-driven circular business models. Biodata: Dr. Marios Angelopoulos is Principal Academic in Computing at Bournemouth University (UK), specialising in future and emerging paradigms of computer networks and distributed systems. Previously, he was with University of Geneva (CH) under the prestigious Swiss Government Excellence Scholarship for Foreign Researchers. At BU, he has established and leads the Open Innovation Lab (OIL) and is a founding member of the Future & Complex Networks (FlexNet) Research Group. He is also the founding Programme Leader of three master courses in the area of Internet of Things. Marios is also active in international standardisation bodies. Since 2018, he serves at the International Telecommunication Union (ITU-T) as Associate Rapporteur of Question 5 "Research and emerging technologies, terminology and definitions" in Study Group 20: Internet of Things (IoT) and Smart Cities and Communities (SC&C). He is also the Liaison co-Rapporteur of Study Group 20 to the Standardization Committee for Vocabulary (SCV). His research on Crowdsourced Systems has greatly contributed to the ITU-T work item on "Requirements and Functional Architecture of IoT-related Crowdsourced Systems". Finally, he has published in and served in the committees of several highly-esteemed international Journals and Conferences in his area of expertise (such as IEEE ToN, Elsevier's ComNet, ComCom, Ad-Hoc Nets, IEEE ICDCS, DCOSS, ICC, ACM MSWiM, etc).

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    Phillip Fenberg - iSolutions Sensei Sessions
    Phillip came to talk to us about his teaching at the NOC. He has some interesting challenges in his work including what to do with a large collection of images of butterflies and moths.

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    COMP1216 - A Case Study on Class Diagrams
    We take a look at the OOtumlia airlines case study on class diagrams

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    COMP3218 Coursework 1 Information
    This video includes information on how the first Game Design and Development coursework (Level Design and Tutorials) will be marked

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    COMP3218 General Coursework Information
    This video includes a general overview for completing the Game Design and Development coursework, including academic integrity, aspects of the markscheme common to all coursework, and general tips.

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    Love Data Week Talk: There's No such Thing As Open Data
    Chris Gutteridge an award winning developer in iSolutions, will be posing the provocative statement: ‘There is no such thing as open data’. Maybe perfection in a few open datasets isn't the goal and we should concentrate on removing barriers to data instead. Chris Gutteridge is a developer at the University with a long track record for innovative developments in open access and open data. He was the lead developer for early versions of ePrints and created data.southampton.ac.uk which provides open access to a number of non-confidential administrative datasets at the University. He has won numerous national awards including the 2012 Times Higher Education Award for Outstanding ICT Initiative of the Year and the CILIP Jason Farradane Award for his outstanding contribution to the information profession in 2017. The video of Chris's talk and the other talks in Love Data Week 2019 are available from http://library.soton.ac.uk/lovedata

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    08 OWL
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    Computer Applications: Group Project - Project Startup + agile
    First week of Group Project

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    COMP1216 - Problem class 3
    Object modelling

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    D3 resources
    Further D3 resources

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    07 Description Logics
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    Data Trusts: What Are They There To Do, and What Should They Look Like?
    Abstract: In Wendy Hall's 2017 AI review, the first recommendation was to create data trusts to encourage data access and data sharing. A number of initiatives are exploring these ideas in concrete contexts, including Elena Simperl's Data Pitch project and the Open Data Institute's work on data innovation. This talk will consider the question in more abstraction, to consider data trusts' function, and how this will determine their form. I will argue that a data trust should work within existing law to provide ethical, architectural and governance support for trustworthy data processing, and I will unpack this in terms of how it might create trust, what architectures might help implement data trusts, and how they relate to the existing law of trusts. Biodata: Kieron O'Hara is an associate professor in the WAIS group of ECS. His research interests are in trust, privacy and the nature of digital modernity. He is a lead in the UKAN network of anonymisation experts. His latest book, The Theory and Practice of Social Machines (with Nigel Shadbolt, Dave De Roure and Wendy Hall) will be published by Springer in March.

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    D3.js
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    Systems Design: UML Activity and Sequence Diagrams
    In this session we look at how to model flow of control and interactions between components using UML Activity and Sequence Diagrams. This is an introductory session and so for Activity Diagrams we only cover branching, forks and joins and swim lanes, and for Sequence we cover lifelines, messages and returns, and alt, par and opt frames.

