Course Title: System Dynamic Modelling
Part A: Course Overview
Course Title: System Dynamic Modelling
Credit Points: 12.00
Terms
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 2014, Sem 2 2015, Sem 2 2016 |
MATH2127 |
City Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 2 2017 |
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:
- 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.
- Contribute to professional work settings through effective participation in teams and organisation of project tasks.
- Utilise the appropriate mathematical techniques and software to analyse the dynamic behaviour of systems.
- Communicate your results to various stakeholder groups.
- 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