Automation and Mechatronics (875H1)
Automation and Mechatronics
Module 875H1
Module details for 2022/23.
15 credits
FHEQ Level 7 (Masters)
Module Outline
The module involves the knowledge and understanding of key mechatronic concepts including mechanics, pneumatics, electrical, electronics and informatics. It focuses on industrial applications, hence on the study of on-off control, programming using Programmable Logical Controllers (PLCs), control of robotic arms, and machine vision.
The module considers mechatronics systems as an integration of various subsystems, and students will be able to analyse, model, design, program and cost automated manufacturing systems via the integration of such subsystems.
Students will also be familiarized with interpretation of technical information including representation of components using diagrams and circuits, and general safety of operating with/around robotic/mechatronics equipment.
Module learning outcomes
Demonstrate critical analysis of the key aspects (sensing, actuation and communications) of industrial mechatronics systems and their integration.
Deploy and integrate various mechatronics subsystems making sound judgements in complex and unpredictable situations in order to form fully automated systems.
Demonstrate self-direction and originality in tackling and solving industrial automation problems using mechatronics.
Demonstrate a systematic understanding of technical information and circuit diagrams of mechatronic subsystems and components.
Type | Timing | Weighting |
---|---|---|
Coursework | 45.00% | |
Coursework components. Weighted as shown below. | ||
Group written submission | T2 Week 11 | 67.00% |
Practical Assessment | T2 Week 6 (15 minutes) | 11.00% |
Practical Assessment | T2 Week 8 (15 minutes) | 11.00% |
Practical Assessment | T2 Week 10 (15 minutes) | 11.00% |
Unseen Examination | Semester 2 Assessment | 55.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Term | Method | Duration | Week pattern |
---|---|---|---|
Spring Semester | Lecture | 2 hours | 22221111000 |
Spring Semester | Laboratory | 3 hours | 00111111110 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Nicolas Herzig
Assess convenor
/profiles/525193
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