Course Title: Advanced Vehicle Dynamics

Part A: Course Overview

Course Title: Advanced Vehicle Dynamics

Credit Points: 12.00

Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2016


City Campus


172H School of Engineering


Sem 1 2017

Course Coordinator: Professor Reza N. Jazar

Course Coordinator Phone: +61 3 9925 6080

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

MIET1076 Automatic Control or equivalent

Course Description

When engineers design vehicles, they are likely to encounter competing demands relating to dynamics and stability. This course will teach you how engineers analyse vehicle dynamics in performance, handling and ride modes. Mastery of these techniques will enable you to better predict dynamic behaviour of a vehicle, and thus reconcile competing demands inherent in the design of vehicles.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following program learning outcomes:

1. Needs, Context and Systems

  • Describe, investigate and analyse complex engineering systems and associated issues (using systems thinking and modelling techniques)

 2. Problem Solving and Design

  • Develop creative and innovative solutions to engineering problems

 3. Analysis

  • Comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities
  • Apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences.

 4. Professional Practice

  • Understand the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline

 5. Research

  • Develop creative and innovative solutions to engineering challenges
  • Assess, acquire and apply the competencies and resources appropriate to engineering activities

Course Learning Outcomes (CLOs):

Upon successful completion of the course, you should be able to:

1)  Develop physical and mathematical models to predict the dynamic response of vehicles;
2)  Apply vehicle design performance criteria and how to use the criteria to evaluate vehicle dynamic response;
3)  Modify a model of a vehicle to enable it to meet design performance criteria;
4)  Develop and implement computer models of vehicle dynamics behaviour and critically analyse results from numerical simulations.
5)  Extend the mathematical analysis of the passenger car to heavy vehicles.
6)  Characterise changes in vehicle performance and vehicle/roadway interaction. 
7)  Construct specifications for vehicle control systems.


Overview of Learning Activities

This course will provide you the opportunity to familiarise with and develop various engineering problems related to static and dynamic response of vehicles. You are expected to attend lectures, tutorials and carrying out associate reading.
Lectures and readings will be used to extend theoretical knowledge of vehicle dynamics. Tutorials will help you work on assignments, develop computer modelling, and problem-solving exercises will facilitate a better understanding of vehicle dynamics. 

Overview of Learning Resources

Prescribed textbook will be the main learning resources. The main textbook is available both in hardcopy and digitally for download from Library. Students are expected to bring their textbooks to every session.

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: Weekly Exercises
Weighting 20%
This assessment task supports CLOs 1-7

Assessment Task 2: Major Project
Weighting 40%
This assessment task supports CLOs 1, 2, 5

Assessment Task 3: Final exam
Weighting 40%
This assessment task supports CLO 1, 4, 6