Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Mechatronics and Machine Learning | |||
| Reference | EN3552 | Version | 2 |
| Created | March 2024 | SCQF Level | SCQF 9 |
| Approved | June 2021 | SCQF Points | 15 |
| Amended | April 2024 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| To provide the student with the ability to demonstrate and apply mechatronics and its automation systems. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Evaluate various components such as electrical and mechanical sensors, actuators, and electrical motors for mechatronics and automation systems. |
| 2 | Apply the design and analysis of mechatronic systems and its implementation in the form of automation systems in either laboratory or software based settings. |
| 3 | Apply intelligent systems approach and the principle of computational intelligence to the solution of complex problem in computational intelligence based digital systems with awareness of the wider context of engineering. |
| Indicative Module Content |
|---|
| Introduction to mechatronics: examples of mechatronic systems, automation concepts, design approaches. Mechanical components of motion, hydraulic, pneumatic, and mechanical actuation systems. Modelling of mechatronic systems. Sensors & Actuators: theory and operation, types of sensors and transducers, sensor/actuator selection, technologies and applications. Motors: Special motors; Stepper motors, types, principles, characteristics, and control; Switched reluctance motors, principles and applications; Brushless dc motors; Universal motor; Synchronous reluctance motor; Servomotors and drives; Motor selection. PLCs: Configuration and programming. Computational Intelligence based digital systems: Artificial Intelligent, Machine Learning, Artificial Neural Networks. |
| Module Delivery |
|---|
| Full-time students: This module is delivered by a combination of lectures and tutorials. It will be supported by practical examples and activities including computer based laboratory exercises. Part-time students: This module is delivered by a combination of lectures and tutorials online. It will be supported by online drop-in evening sessions. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 40 | 40 |
| Non-Contact Hours | 110 | 110 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Coursework | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3 |
| Description: | Lab-based coursework exercises and a final report. | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| Component 1 comprises 100% of module grade. To pass the module, a D grade is required. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | A |
| B | B |
| C | C |
| D | D |
| E | E |
| F | F |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | EN2510 or equivalent (Electronic and Electrical Engineering students). EN1562 or equivalent (Mechanical and Electrical Engineering students). |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | Isermann, Rolf. Mechatronic Systems. London: Springer London, Limited, 2007. Web. |
| 2 | Regtien, Paul P. L, and Dertien, Edwin. Sensors for Mechatronics. 1st ed. San Diego: Elsevier, 2018. Elsevier Insights. |
| 3 | Crowder, Richard M. Electric Drives and Electromechanical Systems : Applications and Control / [internet Resource]. Second ed. Kidlington, Oxford; Cambridge, MA: Butterworth-Heinemann, 2020. |
| 4 | Hughes, Austin, and Drury, Bill. Electric motors and drives: fundamentals, types, and applications. 5th ed. Kidlington: Newnes, an imprint of Elsevier, 2019. |
| 5 | Bolton, W. Programmable Logic Controllers. 6th ed. Cambridge: Elsevier Science & Technology, 2015. |
| 6 | Awrejcewicz, J, et. al. Mechatronics: Ideas, Challenges, Solutions and Applications. Springer, 2015. |
| 7 | DORF, R.C. and BISHOP, R.C., 2017. Modern Control Systems. 13th ed. London: Pearson Education. |
| 8 | DU, K.L. and SWAMY, M.N.S., 2006. Neural Networks in a Softcomputing Framework. London: Springer. |