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    Access Structures
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    COMP1216 - Problem class 2
    Functional Modelling

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    Open source best practice + hosting
    Open source best practice, academic integrity, locally hosting a website, introduction to HTML, CSS, SVG

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    Profile Picture Dr Stephen Snow
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    06 RDFS
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    05 Ontologies
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    COMP2214 - Lecture 04 - Set Theory
    A refresher on Set Theory

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    Design 101
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    Profile Picture Dr Stephen Snow
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    UML Class Diagram
    UML Class diagram with example scenarios. Shows: classes, properties and attributes; associations: generalisation, inheritance, component, aggregation

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    LinkedData
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    Data Storage
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    DBMS Architecture
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    Datatypes
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    Introduction
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    Markscheme for Deliverable 5
    COMP2211 SEG

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    What is a Literature Review
    Pilot for Paula Sands

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    Deliverable 5 courseworks specification
    COMP2211 SEG deliverable 5

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    Deliverable 4 coursework specification
    COMP2211 SEG Deliverable 4

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    Profile Picture Dr Stephen Snow
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    Deliverable 3 coursework specification
    COMP2211 SEG Deliverable 3

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    Deliverable 2 coursework specification
    COMP2211 SEG

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    Deliverable 1 coursework spec
    COMP2211 SEG Del 1 coursework spec

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    Open data visualisation basics
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    Profile Picture Dr Stephen Snow
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    COMP2214 - Lecture 05 - Tree File
    - Tree file system - Transitive Closure

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    COMP1216 - Problem Class 1
    Requirement Analysis

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    RDF-complete-lecture
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    Requirements Analysis: UML Use Cases
    Lecture on modeling software requirements using the Unified Modeling Language (UML 2.5)including structured textual Use Case description and Use Case diagram

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    Week 2 pre-analytics
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    Profile Picture Dr Stephen Snow
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    Practice dataset for cleaning
    This is for practice only. This is NOT the dataset for the COMP6214 coursework in 2018/19

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    Coursework 1 dataset for COMP6214 2018/19
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    RDF
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    Open data formats
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    Profile Picture Dr Stephen Snow
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    Foundation Year: Routes to Success w1.1 exercise
    in class exercise - read and follow for indpeneet study if you miss the class. There is also an online survey of this to follow up the anonymous class-wide results in week 2

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    COMP2214 - Proof rules
    Some useful proof rules

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    Engineering & Technology Careers Fair 2019 Programme
    A guide to the companies attending the 2019 Engineering & Technology Careers Fair, with stand plan of the venue

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    COMP2214 - Lecture 01 - Proof-based verification in Event-B
    Proof-based verification in Event-B

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    COMP2214 - Lecture 00 - Introduction
    Introductory slides

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    COMP1216 Software Modelling and Design: Introduction
    Introductory Lecture for COMP1216 Software Modelling and Design.

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    Introduction
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    Jenny Walker - iSolutions Sensei Sessions
    Jenny is a PhD student in Engineering. Her research uses machine learning to identify marine animals in imagines taken by autonomous underwater vehicles. She talks about that an her experiences with iSolutions as a customer.

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    Coursework 1 specification
    COMP6214 Open Data Innovation: Coursework 1 specification

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    Can Google make us Smarter?
    Artificial Intelligence has a very high profile over the last few years, as huge quantities of data from the Web have given computers new kinds of capability. But what about Human Intelligence? Google is building smart cars that understand the roads, but can Google make smart humans that understand the world? In this talk I will look at some of the ways that we have tried to make computers help us to be more intelligent, from Indexing the Internet, to Webs of Semantics, to Data Storytelling.

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    Accessibility Quick Tips (PDF)
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    Test Word document
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    Disruptive Innovator DNA
    This thought provoking talk will be given by Bo Ji, Founder of China Start, an inspiring TEDx speaker, a Chinaprenuer, and a game changer in the global startup ecosystem. Bo is currently the Assistant Dean & Chief Representative for Europe at Cheung Kong Graduate School of Business (CKGSB), a top business school with more than 10,000 chairman/CEO level alumni in China. Bo had an over-20-year successful corporate career in Global Business Development, Innovation, Strategy, Supply Chain Management, M&A, etc and has served at the senior executive level for companies such as Monsanto, Cargill, Pfizer, Wrigley and Mars. After a long corporate life, Bo became a serial entrepreneur and investor and founded “China Start” to bring global startups and scaleups to China. He created a paradigm shift for global startups to expand to China instead of Silicon Valley. Is an innovator born or made? Is it possible to learn the ability of generating innovative ideas? The answer is YES! Our ability to generate innovative ideas is not just a function of our minds, but of our behaviors. There are five “discovery skills” used by innovative leaders that distinguish them from the ordinary: questioning, observation, networking, experimenting, and associational thinking. These skills can be learned and trained. Innovative companies have three components, people, process, and philosophy to support the application of the 5 DNA skills.

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    Computer Applications: Python - Drawing Graphics
    Week 19: it is about drawing and animating graphics on a canvas in Python.

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    Computer Applications: Python - Basic Graphic User Interfaces
    Week 18: It is about creating graphical user interfaces for Python applications.

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    Revision lecture
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    COMP6235 Marks Distribution Form
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    Feedback from interim handins 2018/19
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This list was generated on Tue Jun 18 09:52:14 2019 UTC.