• Offered by Research School of Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Engineering
  • Academic career Undergraduate
  • Course convener
    • Dr Guodong Shi
  • Mode of delivery In Person
  • Co-taught Course ENGN6331
  • Offered in First Semester 2019
    See Future Offerings
System dynamics is the study of the response of engineering systems with changing time. The concepts learned in this unit can be used in a number of engineering disciplines including mechatronics, and in particular robotics, mechanical, electrical, aerospace and marine engineering, manufacturing and biomedical engineering. The emphasis of this course will be on the analytical and numerical tools of multi-particle systems, rigid body dynamics, and electromechanical systems. The topics covered include direct (Newton-Euler) and indirect (Euler-Lagrange) methods for modelling and analysing kinematics and dynamics problems from various examples using differential equations, and numerical approximation of linear or nonlinear dynamical equations.
 

Learning Outcomes

On successful completion of this course, students should have the skills and knowledge to:

  1. Demonstrate systematic understanding of system dynamics problems from various engineering domains.
  2. Solve multi-particle and rigid body dynamics problems using the Newton-Euler approach.
  3. Derive the equations of motion of mechanical, electrical and simple electromechanical systems using the Euler-Lagrange approach.
  4. Apply dynamic response analysis of mechanical or electrical oscillators to perform basic system identification.
  5. Analyse the properties of linear or nonlinear dynamic equations through computer simulation and make design recommendations based on dynamics simulation data.

Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencie

Indicative Assessment

  1. Tutorials (40%); 
  2. Hardware Labs (10%); 
  3. Computer Labs (5%) 
  4. Final exam (45%)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

A standard workload of approximately 10 hours/week including the following formal contact hours: 30-36 one hour lectures, 6 x 2 hour tutorials, 1 x 3 hour hardware lab, 1 x 3 hour computer lab

Requisite and Incompatibility

To enrol in this course you must have completed MATH1013 or MATH1014. This course is incompatible with ENGN6331.

Prescribed Texts

none

Assumed Knowledge

Calculus - Integration and techniques of integration. Functions of several variables - visualisation, continuity, partial derivatives and directional derivatives.

Linear Algebra - theory and application of Euclidean vector spaces. Vector spaces: linear independence, bases and dimension; eigenvalues and eigenvectors; orthogonality and least squares."

Majors

Minors

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
3077 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 In Person

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