Numerical Algorithms in Engineering (ENGR30004)

Undergraduate level 3Points: 12.5Dual-Delivery (Parkville)

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Overview

Availability
Semester 2 - Dual-Delivery
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In this subject, students will advance their learning about the computational algorithms in engineering. Students will learn about data structures necessary for the construction of efficient algorithms, such as linked-lists, stacks, trees and graphs.  Students will spend a majority of the subject learning about algorithms useful in solving engineering problems, such as search, insertion, deletion, sorting, random access with arrays and indices, shortest path search algorithms (Dijkstra's), Knapsack problem and numerical optimal control (Dynamic Programming).  Students are also introduced to some optimisation algorithms.  The concepts introduced will be reinforced through a contextual engineering project with Mechatronics focus.

Intended learning outcomes

Having completed this unit, the student should be able to:

  • Synthesize computational representations of physical systems and the numerical approaches appropriate to the systems.
  • Be competent in the construction of data structures and algorithms for numerical solutions, such as searching and optimisation.
  • Be competent in the theoretical construction of computational and memory complexity of programs and in depth understanding of its consequences in the resulting application outcomes;
  • Comprehend the role of computational techniques in the practice of professional engineering, including in the design, analysis and validations of physical systems.

Generic skills

  • The ability to apply knowledge of science and engineering fundamentals.
  • The ability to undertake problem identification, formulation and solutions.
  • The capacity for creativity and innovation.
  • The ability to utilise a systems approach to complex problems and to design operational performance.
  • Proficiency in engineering design.
  • The ability to conduct an engineering project.

Last updated: 3 November 2022

Eligibility and requirements

Prerequisites

Students must meet one of the following prerequisite options:

Option 1

One of

Code Name Teaching period Credit Points
COMP10002 Foundations of Algorithms
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
COMP20005 Engineering Computation
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
ENGR20005 Numerical Methods in Engineering
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
BMEN20003 Applied Computation in Bioengineering
Semester 1 (Dual-Delivery - Parkville)
 12.5

AND

Code Name Teaching period Credit Points
MAST20029 Engineering Mathematics
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5

Option 2

One of

Code Name Teaching period Credit Points
COMP10002 Foundations of Algorithms
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
COMP20005 Engineering Computation
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
ENGR20005 Numerical Methods in Engineering
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
BMEN20003 Applied Computation in Bioengineering
Semester 1 (Dual-Delivery - Parkville)
 12.5

AND

All of

Code Name Teaching period Credit Points
MAST20009 Vector Calculus
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
MAST20030 Differential Equations
Semester 2 (Dual-Delivery - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

Inherent requirements (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

Last updated: 3 November 2022

Assessment

DescriptionTimingPercentage

Assignment 1 - Programmig exercise with written report (individual). Intended Learning Outcomes (ILOs) 1 - 4 are addressed in this assessment.

  • 30 hours (of work required)
From Week 4 to Week 620%

Assignment 2 - Programming exercise with written report (individual). ILOs 1 - 4 are addressed in this assessment.

  • 30 hours (of work required)
From Week 8 to Week 1220%

One three-hour final exam. ILOs 1 - 4 are addressed in this assessment.

  • 3 hours
Hurdle requirement: Students need to pass the exam to pass the subject.		During the examination period60%

Last updated: 3 November 2022

Dates & times

  • Semester 2
    CoordinatorSaman Halgamuge
    Mode of deliveryDual-Delivery (Parkville)
    Contact hours24 hours of lectures and 24 hours of workshops
    Total time commitment170 hours
    Teaching period26 July 2021 to 24 October 2021
    Last self-enrol date 6 August 2021
    Census date31 August 2021
    Last date to withdraw without fail24 September 2021
    Assessment period ends19 November 2021

    Semester 2 contact information

    Prof. Saman Halgamuge

    saman@unimelb.edu.au

Last updated: 3 November 2022

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • Related Handbook entries

    This subject contributes to the following:

    TypeName
    CourseBachelor of Science
    CourseMaster of Engineering
    MajorMechanical Systems
    MajorMechatronics Systems
    MajorSpatial Systems
    MajorElectrical Systems
    Specialisation (formal)Mechanical
  • 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.

    Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants

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

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 3 November 2022