Course Title: Sustainable Systems Design

Part A: Course Overview

Course Title: Sustainable Systems Design

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MIET2383

City Campus

Undergraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

 Sem 1 2014,
Sem 1 2015,
Sem 1 2016

MIET2383

City Campus

Undergraduate

172H School of Engineering

Face-to-Face

 Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022,
Sem 1 2023,
Sem 1 2024

Course Coordinator: Peter Stasinopoulos

Course Coordinator Phone: +61 3 9925 4509

Course Coordinator Email: peter.stasinopoulos@rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

None.


Course Description

This project based learning course is an introduction to systems thinking and dynamical modelling. It covers the theory and concepts of the approach, and the mathematics and tools of the modelling. Applications span the domains of society, the environment, and the economy. Coursework emphasises an appreciation of the roles of users, technology, resources, investment, and policy in the design of high leverage interventions that improve system behaviour. Skills developed are applied to projects.   


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for students who commenced their program prior to 2023:

1.4.Discernment of knowledge development and research directions within the engineering discipline. 1.5. Knowledge of contextual factors impacting the engineering discipline. 1.6. Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline. 2.2. Fluent application of engineering techniques, tools and resources. 3.2. Effective oral and written communication in professional and lay domains. 3.3. Creative, innovative and proactive demeanour. 3.4. Professional use and management of information.   This course contributes to the following program learning outcomes for students who commenced their program in 2023:  

  • 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.


On completion of this course you should be able to:

  1. Apply systems thinking to address complex problems
  2. Argue the usefulness of dynamical modelling for the analysis of specific problems
  3. Conceptualise, formulate, test, and run a simulation model of complex problems using specialist software
  4. Analyse system behaviour using mathematical techniques and software
  5. Design interventions that improve system behaviour


Overview of Learning Activities

The textbook, lectures and workshops will support the project-based learning approach in this course.
 


Overview of Learning Resources

Textbook and online learning resources.


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 tasks

Assessment Task 1: Group Assessment 1
Weighting 30%
This assessment task supports CLOs 1-5

Assessment Task 2: Group Assessment 2
Weighting 30%
This assessment task supports CLOs 1-5

Assessment Task 3: Individual Assessment
Weighting 40% 
This assessment task supports CLOs 1-5