Technical Training

Cyber-Physical Systems (CPS) & IoT (Module)

Objectives

The Cyber-Physical Systems & IoT (CPS) module adopts an applied learning approach to understanding embedded systems, the Internet-of-things (IoT) and the cyber-physical systems (sensors, control boards) necessary for data acquisition in industrial environments. The aim of this module is to enable the learner to programme standard ICT Boards, I/O, sensors and gateways in order to collect time-series data streams. Furthermore, the application of data stream analysis at the Board/Gateway level (edge computing) will be explored. 5 ects of Level 9.

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.

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. Digitalisation of 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 application of cyber-physical systems, the Internet of Things and industrial networks in a relevant industrial context.
● Specify and configure a suitable distributed embedded system for a data acquisition application in industry.
● Programme an application to acquire and log time-series data streams, with appropriate time-stamps, data cleansing and formatting.
● Programme an edge based data analysis algorithm to provide condensed information for transfer.
● Implement an application to capture and analyse relevant real-time industry data, relevant to the learners practice.

Schedule of Delivery:

4 Full Days on Campus, TUS Midwest


ASSESSMENT: 100% CA

Programme Costs:

• Irish Medtech Skillnet members residing and working in Ireland: €550 for the module
• There is no vat on training

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.