Unit Guide

General Information

Unit convenor and teaching staff	Unit convenor and teaching staff Lecturer Ann Lee ann.lee@mq.edu.au Contact via 98509069 Room 142, Level 1, E6B Building Thursday 2pm-4pm
Credit points	Credit points 3
Prerequisites	Prerequisites COMP115 and MECH202 and MECH204
Corequisites	Corequisites
Co-badged status	Co-badged status
Unit description	Unit description The unit is designed to teach the students applications of mathematical equations commonly used in engineering practice, specifically in computational fluid dynamics (CFD) and finite element analysis (FEA). The students will have prior knowledge of the required mathematical concepts and will learn how to apply those in real-world engineering. It covers a broad range of topics, such as numerical differentiation and integration of differential equations and partial differential equations, central differencing schemes, Runge-Kutta methods, stiffness and multistep methods and boundary value and eigenvalue problems that have specific applications to real world engineering problems. The unit will also emphasize error analysis, optimization techniques and curve fitting methods that are applied in practical engineering fields.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

Understand how engineering problems can be solved using basic mathematical models and numerical methods
Ability to identify risk associated with floating point computations and perform error analysis
Ability to develop techniques for accurate and efficient solution of models based on linear and nonlinear equations, ordinary equations and partial differential equations
Demonstrate skill in Matlab as the tool to implement numerical analysis for practical engineering problems

General Assessment Information

Student must achieve at least a 50% aggregate grade and meet the hurdle requirement in order to obtain a passing grade (P/CR/D/HD).

Notifications

Formal notification of assessment tasks, grading rubrics and due dates will be posted on iLearn. Although all reasonable measures to ensure the information is accurate, the University reserves the right to make changes without notice. Each student is responsible for checking iLearn for changes and updates.

Assignment Tasks

Assignment Problems will be posted on iLearn at least two weeks before their submission date. Assignment solutions will be demonstrated by the tutor within a week after the submission date in the tutorial class. Submissions will not be accepted once the solution is given.

All assignments must be submitted electronically through iLearn (in pdf format). Submissions are expected to be typed set in a logical layout and sequence. Markers WILL NOT grade poorly organised or illegible scans or drafts. The expected workload includes preparation of final copies and clear diagrams.

In the event that an assessment task is submitted late, the following penalties will apply; 0 to 24 hours -25%, 24 hours to 48 hours -50%, greater than 48 hours will result in no mark being awarded.

Hurdle Requirement

The final examination is a hurdle requirement because it is the only reliable assessment of individual performance for this unit. A passing grade of 50% or more in the final examination is a condition of passing this unit. Students who make a serious attempt but fail to meet the hurdle requirement will be given one further opportunity to pass. A serious attempt is defined as achievement of a mark of 40% or greater.

Assessment Tasks

Name	Weighting	Hurdle	Due
1st Assignment	6%	No	Week 3
2nd Assignment	8%	No	Week 6
3rd Assignment	8%	No	Week 8
4th Assignment	8%	No	Week 11
Participation and Management	5%	No	Continual
Mid term test	15%	No	Week 7
Final Examination	50%	Yes	Exam Period

1st Assignment

Due: Week 3
Weighting: 6%

A five-page solutions to assignment problems based on the learning outcome is to be submitted on the specified due date. Grading will take into consideration the level of discovery and understanding demonstrated as evidenced by the approach taken to present each solution. The assignment problems will be set to develop learning outcomes during the lecture block associated with the tutorial.