Offering Information
Please select an offering above to get offering specific information
Course Team
Khalid Saleh
Nam Mai-Duy
Summary
Of particular importance to the engineer is the ability to develop an appropriate model to describe the behaviour of an engineering system, and then to analyse that behaviour and apply engineering judgement in the interpretation of the results of that model. Often this model will be of a numerical nature … For more content click the Read More button below.
SynopsisSkills in programming will be taught using a scripting language and assessed via a range of numerical computation exercises. The student will develop skills in problem solving within an engineering context. A number of real world problems and case studies provide the basis for meeting this objective. Advanced numerical techniques and programming skills for the handling of non-linearity, where it is impossible to solve problems analytically through the usage of algebra and calculus, will be learnt.
Requisites
Course Pre-requisites
Other Requisites or Enrolment Rules
Other
Offerings
Trimester 2
OL-TWMBA-TR2
ON-SPRNG-TR2
ON-TWMBA-TR2
Learning Outcomes
Upon completion of this course, graduates will be able to:
1.
develop an appropriate numerical systems model of an engineering problem;
2.
develop a logical and well-structured computer program to assist in the analysis of an engineering problem;
3.
discuss and use the concepts of debugging a computer program;
4.
analyse and evaluate the behaviour of an engineering system using a general purpose numerical software package;
5.
use a range of numerical computing techniques to develop an appropriate model from available data;.
6.
demonstrate a knowledge of and make appropriate use of a range of methods in the design and analysis of engineering experiments;
7.
apply numerical techniques (including Simulink) to analyse a system represented by a differential equation
Topics
1. Engineering numerical systems modelling
2. Solving case studies in engineering, drawn from areas such as mechanics, thermodynamics, structures, geomechanics, hydraulics and electromagnetics, that involve solving equations by iteration; solving sets of linear algebraic equations; regression and interpolation; data analysis; and numerical calculus, and differential equations. MATLAB will be the … For more content click the Read More button below.
Assessments
Assessment due dates (as listed in Week Due) are indicative until finalised by the end of Week 1 for each Study Period (Offering). After Week 1, Assessment due dates may change with the approval of the Dean (Academic) or Delegate in limited circumstances. All Assessment due date changes approved after Week 1 will be communicated to students accordingly via Handbook and StudyDesk.