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ENG3104 Engineering Simulations and Computations

Semester 2, 2019 On-campus Springfield
Short Description: Engineering Simulations & Comp
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : Faculty of Health, Engineering and Sciences
Student contribution band : Band 2
ASCED code : 039999 - EnginTech not classified
Grading basis : Graded


Examiner: Nam Mai-Duy


Pre-requisite: (ENM2600 or MAT2100 or MAT2500) or Students must be enrolled in one of the following Programs: GCEN or GDET or METC or MEPR or GCNS or GDNS or MENS

Other requisites

This course is substantially similar to ENG3103 and ENG4104. Students cannot enrol in ENG3104 if they have successfully completed ENG3103 or ENG4104.


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. The student will be required to develop skills in programming using a scripting language. The student will undertake a range of numerical computation exercises using a scripting language. 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.


The course objectives define the student learning outcomes for a course. On completion of this course, students should 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


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

ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (

Please contact us for alternative purchase options from USQ Bookshop. (

Hahn, BH & Valentine, DT 2017, Essential MATLAB for Engineers and Scientists, 6th edn, Academic Press, Oxford.
MATLAB & Simulink software Student Edition, minimum version R2016b. Students must ensure that they have MATLAB, Simulink and the Statistics and Machine Learning Toolbox (which was called the Statistics Toolbox up to R2014b).

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
Austin, M & Chancogne, D 1999, Introduction to engineering programming: in C, Matlab and Java, Wiley, New York.
James, G et al 2015, Modern engineering mathematics, 5th edn, Prentice Hall, Harlow.
Kiusalaas, J 2015, Numerical methods in engineering with MATLAB, 3rd edn, Cambridge University Press, Cambridge.
(eBook available.)
Kreyszig, E 2011, Advanced engineering mathematics, 10th edn, Wiley, Hoboken, NJ.
Yang, W-Y, Cao, W & Chung, T-S 2005, Applied numerical methods using MATLAB, J. Wiley, Hoboken, NJ.
(eBook available.)
Books with “Programming” in the title focus on the MATLAB language and environment, while books with “Numerical Methods” in the title tend to have cursory introductions to the MATLAB language and environment and instead focus on a wider range of numerical methods.

Student workload expectations

Activity Hours
Assessments 68.00
Lectures 22.00
Private Study 39.00
Tutorials 26.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
SPIDER Assignment 100 10 16 Jul 2019 1,2,3 (see note 1)
Assignment 1 200 20 29 Aug 2019 1,2,3
Assignment 2 300 30 23 Sep 2019 1,2,3,4,5,6
Assignment 3 300 30 14 Oct 2019 1,2,3,4,5,6,7
Assignment 4 100 10 04 Nov 2019

  1. There are a number of assessments throughout the semester to complete the SPIDER Assignment. The examiner will announce the due date for each assessment in the SPIDER Assignment on the Study Desk.

Important assessment information

  1. Attendance requirements:
    It is the students' responsibility to attend and participate appropriately in all activities (such as lectures, tutorials, laboratories and practical work) scheduled for them, and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To complete each of the assessment items satisfactorily, students must obtain at least 50% of the marks available (or at least a grade of C-) for each assessment item.

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure (point 4.2.4)

  4. Requirements for student to be awarded a passing grade in the course:
    To be assured of receiving a passing grade in a course a student must obtain at least 50% of the total weighted marks for the course.

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the weighted aggregate of the marks (or grades) obtained for each of the summative assessment items in the course.

  6. Examination information:
    Not Applicable

  7. Examination period when Deferred/Supplementary examinations will be held:
    Not Applicable

  8. University Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at

Assessment notes

  1. Students must familiarise themselves with the USQ Assessment Procedures (

  2. Referencing in Assignments must comply with the Harvard (AGPS) referencing system. This system should be used by students to format details of the information sources they have cited in their work. The Harvard (APGS) style to be used is defined by the USQ library’s referencing guide. These policies can be found at

Other requirements

  1. Students will require access to a computer and internet access to UConnect for this course.