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AUTO07034 2018 Advanced Automation Technology

General Details

Full Title
Advanced Automation Technology
Transcript Title
Advanced Automation Technology
Code
AUTO07034
Attendance
N/A %
Subject Area
AUTO - Automation
Department
MECT - Mechatronics
Level
07 - Level 7
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2018 - Full Academic Year 2018-19
End Term
9999 - The End of Time
Author(s)
David Mulligan, Mohammad Saiful Huq
Programme Membership
SG_EMTRN_B07 201900 Bachelor of Engineering in Mechatronic Engineering SG_EMTRN_J07 201900 Bachelor of Engineering in Mechatronic Engineering SG_EMTRN_J07 202000 Bachelor of Engineering in Mechatronic Engineering SG_EROBO_H08 202000 Bachelor of Engineering (Honours) in Robotics and Automation SG_EMSYS_B07 201900 Bachelor of Engineering in Mechatronic Systems SG_EMECH_N07 202000 Certificate in Mechatronic Engineering SG_EMECS_H08 202400 Bachelor of Engineering (Honours) in Mechatronic Systems SG_EMECH_N07 202400 Certificate in Mechatronic Engineering SG_EMECH_J07 202300 Bachelor of Engineering in Mechatronic Engineering SG_EMTRN_B07 202300 Bachelor of Engineering in Mechatronic Engineering SG_EROBO_H08 202400 Bachelor of Engineering (Honours) in Robotics and Automation SG_EMSYS_B07 202400 Bachelor of Engineering in Mechatronic Systems SG_EROBO_H08 202500 Bachelor of Engineering (Honours) in Robotics and Automation
Description

This module deals with various automation technologies ranging from:

Advanced PLC Programming

Scripting to interface with PLC

Embedding C# or other languages into PLC applications

Safety BUS PILZ stop buttons

Apply these technologies to routine industry scenarios

 

 

Learning Outcomes

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

1.

Apply advanced PLC programming

2.

Embed C# or other languages into PLC applications

3.

Apply scripting to interface with PLC

4.

Implement machinery safety using Pilz SafetyBUS p standard

5.

Apply the above technologies to routine real-life industry scenario

Teaching and Learning Strategies

Online labs and full time and online delivery

 

Module Assessment Strategies

Exam and Labs

Repeat Assessments

Resubmit/Redo the virtual labs
Repeat exam paper

Indicative Syllabus

The indicative syllabus will involve:
Review of Automation programming with PLC
State Transition Diagrams
Scripting Languages and their uses in automation
C# and other instructions
Automation programming applications

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
40 %
End of Semester / Year Formal Exam
60 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Automation Practicals Practical Skills Evaluation 40 % End of Semester 1,2,3,4,5
             
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Exam Final Exam Closed Book Exam 60 % End of Semester 1,2,3,4,5
             
             

Module Resources