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,
Sem 2 2021,
Sem 2 2022,
Sem 2 2023,
Sem 2 2024

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

Required Prior Study
You should have satisfactorily completed the below courses before you commence this course:

  • MANU2488 Advanced Manufacturing and Mechatronics: What We Make and How We Make It 
  • MANU1174 Automatic Control Systems
  • OENG1206 Digital Fundamentals

Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course.  

Contact your course coordinator if you think you may be eligible for recognition of prior learning.   


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 following Program Learning Outcomes (PLOs) for:
BH068P23 Bachelor of Engineering (Advanced Manufacturing & Mechatronics) (Honours)
BH086AMH23 Bachelor of Engineering (Advanced Manufacturing & Mechatronics) (Honours) / Bachelor of Business

PLO 1: Demonstrate an in-depth understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering.
PLO 2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.
PLO 3: Apply engineering research principles, methods and contemporary technologies and practices to plan and execute projects taking into account ethical, environmental and global impacts.
PLO 4: Apply systematic problem solving, design methods and information and project management to propose and implement creative and sustainable solutions with intellectual independence and cultural sensitivity. 
PLO 5: Communicate respectfully and effectively with diverse audiences, employing a range of communication methods, practising professional and ethical conduct.

This course contributes to the following Program Learning Outcomes (PLOs) for all other Bachelor of Engineering plans specialising in:
Advanced Manufacturing & Mechatronic; Mechanical; and Aerospace Engineering and associated double degrees:

1 Knowledge and Skill Base
1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
1.4 Discernment of knowledge development and research directions within the engineering discipline.
2 Engineering Application Ability
2.1 Application of established engineering methods to complex engineering problem solving.
2.2 Fluent application of engineering techniques, tools and resources.
2.3 Application of systematic engineering synthesis and design processes.
2.4 Application of systematic approaches to the conduct and management of engineering projects.
3 Professional and Personal Attributes
3.2 Effective oral and written communication in professional and lay domains.

For more information on the program learning outcomes for your program, please see the program guide.  


Upon successful completion of this course, you will 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

You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both.

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course.


Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

This course has no hurdle requirements.

Assessment Item 1: Programming test (Individual – 1-hour online test that may be taken any time within a 24-hour period) 
Weighting of final grade: 20%
This assessment task supports CLOs 2

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

Assessment Item 3: Project Presentation and Demonstration (Group)
Weighting of final grade: 30%
This assessment task supports CLOs 1, 2, 3, 4, 5

Assessment 4: Online Quizzes (Individual - Each quiz may take between 15 to 20 minutes and may be taken any time within a 24-hour period) 
Weighting of final grade: 20%
This assessment task supports CLOs 1, 3, 4

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.