Higher Diploma in Computer Engineering for Autonomous Systems (F/T)

[one_third valign=”top” animation=”none”]

The main objective of the level 6 Certificate in Manufacturing Technology is to provide learners from diverse backgrounds the opportunity to explore and develop their interest in the Pharmaceutical, Biotech and Medical Device industries.

[/one_third]

[two_third_last valign=”top” animation=”none”]

[space]

[/space]

[/two_third_last]

[divider style=”simple”]

[/divider]

Higher Diploma in Computer Engineering for Autonomous Systems (F/T)

[tabs position=”left-top” style=”simple” type=”click”]

[tab_title]

Aim of Programme

[/tab_title]

[tab_content]

Aim of Programme

The overall aim of the programme is to develop a high level of technical capability in the areas of robotic control and networking. The massive connectivity achieved by the adaption of robotics and Internet of Things (IoT) technology has created significant technological opportunity.  

Using real world Problem Based Learning (PBL) approaches the programme will develop learner skills using the resources of the SFI Confirm Center for Smart Manufacturing which is located at AIT. 

This programme brings together the technology strands required to develop autonomous systems.  

Modules in Integrated Automation, Connected Devices and Networking will provide students with the hands on experience of developing solutions deployed on physical robotic and autonomous devices. Within any autonomous system, data analytics and artificial intelligence are critical.  

Modules in Data Mining, Machine Learning and Databases will provide the skills sets required to develop the cognition required for modern autonomous systems. Finally leading edge research in the areas of virtual and augmented reality will be applied in the module Augmented Robotic Interaction.  

Online/Blended

[one_third]

[numbers stop=”8″ suffix=”” icon=”star”]NFQ Level[/numbers]

[/one_third]

[one_third]

[numbers stop=”90″ suffix=”” icon=”star”]Credits[/numbers]

[/one_third]

[/tab_content]

[tab_title]

Programme Content

[/tab_title]

[tab_content]

Programme Content

  • Applied Automation & Integration Project: Develop the student’s ability to carry out independent research into a topic of technical merit
  • Software Design 4.1: The focus of this module is to enable students to enhance their Object Oriented Programming skills
  • Enterprise Networks 4: Evaluate the operation of secure wireless networks.
  • Numerical Analysis and Projection 4: Describe the mathematical mechanisms which support and end to end data analysis process.
  • Connected Devices: Integrate and Evaluate Hardware Controller Platforms Development Techniques, Tools and Frameworks
  • Integrated Automation: Evaluate the Safety, function and benefits of integrated industrial automation systems
  • Databases 4: Construct Structured Query Language (SQL) Statements, including embedded SQL calls using JDBC
  • Software Design 4.2: Employ and Analyse Performance of Searching Data Structure: Hashtables, Binary Trees, and Heaps
  • Data Mining and Machine Learning 4: Setup a data mining project using an appropriate data mining process. Augmented Robotic Interaction: Design and build a small scale hri prototype

[/tab_content]

[tab_title]

Minimum Entry Requirements

[/tab_title]

[tab_content]

Minimum Entry Requirements

Level 7 qualification in ICT related discipline (engineering or software). 

Or 

Level 8 qualification in a non-engineering/ICT discipline 

[/tab_content]

[tab_title]

Induction

[/tab_title]

[tab_content]

Induction

AIT Induction Sessions will take place on Saturday 11th September 2021 9.30am to 1.00pm approx..  This will be a live online Induction and attendance is mandatory. 

All registered students will meet their lecturers and become acquainted with AIT operating systems, such as our online delivery platform, Zoom, Moodle, Rules and Regulations etc.  

[/tab_content]

[tab_title]

Details

[/tab_title]

[tab_content]

Details

Duration

[progress_bar value=”100″ icon=”time” size=”medium”]1 Year[/progress_bar]

One year, one/two evenings per week Online. 

Programme Fee 

To be confirmed. 

NOTE: This programme has been submitted for Springboard+ funding.  

If approved for funding the programme will be free/part-funded to applicants that meet  Springboard+ Funding Eligibility Criteria. 

Confirmation of all Springboard+ Funded programmes is expected in May/June 2021. 

Commencing 

Induction – 9.30 am Saturday 11th September 2021  

Online –  Week commencing 13 September 2021 

Enquiries 

Dr. Enda FallonEmail [email protected] 

[/tab_content]

[/tabs]