Students

MECH3004 – Applied Numerical Engineering

2021 – Session 2, Weekday attendance, North Ryde

Session 2 Learning and Teaching Update

The decision has been made to conduct study online for the remainder of Session 2 for all units WITHOUT mandatory on-campus learning activities. Exams for Session 2 will also be online where possible to do so.

This is due to the extension of the lockdown orders and to provide certainty around arrangements for the remainder of Session 2. We hope to return to campus beyond Session 2 as soon as it is safe and appropriate to do so.

Some classes/teaching activities cannot be moved online and must be taught on campus. You should already know if you are in one of these classes/teaching activities and your unit convenor will provide you with more information via iLearn. If you want to confirm, see the list of units with mandatory on-campus classes/teaching activities.

Visit the MQ COVID-19 information page for more detail.

General Information

Download as PDF
Unit convenor and teaching staff Unit convenor and teaching staff Lecturer
Fatemeh Salehi
Contact via email
Room 121, 44 Waterloo Rd
By email
Unit convener
Ann Lee
Contact via email
Room 132, 44 Waterloo Rd
By email
Credit points Credit points
10
Prerequisites Prerequisites
(MECH202 or MECH2002) and (MECH204 or MECH2004) and (COMP115 or COMP1000)
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit examines the applications of mathematical equations commonly used in engineering practices, such as computational fluid dynamics (CFD) and finite element analysis (FEA). This unit covers a broad range of topics, such as numerical differentiation and integration of differential equations, and partial differential equations. At the end of the unit, students are expected to be proficient with the procedures and in-depth concepts required to solve problems using CFD.

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:

  • ULO1: Apply advanced mathematical and numerical theories in the discipline of numerical simulations to solve real-world engineering problems.
  • ULO2: Analyse and produce innovative design solutions with a clear demonstration of critical thinking abilities using computational techniques
  • ULO3: Demonstrate competencies in the used of CFD tools fundamental to the discipline of computational modelling
  • ULO4: Develop effective communication skills through written reports

General Assessment Information

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. 

Special Consideration

If you experience events or conditions that adversely affect your academic performance and you require an extension to complete the assessment tasks, you should apply for "Special Consideration". More information can be found here

Grading and passing requirement for unit

In order to pass this unit, a student must obtain a mark of 50 or more for the unit. For further details about grading, please refer below in the policies and procedures section.

Supplementary Final Exam

If you receive special consideration for the final exam, a supplementary exam will be scheduled by the faculty during a supplementary exam period, typically about 3 to 4 weeks after the normal exam period. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. Approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.

Midterm and Final Exams

Due to the COVID-19, both midterm and final exams will be likely online. More information if there will be open- or closed-book exams will be provided on iLearn. 

Assessment Tasks

Name Weighting Hurdle Due
Mid-session Exam 15% No Week 7
Final exam 40% No
Assignment I 20% No Week 7
Assignment II 25% No Week 13

Mid-session Exam

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Week 7
Weighting: 15%

 

This is an open-book online exam.

 


On successful completion you will be able to:
  • Apply advanced mathematical and numerical theories in the discipline of numerical simulations to solve real-world engineering problems.
  • Analyse and produce innovative design solutions with a clear demonstration of critical thinking abilities using computational techniques
  • Demonstrate competencies in the used of CFD tools fundamental to the discipline of computational modelling

Final exam

Assessment Type 1: Examination
Indicative Time on Task 2: 30 hours
Due:
Weighting: 40%


On successful completion you will be able to:
  • Apply advanced mathematical and numerical theories in the discipline of numerical simulations to solve real-world engineering problems.
  • Analyse and produce innovative design solutions with a clear demonstration of critical thinking abilities using computational techniques
  • Demonstrate competencies in the used of CFD tools fundamental to the discipline of computational modelling

Assignment I

Assessment Type 1: Project
Indicative Time on Task 2: 15 hours
Due: Week 7
Weighting: 20%

 

The assignment requires the student to perform numerical simulations for an engineering problem using Matlab, analyse the results and submit a technical report on the results.

 


On successful completion you will be able to:
  • Apply advanced mathematical and numerical theories in the discipline of numerical simulations to solve real-world engineering problems.
  • Analyse and produce innovative design solutions with a clear demonstration of critical thinking abilities using computational techniques
  • Develop effective communication skills through written reports

Assignment II

Assessment Type 1: Project
Indicative Time on Task 2: 25 hours
Due: Week 13
Weighting: 25%

 

The assignment requires the student to perform CFD simulations for a complex fluid mechanics engineering problem with relevant software, analyse the results and submit a technical report on the results.

 


On successful completion you will be able to:
  • Apply advanced mathematical and numerical theories in the discipline of numerical simulations to solve real-world engineering problems.
  • Analyse and produce innovative design solutions with a clear demonstration of critical thinking abilities using computational techniques
  • Demonstrate competencies in the used of CFD tools fundamental to the discipline of computational modelling
  • Develop effective communication skills through written reports

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

There is no single core text for this course. However, the following texts are recommended:

1- "Applied Numerical Methods for Engineers and Scientists" by Singiresu S. Rao

2- "Computational Fluid Dynamics- A Practical Approach by Jiyuan Tu, Guan Heng Yeoh and Chaoqun Liu

3- "Computational Methods for Fluid Dynamics" by Joel H. Ferziger, Milovan Perić, Robert L. Street 

Unit Schedule

Lectures : Week 1-13 

Tutorials : Week 2-13

Midterm exam : Week 7 during lecture hour

For full unit schedule please refer to iLearn. 

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.


Unit information based on version 2021.02 of the Handbook