Items where Year is 2020

This is the specification for the third deliverable of the Interaction Design Portfolio Coursework. It covers: writing a problem statement; ideation evidence; defining the design concepts for candidate prototypes for development

A practical looking at how natural hazards spatial data can be analysed using emerging hotspot analysis

Week 8 & 9 - Python: This will be a practice on Lists, Tuples, Dictionaries, and Set

This resource gives an overiew of Ethical approaches to researching human behaviours, attitudes, motivations and beliefs in the context of Interaction design. It is based on the ACM guidelines and follows the policy and guidelines of University of Southampton Research Governance.

COMP2213 Coursework specification for 20/21

This is the specification for the second deliverable of the Interaction Design Portfolio Coursework. It covers Interview Analysis, Thematic Analysis, Code book generation and Affinity Diagrams

Feedback on submissions and how to deal with feedback

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

Week 7, Python: This will be a practice on functions.

An exercise introducing a simple land use change conversion model using Markov chains in ArcGIS Pro.

Topics: String, HashMap, Inheritance, Polymorphism

An examination of contaminated sites in New Jersey using ArcGIS Pro.

This practical implements a simple soil water deficit model via the iterators feature in ArcGIS Pro Model Builder

An exercise examining land cover change over 20 years in Zimbabwe

An exercise introducing the idea of sequential snapshots via land cover maps for Zimbabwe.

A look at how climatological data can be processed and visualised using ArcGIS Pro.

Relationship between two variables: correlation, covariance and r-squared.

An introduction to GAP Analysis for conservation, using the example of Zimbabwe's protected areas.

An exercise looking at landscape composition and patch metrics for ecological management

A look at some seabird numbers using spatial statistics tools within ArcGIS Pro

We discuss different features of IDEs and review IDEs such as BlueJ and IntelliJ

This is the coursework description for Programming I.

COMP6235 Foundations of Data Science - Stats part, solutions to handout 2, including normal distribution and confidence intervals.

This version of the Waste App is accessible and can be used with Jaws Screen Reader.

This year's questions from students about the coursework

Career Development Plan as Word Document

A practical that introduces the hydrological tools within ArcGIS Pro

Solutions for Handout 1, and boxplot

Practical looking at viewshed calculations at a North American site

A brief introductory lecture along with a supporting tutorial in a quiz style which needs to be used alongside the career development plan described in the coursework specification http://edshare.soton.ac.uk/20635/ The second half of the slideset is designed for self study

interactive exercises for Java - conditionals, variables, methods

Intro to Technical Report

An ArcGIS Pro practical looking at 3D visualisation

Practical looking at multipatch data in the Nottingham area

Compiled coursework including checklist plus checklist available as a single document. checklist revised to reveal missing text. A single document containing coursework brief, a checklist to be used as a marking framework, a template for a career development plan, a cover sheet to be used for the handin and a selection of ten work opportunities for which first year students can apply

A practical explaining how the 'topo to raster' algorithm can be used

A guide to students outlining a programme of self study to accompany the rest of this part of the module

Problem solving session for Stats 2

Problem solving session for stats 1

Relationship between two variables: correlation, covariance and r-squared

ND, estimation, confidence intervals

Copy of slides presented in second CV lecture topic "What Employers Want"

Copy of slides presented in first CV lecture alongside a summary of the survey responses

LDC_Catalogue_ID: LDC2019T17 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2012T13 Downloaded 14/06/2020

LDC_Catalogue_ID: LDC2019T12 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2019T19 Downloaded 09/01/2020

LDC_Catalogue_ID: LDC2018T24 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC93T3A Downloaded 09/01/2020

LDC_Catalogue_ID: LDC99T42 Downloaded 06/06/2019

LDC_Catalogue_ID: LDC99T42 Downloaded 06/06/2019

LDC_Catalogue_ID: LDC99T42 Downloaded 06/06/2019

LDC_Catalogue_ID: LDC2013T19 Downloaded 14/06/2019

LDC_Catalogue_ID: LDC2019T16 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2019T14 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2019T10 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2019T09 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2019T05 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2019T03 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2018T08 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2018T07 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2018T06 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2015T12 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2015T11 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2012T04 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2012T03 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2011T01 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2009T23 Downloaded 29/11/2019

LDC_Catalogue_ID: LDC2009T07 Downloaded 28/11/2019

LDC_Catalogue_ID: LDC2006T08 Downloaded 09/01/2020

LDC_Catalogue_ID: LDC2019T15 Downloaded 09/01/2020

LDC_Catalogue_ID: LDC2019T13 Downloaded 09/01/2020

LDC_Catalogue_ID: LDC2019T04 Downloaded 09/01/2020

LDC_Catalogue_ID: LDC2017T13 Downloaded 09/01/2020

3.1 practical exercise for GIS for Environmental Management

Exercise in Gorongosa National Park, Mozambique

Datasets downloaded by LDC contact for University of Southampton: Stuart E. Middleton sem03@soton.ac.uk Datasets can be used following a LDC License (non-commercial) by all University of Southampton staff and students Looking up dataset help on LDC dataset (description of dataset and links to samples) https://catalog.ldc.upenn.edu/<LDC_catalogue_ID>

LDC_Catalogue_ID: LDC2014T07 Downloaded 28/11/2019

Follow-up data from Thesis (calculations in Excel Spreadsheet)

Email from authors confirming drop-out numbers

Translated data table

This is my workings to transform % data in paper to mean and SD

MAL QoM (ADL measure) and WMFT (UL Activity)

Data for ARAT (UL Activity) and SIS ADL (ADL measure)

Data for ARAT (UL Activity) and MI (UL impairment) One file is the info from authors - the other is my calculations to turn this into mean and SD

Follow-up (3 month) data recieved directly from authors

Email - Data from author with Means and SD

Produced by Digital Learning Media Team, this resource is a collection of Top Tips on how to produced your own video.

This resource describes the use of storyboards and scenarios as design tools in agile methods. Emphasises the use of personas to ensure user-centric interaction design.

Description of Coursework 2 for COMP1216 (2020-21)

This is the current (at time of publishing) GDPR compliant consent form.

We illustrate the modelling activities using the SmarTaxi Case Study

This lecture about data refinement from Event-B models and generating SPARK/Ada from the model

Introductory slides on SPARK

This is an article outlining the original pilot (this is not particularly well written, but it gets the point across!)

An article written by David Read and colleagues, including information about using self-assessment with talking mark schemes. NOTE: The supplementary information (see page SUPP_8) includes a summary of an analysis of students responses' to evaluative questions, which demonstrate the benefit of this approach

Semantic spaces

Covariance EVD PCA SVD

Topic Modelling

Embedding Data

Introduction to Ada programming language

Back up

COMP1216 Coursework 1 for the academic year 2020-21.

This is the specification for Deliverable 3 which is the 2nd increment of working code

Discovering Groups: Additional Material

Recommender Systems: Additional Resources.

Introducing Event-B (Contexts, machines)

This is the specification for Deliverable 2 which is the 1st code increment.

COMP2211 (Software Engineering Group) Deliverable 1 Specification. Envisioning

Overview of Agile philosophy from the Agile Alliance starting from the Agile Manifesto and including XP values and practices

This worksheet covers all the basics of Python Programming that we have covered in the first six weeks of this course.