Professional course

Linked, Open Data and the Internet of Things

About this course

Course code:
Z41000096
Applications:
University
Level:
Professional/Short Course
Department:
Computer Science and Creative Technologies
Campus:
Frenchay
Duration:
Twelve two-hour sessions, scheduled over twelve continuous Wednesdays
Delivery:
Through weekly lectures and tutorial sessions
Programme leader:
Dr Steve Battle
Key fact:
This course can count towards one of our postgraduate qualifications within our Information Management and Information Technology Awards.

Page last updated 4 September 2019

Introduction

The creation of structured, semantically rich datasets is an important step towards better reuse and recombination of data from diverse sources. In addition to best practice in the creation of linked data, this module will introduce you to the tools and methods for querying linked data and for representing rich ontologies that help define data-rich domains. The module will look particularly at consumption and processing of data produced by networked sensors making up the Internet of Things. 

Entry requirements

Participants are expected to have a first degree at 2.2 level or above (or equivalent), or alternatively have six-months of relevant industrial experience.

Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.

We strongly recommend that you speak to the course tutor prior to the course if you are unsure about your suitability to complete the assessment.

Careers / Further study

This module can be taken as a standalone module, or used to build up credit towards a named postgraduate qualification (PG Certificate, PG Diploma or Masters) within our Information Management and  Information Technology awards

Structure

Content

This module will cover the following topic areas:

  • Introduction: The open data movement, the role of linked data, origins.
  • Ontology: Ontology as a shared model of objects, their properties and relationships in a domain, OWL (Web Ontology Language), description logic, meta-models, re-use, relationship to vocabulary, taxonomy.
  • Semantic models: Metadata, URIs and URLs as the foundation of the semantic web, RDF (Resource Description Framework), creating a dataset based on the domain ontology, RDF serializations including Turtle, named graphs.
  • Querying Semantic Data: The SPARQL query language (SPARQL Protocol and RDF Query Language, pronounced "sparkle"), SPARQL endpoints.
  • Publishing Linked Data: Publishing models on the web, Open Linked Data, Enterprise Linked Data.
  • Consuming and Visualising linked data: Web-based Javascript clients, JSON-LD, D3 visualization.
  • Internet of Things: Consuming and visualizing IoT sensor node data.
  • Open or Closed? Understanding the challenges of open versus closed data on the Internet of Things.

Learning and Teaching

The module is delivered through weekly lectures, tutorial sessions and demonstration, which take place on consecutive weeks.

 

Independent learning includes hours engaged with essential and further reading, assignment preparation and completion (approx 125 hours)

Study time

This module will involve 2 hours direct contact time per week for one semester equally divided between lecture and tutorial sessions.

Each 15 credit course (module) is expected to take 150 hours to complete:

  • 24 hrs contact time trough lectures and face to face discussion
  • 30 hrs coursework preparation
  • 86 hrs assimilation and development of knowledge
  • 10 hrs exam preparation

Assessment

Assessment will be through a coursework/practical project and a written exam.

For more details, see our full glossary of assessment terms.

Features

Study facilities

The University has excellent facilities, accessible to all students, as required; however, it is expected that much of the work will be carried within the work environment.

Find out more about the facilities and resources UWE has to offer.

Prices and dates

Supplementary fee information

CohortJanuary 2020
UK/EU Participants£625
International Participants£1,083
Application DeadlineMonday 13 January 2020*

*Please note parking and refreshments are not included as part of your course fee

Course dates

CohortStart DateSession Time
January 2020Wednesday 22 January 2020*12:00 - 14:00

*then every Wednesday until 01 April 2020; and 22 April 2020

Location

UWE Bristol, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY

How to apply

How to apply

As this module carries university accreditation, please note that once you have submitted your booking form, you will be required to provide the following supporting information to the administration team for the module tutor to be able to review and formally accept your application as required by the university:

  • An up-to-date copy of your Curriculum Vitae (including contact details of a work or academic reference)
  • A brief personal statement to support your application
  • A copy of your highest qualification certificate and transcript of modules studied
  • A copy of photographic proof of ID (i.e. driver's licence/passport). For non UK students, this must be a copy of your passport

Overseas participants will be required to provide evidence of visa status once accepted onto the course, before they can be fully registered and attend.

Cohort  
January 2020Book NowEnquire Now

For further information

  • Email: For all queries regarding administration aspects of registration, i.e. dates, fees, etc. please contact us using the online enquiry form link or telephone number below. For any questions in relation to the course, i.e. content, suitability, assessments, etc. please contact the Programme Leader, Dr Steve Battle.
  • Telephone: +44 (0)117 32 86927

Back to top