Technical Training

Integrated Database Systems

Objectives

The Integrated Database Systems module adopts an applied learning approach to working with data integrated across a range of industrial systems, databases, data historians and controllers. The aim of this module is to enable the learner to interface with distributed industrial systems and collect, store and interpret datasets based at the edge, locally, remotely or on the cloud. Considerations of best practice in data security, protection, data sharing through supply-chains and data archives will be explored.

The 2-Year Master of Science (MSci) in Digitalisation of Manufacturing programme covers essential elements of digitalisation of manufacturing and their application in practice.
The goal of the master’s is to provide an expert level appraisal of relevant technologies, tools and techniques in a range of relevant disciplines, so that the Learner can assess current trends, engage with specialist professionals, and identify the potential benefits of digitalisation of manufacturing and embracing industry 4.0
Credits towards the 2-Year Masters Programme can also be earned through our Micro-Credentialing process. Candidates can attend one or more stand alone modules in response to a specific business need, or with the intention of gradually completing the full programme on an extended schedule. This course can be completed as an elective module of the Level 9 Masters in Digitalisation of Manufacturing, or as a stand-alone accredited training programme (Micro-credential).

The Master's modules include:
1. Database Design & Data Visualisation *
2. Cyber-Physical Systems & IoT *
3. Manufacturing Automation & Robotics
4. Data Analytics & Machine Learning
5. Integrated Database Systems
6. Digital Twins in Production
*This is running as a stand alone module of the Master of Science (MSci) in Digitalisation of Manufacturing programme 

Content includes

On completion of this module the learner will/should be able to; 

• Analyse the flow of data between systems and layers, internal or external, in a relevant industrial context.
• Design an integrated database application drawing multiple data streams from a range of industry standard sources.
• Capture, store and analyse an appropriate data stream on a cloud application and infrastructure.
• Implement a data sharing application, with appropriate protectin, to provided standardised information across a supply chain or network.
• Investigate the long-term archival of industrial data and informatio, relevant to the learners industrial practice.

Assessment:
100% Continuous Assessment

Who should attend

Aimed at existing manufacturing, mechanical, IT or engineering professionals, and those migrating from associated disciplines.

• Principal entry requirement - Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a relevant engineering, computing, or technology discipline.
• Applicants from other Level 8 degree disciplines with a minimum of five years experiential learning in an appropriate manufacturing environment (demonstrating knowledge of mathematics and computing) may also apply. Their admission to the program will be determined by the Limerick Institute of Technology Recognition of Prior Learning (RPL) Process.

  Qualification

  5 ECTS (Level 9)

  Upcoming dates:

  No training dates available at the moment.