| Semester 2, 2023 Springfield On-campus | |
| Units : | 1 |
| School or Department : | School of Engineering |
| Grading basis : | Graded |
| Course fee schedule : | /current-students/administration/fees/fee-schedules |
Staffing
Course Coordinator:
Requisites
Pre-requisite: (ENM2600 or MAT2100 or MAT2500) or Students must be enrolled in one of the following Programs: GDET or METC or GDNS or MENS
Overview
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 and the engineer requires the ability to solve such numerical problems. This course uses the mathematical tools from ENM2600 and earlier mathematics courses to provide options for analysis that are not available from pure mathematics. This course provides foundational tools for other courses (such as ELE2103, ENV3104 and MEC4108), while also equipping students to undertake a wider array of analyses in their final-year research project.
Skills 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.
Course learning outcomes
The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:
- develop an appropriate numerical systems model of an engineering problem;
- develop a logical and well-structured computer program to assist in the analysis of an engineering problem;
- discuss and use the concepts of debugging a computer program;
- analyse and evaluate the behaviour of an engineering system using a general purpose numerical software package;
- use a range of numerical computing techniques to develop an appropriate model from available data;.
- demonstrate a knowledge of and make appropriate use of a range of methods in the design and analysis of engineering experiments;
- apply numerical techniques (including Simulink) to analyse a system represented by a differential equation
Topics
| Description | Weighting(%) | |
|---|---|---|
| 1. | Engineering numerical systems modelling | 30.00 |
| 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 main tool employed in the solution of the case studies and emphasis will be given to problems that enhance the programming skills of students and that require the application of array and matrix operations; files, functions and data structures; and plotting. | 70.00 |
Text and materials required to be purchased or accessed
(Check for availability as eBook via Library Search on the UniSQ library website.)
Student workload expectations
To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.
Assessment details
| Description | Group Assessment |
Weighting (%) |
|---|---|---|
| Critique (written) | No | 10 |
| Problem Solving | No | 20 |
| Problem Solving | No | 30 |
| Problem Solving | No | 30 |
| Problem Solving | No | 10 |