units

MAE2403

Faculty of Engineering

18 September 2017 22 November 2024

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This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

Monash University

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Engineering

Organisational Unit

Department of Mechanical and Aerospace Engineering

Coordinator(s)

Professor Murray Rudman

Offered

Clayton

  • Second semester 2016 (Day)

Synopsis

This unit introduces numerical analysis techniques for interpolation, root finding, integration, the solution of ordinary differential equations, and the analysis of data. The role computers play in the solution of modern aerospace engineering problems is emphasized through exposure to finite difference, finite volume and finite element techniques for partial differential equations, and the implementation of these techniques in commercial fluid dynamics and structural mechanics packages.

Outcomes

  1. understanding of the role of computers and numerical analysis in modern engineering practice
  2. appreciation of stability, efficiency and accuracy constraints on available methods for numerical approximation of engineering solutions
  3. understanding of numerical methods for interpolation, root-finding, integration, solution of ordinary and partial differential equations, and analysis of data.
  4. knowledge and skills to generate accurate solutions to engineering problems using numerical computing
  5. solve engineering problems numerically
  6. determine the appropriate technique to solve a problem through consideration of the accuracy, efficiency and stability of available methods
  7. improve oral and written communication skills
  8. appreciation of the role of computers in engineering industry
  9. confidence in identifying engineering problems and formulating original solutions

Assessment

Laboratory and Assignments (30%)
Examination (70%)
Students are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Recommended reading:
Anderson, J.D., Jr., "Computational Fluid Dynamics: The Basics with Applications", McGraw-Hill, 1995.
Chapra, S. C., "Applied Numerical Methods with MATLAB for Engineers and Scientists", McGraw-Hill, 2005.
Chapra, S. C., Canale, R. P., "Numerical Methods for Engineers", McGraw-Hill, 2002.
Lindfield, G., Penny, J., "Numerical Methods Using MATLAB", 2nd Edition, Prentice Hall, 2000.
Press, W. H., Teukolsky, S. A., Vetterling, W. T., Flannery, B. P., "Numerical Recipes in [C / C++ / Pascal / Fortran 77 / Fortran 90]", Cambridge University Press. (C & Fortran versions available online at http://www.nr.com/nronline_switcher.html ).
Tannehill, J. C., Anderson, D. A., Pletcher, R. H., "Computational Fluid Mechanics and Heat Transfer, Second Edition", Taylor & Francis, 1997.

Workload requirements

5 hours per week lecture and laboratory contact hours, 7 hours per week self-study and assignment work

See also Unit timetable information

Chief examiner(s)

Professor Chris Davies

Prerequisites

ENG1060, ENG1091 or MTH1030 or MTH1035 or ENG1005

Prohibitions

MEC3456