Course Title: Systems Engineering and Control

Part A: Course Overview

Course Title: Systems Engineering and Control

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities. 

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT:  https://policies.rmit.edu.au/document/view.php?id=209

Please read the Student website for additional requirements of in-person attendance:  https://www.rmit.edu.au/covid/coming-to-campus 

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 



Course Coordinator: N/A

Course Coordinator Phone: +61 3 9925

Course Coordinator Email: @rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

This course will introduce you to the key aspects of systems engineering and control, with a focus on their application to biomedical instruments, implants and devices. You will be introduced to how an interconnection of components and devices forms a system, and how these components can be used to provide a desired response to complex and varying inputs. You will learn to build and analyse systems to ensure that they are functional, robust and safe. You will also develop high-level system thinking skills to address complex and challenging problems when intervening to improve human health.

If you are enrolled in this course as a component of your Bachelor Honours Program, your overall mark will contribute to the calculation of the weighted average mark (WAM).

See the WAM information web page for more information.


Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes

This course contributes to the following Program Learning Outcomes of the BH069 Bachelor of Engineering (Biomedical Engineering) (Honours):

  • PLO1: 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. 
  • PLO2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.    
  • PLO3: Apply engineering research principles, methods and contemporary technologies and practices to plan and execute projects taking into account ethical, environmental and global impacts.     
  • PLO4: 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. 
  • PLO5: Communicate respectfully and effectively with diverse audiences, employing a range of communication methods, practising professional and ethical conduct.
  • PLO6: Develop and demonstrate the capacity for autonomy, agility and reflection of own learning, career and professional development and conduct.  
  • PLO7: Collaborate and contribute as an effective team member in diverse, multi-level, multi-disciplinary teams, with commitment to Indigenous and globally inclusive perspectives and participation.   


Course Learning Outcomes

Upon successful completion of this course, you will be able to:

  1. Explain the basic concepts of systems engineering;
  2. Understand the principles of designing automatic control systems within specified system performance and physical constraints;
  3. Test and analyse the transient and steady-state response of both continuous- and discrete-time linear systems;
  4. Apply the data driven artificial neural networks and fuzzy computation models in real world applications;
  5. Address the challenging problems that arise during application of systems control and engineering in biomedical applications such as control of artificial organs, rehabilitation engineering, healthcare equipment and other medical systems;
  6. Find, evaluate, reference and manage information and communicate it in a professional manner.


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.

In the group activities, you will be conducting computational experiments with several levels of complexity. You will also be provide with some examples of practical exercises using the Matlab and Simulink software.


Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through Canvas and the RMIT Student website

A list of recommended learning resources will be provided by your lecturer, including books, journal articles and web resources. You will also be expected to seek further resources relevant to the focus of your own learning:

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 RMIT Student website.


Overview of Assessment

This course has no hurdle requirements.

You will be assessed on how well you meet the course learning outcomes and on your development against the program learning outcomes.

Assessment tasks are directly aligned with each Course Learning Outcome.  They are as follows:

Assessment 1: Written task assessment
Weighting: 30%
This assessment task supports CLOs 1 & 2

Assessment 2: Laboratory assessment
Weighting: 30%
This assessment task supports CLOs 1-4.

Assessment 3: Take Home Individual assignment
Weighting: 20%
This assessment task supports CLOs 1-4.

Assessment 4: Team project
Weighting: 20%
This assessment task supports CLOs 1-5.

 

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.