Course Title: Advanced Mechatronics System Design

Part A: Course Overview

Course Title: Advanced Mechatronics System Design

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MANU2451

City Campus

Postgraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

Sem 1 2016

MANU2451

City Campus

Postgraduate

172H School of Engineering

Face-to-Face

Sem 1 2017

Course Coordinator: Dr Chow Yin Lai

Course Coordinator Phone: +61 3 9925 4416

Course Coordinator Email: chowyin.lai@rmit.edu.au

Course Coordinator Location: 57.3.18

Course Coordinator Availability: TBA


Pre-requisite Courses and Assumed Knowledge and Capabilities

None.


Course Description

In this course you will study the general practice and methodologies of sensing, perception and actuation in engineering contexts. The course provides a general understanding of the role of automation technology in industry and allows you to develop skills in designing intelligent mechanical systems. The course will specifically:
• Provide an understanding of the role of artificial intelligence technology in industry;
• Develop high level skills in analysis and synthesis of industrial actuation technologies;
• Develop skills in the selection and application of different sensor technologies for various industrial tasks;
• Develop an understanding of the use of artificial intelligence in industrial automation;
• Develop an ability to assess the social and financial impacts of decisions related to implementation of automation technologies;
• Develop knowledge of future trends in mechatronics and related technology innovation.
 


Objectives/Learning Outcomes/Capability Development

This course contributes to the development of the following program learning outcomes.

1.Needs, Context and Systems
- Describe, investigate and analyse complex engineering systems and associated issues (using systems thinking and modelling techniques)

2.Problem Solving and Design
- Develop creative and innovative solutions to engineering problems
- Develop and operate within a hazard and risk framework appropriate to engineering activities

3.Analysis
- Comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities.

4.Professional Practice
- Understand the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline

5.Research
- Be aware of knowledge development and research directions within the engineering discipline.


Course Learning Outcomes (CLOs)

Upon successful completion of this course you should be able to:
1. Demonstrate knowledge about the development and research directions in sensing, perception and actuation technologies.
2. Develop creative and innovative solutions to an automation problem and anticipate the financial and social consequences of any intended action.
3. Comprehend and apply advanced theory-based understanding of intelligent systems in designing automated industrial solutions in the context of new and emerging manufacturing technologies.
4. Describe mechanical design within the context of intelligent solutions and assess the interaction between sensing and actuation in designing intelligent mechanical systems.
5. Use experience with practical industrial examples of intelligent systems to assess the application of theoretical knowledge to industrial situations and demonstrations.


Overview of Learning Activities

Learning activities include: lectures, tutorials, group project and laboratory simulation activities.


Overview of Learning Resources

Course-related resources will be provided on Blackboard, which is accessed through myRMIT. This can include lecture material, practical examples, and there is a prescribed textbook and several recommended references for this course.


Overview of Assessment

X This course has no hurdle requirements.

 ☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

Assessment item:  Group project and presentation

Weighting of final grade:  40%
Related course learning outcomes:
  1, 2, 3, 4, 5
Description: There will be a major assignment in which students in small groups will fully analyse a mechatronics system. You will be required to develop a computer program to simulate your model and present and justify your findings.

Assessment item:  Class test
Weighting of final grade:  20%
Related course learning outcomes:  3, 4
Description: You will undertake problem-based tests related to the selected topics of the course. This will involve design case studies including problem definition, analysis, modelling, simulation, and interpretation of modelling and simulation results.

Assessment item:  Exam
Weighting of final grade:  40%
Related course learning outcomes:   2, 3, 4, 5
Description:  The final semester exam will test your ability to design, analyse and develop a sophisticated mechatronics systems