Course Title: Mechatronic Design

Part A: Course Overview

Course Title: Mechatronic Design

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MIET2362

Bundoora Campus

Undergraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

Sem 2 2007,
Sem 1 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013,
Sem 2 2014,
Sem 2 2015,
Sem 2 2016

MIET2362

Bundoora Campus

Undergraduate

172H School of Engineering

Face-to-Face

Sem 2 2017,
Sem 2 2018,
Sem 2 2019,
Sem 2 2020

Course Coordinator: Dr Amirali Khodadadian Gostar

Course Coordinator Phone: +61 3 9925 4593

Course Coordinator Email: amirali.khodadadian@rmit.edu.au

Course Coordinator Location: 251.02.038-1

Course Coordinator Availability: By appointment via email


Pre-requisite Courses and Assumed Knowledge and Capabilities

• MANU 2205 Introduction to Mechatronics, or MIET2370 Mechatronics Principles , or equivalent
• MANU1174 Automatic Control Systems or MIET1076 Dynamics and Control, or equivalent
 


Course Description

In this course, you will study general practices and methodologies have been employed for sensing, perception and actuation in engineering contexts. The course provides a broad understanding of the role of mechatronics systems in the industry and enables you to develop skills in designing intelligent electro-mechanical systems. The course will specifically:

•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 the implementation of automation technologies.


Objectives/Learning Outcomes/Capability Development

 

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

  • Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
  • Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
  • In-depth understanding of specialist bodies of knowledge within the engineering discipline.
  • Discernment of knowledge development and research directions within the engineering discipline.
  • Application of established engineering methods to complex engineering problem solving.
  • Fluent application of engineering techniques, tools and resources.
  • Application of systematic engineering synthesis and design processes.
  • Application of systematic approaches to the conduct and management of engineering projects.
  • Effective oral and written communication in professional and lay domains.


 

Course Learning Outcomes (CLO)s:

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.
  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

The emphasis of this course is on problem-based learning. Learning activities include: lectures, tutorials, project and laboratory simulation activities.


Overview of Learning Resources

You will be able to access course information and learning resources on Canvas.This can include lecture material, practical examples, 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 (Leaning & Teaching).

Assessment Item 1: Programming test 
Weighting of final grade: 20%
This assessment task supports CLOs 2

Assessment Item 2: Project Reports
Weighting of final grade: 30%
This assessment task supports CLOs 1, 2, 3, 4, 5

Assessment Item 3: Project Presentation and demonstration
Weighting of final grade: 10%
This assessment task supports CLOs 1, 2, 3, 4, 5

Assessment 4: Exams 
Weighting of final grade: 40%
This assessment task supports CLOs 1, 2, 3, 4, 5