Professional course Linked, Open Data and the Internet of Things
Introduction
This course can count towards one of our postgraduate qualifications within our Information Management and Information Technology Awards.
Accreditations and partnerships:
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.
If you are a non-UK student you will need to show your passport on entry to the UK. Please check your eligibility to visit and study in the UK here. If you are a non-Irish EU national currently resident in Ireland please contact us directly for further advice.
If English is not your country's first language, you will be required to provide evidence to show you meet the UK Border Agency and the University's minimum English Language requirements. Further details are available on our English Language Requirements webpage
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.
Study time
This module (course) will involve 2 hours direct contact time per week for one semester equally divided between lecture and tutorial sessions.
A 15 credit module, like this one, is expected to take 150 hours to complete:
- 24 hrs contact time through 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
Professional accreditation
This module is accredited by the Chartered Institute for Library, Information and Knowledge Professionals.
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 Bristol has to offer.
Take a personalised virtual tour of the Computer Science and Creative Technologies facilities and experience what a typical day could look like here for you.
Prices and dates
Supplementary fee information
Course dates
This course is planned to run again in 2025. Course dates, updated fees and online booking forms will be published here in the summer of 2024. Please complete our online enquiry form below to be notified once these details are made available.
| Cohort February 2025 | Time | Location |
| Twenty sessions, scheduled over twenty-four weeks | TBC | Frenchay Campus |
Course fees
All prices are VAT exempt
| Cohort | February 2025 |
| UK participants | £792.00* |
| International participants | £1,333.00* |
*Fees displayed are based on 2023/24 entry and are an indication only. Please note there might be a small increase for 2024/25. Please complete our online enquiry form below to be notified once these details are made available.
For information on fees, managing your money and determining your fee status, please go to our fees and funding pages.
Course location
UWE Bristol, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY
How to apply
This course is planned to run again in 2025. Course dates, updated fees and online booking forms will be published here in the summer of 2024. Please complete our online enquiry form below to be notified once these details are made available.
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 for the 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
| Cohort | ||
|---|---|---|
| February 2025 | Enquire Now |
For further information
- Email: Please contact us using the online enquiry form link above.
- Telephone: +44 (0)117 32 81043 (option 1, then option 3)