Course Title: System Dynamic Modelling

Part A: Course Overview

Course Title: System Dynamic Modelling

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2127

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2013,
Sem 2 2015,
Sem 2 2016

Course Coordinator: Lynne McArthur

Course Coordinator Phone: +61 3 99253122

Course Coordinator Email: Lynne.McArthur@rmit.edu.au

Course Coordinator Location: Room 8.9.39


Pre-requisite Courses and Assumed Knowledge and Capabilities

You will be expected to have passed VCE Maths Methods or Specialist Maths


Course Description

 

This course is concerned with the dynamic behaviour of systems that occur in real life. By learning to explore and identify the driving components of a system, strategies for improving the system behaviour can be identified. Through examples and project work, you will be exposed to a diverse range of applications of system dynamics, in particular and mathematics, in general.  You will expand your problem solving skills and work collaboratively with your peers to produce solutions in assignment work. 


Objectives/Learning Outcomes/Capability Development

 

This course contributes to the following Program Learning Outcomes for  BP083 (Bachelor of Science (Mathematics)):


Knowledge and technical competence
 

  • the ability to use appropriate and relevant mathematical knowledge, techniques and computational skills 

Problem solving

  • synthesise and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
  • balance the complexity / accuracy of the mathematical / statistical models used and the timeliness of the delivery of the solution.

 


 

On completion of this course you should be able to:

  1. Conceptually map the complex, diverse and evolving social, political and cultural dimensions of practising as a mathematics and statistics professional in organisational and community settings.
  2. Contribute to professional work settings through effective participation in teams and organisation of project tasks.
  3. Utilise the appropriate mathematical techniques and software to analyse the dynamic behaviour of systems.
  4. Communicate your results to various stakeholder groups.
  5. Provide a range of examples related to System Dynamic Modelling which demonstrate the broad applicability of mathematics in solving contemporary, real world problems.


Overview of Learning Activities

 

You will:

  • Attend lectures where the underlying theory will be presented.
  • Prepare for class by accessing and reading notes online prior to class
  • Have ample opportunity for laboratory work and experience of modelling systems
  • Experience project work in groups.
  • Learn to use system dynamics tools to explore the dynamic behaviour of a diverse range of complex systems.

 

There are 4 contact hours per week:  a one-hour lecture to introduce weekly content and a 3 hour tutorial to further explore the topic in detail (including two hours of lab work).

You will be expected to spend at least 2 hours per week outside class times on this course, completing assignment tasks and pre-reading for the lectures.


Overview of Learning Resources

All materials are available online including all lecture notes, labs with solutions and assignments.(3)


Overview of Assessment

 

Assessment Tasks:

 

Early Assessment Tasks:  Laboratory Work 1-3

Weighting 3 x 3% = 9%

This assessment supports CLOs 1,2,3

 

Assessment Task 2:   Laboratory Work  4-10

Weighting 7 x 3% = 21%

This assessment supports CLOs 1-5

 

Assessment Task 3: Assignments x 3(Group/Individual)

 10%, 10% and 20% respectively = 40%

This assessment supports CLOs 1,2,3,4 & 5

 

Assessment Task 4: Exam

Weighting 30%

This assessment supports CLOs 1,2,3,4 & 5