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, Sem 2 2025 |
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
Recommended Prior Study
You should have satisfactorily completed or received credit for the following 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
If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer.
Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning.
Please follow the link for further information on how to apply for credit for prior study or experience.
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 a coherent and advanced understanding of scientific theories, principles and concepts and engineering fundamentals within the engineering discipline
PLO 2. Demonstrate a coherent and advanced body of knowledge within the engineering discipline
PLO 3. Demonstrate advanced knowledge of the scope, principles, norms, accountabilities, bounds, design practice and research trends of contemporary engineering practice including sustainable practice
PLO 4. Apply knowledge of established engineering methods to the solution of complex problems in the engineering discipline
PLO 5. Utilise mathematics, software, tools and techniques, referencing appropriate engineering standards and codes of practice, in the design of complex engineering systems
PLO 10. Critically analyse, evaluate, and transform information, while exercising professional judgement, in an engineering context.
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:
CLO1. Explain the development, applications and current research directions in sensing, perception and actuation technologies within industrial mechatronic systems.
CLO2. Apply theoretical and practical knowledge to design automation solutions that integrate intelligent sensing and actuation in new and emerging manufacturing contexts.
CLO3. Design intelligent mechatronic systems using systematic engineering processes, considering performance, sustainability and cost-effectiveness.
CLO4. Evaluate mechanical design trade-offs and sensor-actuator interactions in the development of smart systems.
CLO5. Analyse how industrial case studies demonstrate the application of intelligent systems theory to real-world automation challenges.
CLO6. Communicate technical ideas and design outcomes effectively in a professional engineering context through oral, written and visual formats.
CLO7. Reflect critically on individual and team contributions to collaborative engineering tasks.
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
Assessment 1: Programming Test (Individual), 10%, CLO2 and CLO7
Assessment 2: Project Report (Group), 40%, CLO1, CLO2, CLO3, CLO4, CLO5 and CLO7
Assessment 3: Project Presentation and Demo (Group), 30%, CLO1, CLO2, CLO3, CLO4, CLO5 and CLO6
Assessment 4: Online Quizzes (Individual), 20%, CLO1, CLO3 and CLO4
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.