Linked, Open Data and the Internet of Things - Professional course

Program Overview

This program, "Linked, Open Data and the Internet of Things," equips participants with the knowledge and skills to utilize linked data and IoT effectively. Assessment includes a coursework project and written exam, and the program is led by an experienced professional in the field. Graduates are prepared for careers in data analysis, knowledge engineering, and IoT development.

Program Outline

Degree Overview:

Additionally, they will gain insights into the unique challenges and opportunities presented by the proliferation of connected devices and sensor networks within the IoT landscape.

Outline:

Each session is divided between lectures and tutorial sessions.

The program covers the following topics:

• 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.
• 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.

Assessment:

The coursework project allows participants to demonstrate their understanding of the concepts and apply their skills to a practical problem. The written exam assesses the participant's theoretical knowledge of the subject matter.

Teaching:

The lectures introduce key concepts and theoretical foundations, while the tutorials provide opportunities for discussion, problem-solving, and application of the learned knowledge.

Careers:

Potential career paths include:

• Data Analyst
• Data Scientist
• Knowledge Engineer
• Ontology Engineer
• IoT Developer
• Web Developer

Other:

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.