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Numerical Algorithms in Engineering (ENGR30004)
Undergraduate level 3Points: 12.5On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Semester 2
Prof. Saman Halgamuge
Overview
Availability | Semester 1 Semester 2 |
---|---|
Fees | Look up fees |
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: 31 January 2024
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 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP20005 | Intro. to Numerical Computation in C |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ENGR20005 | Numerical Methods in Engineering |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
BMEN20003 | Applied Computation in Bioengineering | Semester 1 (On Campus - Parkville) |
12.5 |
AND
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20029 | Engineering Mathematics |
Summer Term (Dual-Delivery - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Option 2
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10002 | Foundations of Algorithms |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP20005 | Intro. to Numerical Computation in C |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ENGR20005 | Numerical Methods in Engineering |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
BMEN20003 | Applied Computation in Bioengineering | Semester 1 (On Campus - Parkville) |
12.5 |
AND
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20030 | Differential Equations | Semester 2 (On Campus - Parkville) |
12.5 |
AND
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20009 | Vector Calculus |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST20032 | Vector Calculus: Advanced | Semester 1 (On Campus - 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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Assignment 1 - Programmig exercise with written report (individual). Intended Learning Outcomes (ILOs) 1 - 4 are addressed in this assessment.
| From Week 4 to Week 6 | 20% |
Assignment 2 - Programming exercise with written report (individual). ILOs 1 - 4 are addressed in this assessment.
| From Week 8 to Week 12 | 20% |
One three-hour final exam. ILOs 1 - 4 are addressed in this assessment.
| During the examination period | 60% |
Last updated: 31 January 2024
Dates & times
- Semester 1
Principal coordinator Saman Halgamuge Coordinator Aman Kidanemariam Mode of delivery On Campus (Parkville) Contact hours 24 hours of lectures and 24 hours of workshops Total time commitment 170 hours Teaching period 27 February 2023 to 28 May 2023 Last self-enrol date 10 March 2023 Census date 31 March 2023 Last date to withdraw without fail 5 May 2023 Assessment period ends 23 June 2023 Semester 1 contact information
- Semester 2
Coordinator Saman Halgamuge Mode of delivery On Campus (Parkville) Contact hours 24 hours of lectures and 24 hours of workshops Total time commitment 170 hours Teaching period 24 July 2023 to 22 October 2023 Last self-enrol date 4 August 2023 Census date 31 August 2023 Last date to withdraw without fail 22 September 2023 Assessment period ends 17 November 2023 Semester 2 contact information
Prof. Saman Halgamuge
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
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:
Type Name Course Bachelor of Science Course Master of Engineering Major Spatial Systems Major Electrical Engineering Systems Major Mechanical Engineering Systems Major Mechatronics Engineering 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.
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: 31 January 2024