Introduction to estuaries and Southampton Water

A resource which answers the question "Why bother to study estuaries?" for SOES 6018. This module aims to ensure that MSc Oceanography, MSc Marine Science, Policy & Law and MSc Marine Resource Management students are equipped with the skills they need to function as professional marine scientists, in addition to / in conjuction with the skills training in other MSc modules. The module covers training in fieldwork techniques, communication & research skills, IT & data analysis and professional development.

Research papers

A presentation on writing research papers for SOES 6018. This module aims to ensure that MSc Oceanography, MSc Marine Science, Policy & Law and MSc Marine Resource Management students are equipped with the skills they need to function as professional marine scientists, in addition to / in conjuction with the skills training in other MSc modules. The module covers training in fieldwork techniques, communication & research skills, IT & data analysis and professional development.

Study Skills: Precis and Argumentation

Society is catching up with the implications of the Web; its use is not straightforward and well-understood. Web Scientists will need to be able to handle arguments about equivocal perspectives on the Web's impact.

Trust

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 look at how different disciplines, including Psychology, Sociology and Economics have come to understand Trust through the lens of their own studies, aims and goals, and will explore how computer scientists and 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 explore trust issues around the largest known store of human knowledge: the Wikipedia

Legislation related to moving and handling

This resource is for Health Scientists

Risk Assessment for blackboard 2011

This resource is for Health Scientists

Safety information and dress code for practical sessions

This resource is for Health Scientists

Session outline and learning outcomes - bed mobility

This resource is for Health Scientists

Learning, Teaching and Lesson Planning

This resource was designed for use with MSc Web Scientists as an introduction to a coursework that requires them to produce some teaching materials.

COMP6037 Seminar 23 10 13: Science, knowledge and technology

Set readings 1. Sismondo S. (2009). The Kuhnian revolution. In An introduction to science and technology studies. p12-22 2. Ben-David J, Sullivan T. (1975) Sociology of science. Annual Review of Sociology p203-21 3. Clarke A, Star SL. (2008) The social worlds framework: a theory/methods package. In Hackett EJ et al. The handbook of science and technology studies. Cambridge MA: MIT Press p113-137 Bonus paper (read if you have time) 4. Mitroff I. (1974). Norms and Counternorms in a Select Group of Apollo Moon Scientists. American Sociological Review 39:79-95 • Aim to ensure that you understand the core arguments of each paper • Look up/note any new terminology (and questions you want to ask) • Think about your critical appraisal of the paper (what are the merits/demerits of the argument, evidence etc) In the seminar we will spend about 5 minutes talking about each paper, and then - building on the two lectures - discuss how these ideas might be used to think about the Web and Web Science. At the end there will be some time for questions and a chance to note your key learning points.

AIC Tutorial: Building Simple Robots

Practical introduction to building simple electronic circuits and small robots; aimed at computer scientists.q

What can Flickr photographs tell us about the world?

In their second year, our undergraduate web scientists undertake a group project module (WEBS2002, led by Jonathon Hare & co-taught by Su White) in which they get to apply what they learnt in the first year to a practical web-science problem, and also learn about team-working. For the project this semester, the students were provided with a large dataset of geolocated images and associated metadata collected from the Flickr website. Using this data, they were tasked with exploring what this data could tell us about the world. In this seminar the two groups will present the outcomes of their work. Team Alpha (Ellie Hamilton, Clayton Jones & Alok Acharya) will present their work on "The relationship between Group Photos, Social Integration and Suicide". This work aims to explore whether levels of social integration (which Durkheim posited as a factor in "Egoistic Suicide" rates) can be predicted by measuring the proportion of photos of groups of people to photos of individuals within a geographical region. Team Bravo (Agnieszka Grzesiuk-Szolucha, Thomas Leese & Ammaar Tawil) will present their work on "Sentiment Analysis on Flickr Photo Tags to Classify a Photo as Positive or Negative, In Order to Determine the Happiness of a Country or Region". This work explores whether estimates of sentiment made by applying SentiWordNet to Flickr tags correlate with indices of world happiness and socio-economic well-being.

Estado del arte sobre neuromarketing aplicado a los estudios políticos

El neuromarketing aplicado a los estudios políticos dio como resultado el surgimiento del neuromarketing político, gracias al desarrollo de diferentes estudios e investigaciones. Se trata de un campo de estudio que estudia e investiga los procesos cerebrales referentes al comportamiento político y la toma de decisiones en la actividad política mediante el uso de herramientas neurocientíficas. Tanto por el interés de académicos, científicos, como también de los candidatos o actores que hacen parte de campañas electorales, o políticos gobernantes incluso, el neuromarketing político ha ido creciendo y cada vez son más los aportes que se realizan en la materia.

Linked Data

Introduction to Linked Data and Semantic Web for data scientists

Data Science, Microsoft and You

In this session we'll explore how Microsoft uses data science and machine learning across it's entire business, from Windows and Office, to Skype and XBox. We'll look at how companies across the world use Microsoft technology for empowering their businesses in many different industries. And we'll look at data science technologies you can use yourselves, such as Azure Machine Learning and Power BI. Finally we'll discuss job opportunities for data scientists and tips on how you can be successful!