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Numerical Programming for Engineers (ENGR30003)

Undergraduate level 3Points: 12.5On Campus (Parkville)

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Year of offer2018
Subject levelUndergraduate Level 3
Subject codeENGR30003
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

The aim of this subject is to equip students with computational tools for solving common physical engineering problems. The focus of the lectures is on archetypical physical engineering problems and their solutions via the effective implementation of classical algorithms.

Indicative content: asymptotic notation, abstract data structures, sorting and searching, numerical integration of ordinary differential equations and two-point boundary value problems, numerical stability and convergence.

Intended learning outcomes

Intended Learning Outcomes (ILOs)

At completion of this subject students should be able to:

1 - estimate and measure the numerical complexity of programs;
2 - numerically solve a system of ordinary differential equation representing physical, nonlinear, multi-domain systems;
3 - numerically solve a two-point boundary value problem;
4 - numerically solve an optimisation problem.

Generic skills

  1. Application of knowledge of basic science and engineering fundamentals.
  2. Effective communication about computational efficiency.
  3. Capacity to reason and solve problems.
  4. Ability to undertake problem identification, formulation and solution.
  5. Capacity for creativity and innovation.
  6. Profound respect for truth and intellectual integrity, and for the ethics of scholarship.

Eligibility and requirements


COMP20005 Engineering Computation


ENGR20004 Engineering Mechanics


MAST20029 Engineering Mathematics


MAST20009 Vector Calculus and MAST20030 Differential Equations



Non-allowed subjects


Core participation requirements

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home



  • One written two hour closed book end of semester examination (40%). ILOs 1 to 4 are addressed in the exam.

The examination is a hurdle and must be passed to pass the subject.

  • Two assignments (maximum of 50 pages for both assignments and total time commitment approximately 72 hours), due in weeks 5 and 11 (60%)
    Assignment 1 due week 5 (25%)
    Assignment 2 due week 11 (35%)

ILOs 1 to 4 are addressed in the assignments.

Dates & times

  • Semester 2
    Principal coordinatorRichard Sandberg
    Mode of deliveryOn Campus — Parkville
    Contact hours36 hours, comprising 24 x 1 hr lectures and 12 x 1 hr workshops.
    Total time commitment170 hours
    Teaching period23 July 2018 to 21 October 2018
    Last self-enrol date 3 August 2018
    Census date31 August 2018
    Last date to withdraw without fail21 September 2018
    Assessment period ends16 November 2018

    Semester 2 contact information

Time commitment details

Estimated 170 hours

Further information

  • Texts

    Prescribed texts

    Numerical Recipes in C. (Press et al).

  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

    Additional information for this subject

    Subject coordinator approval required

Last updated: 23 January 2019