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Numerical Algorithms in Engineering (ENGR30004)
Undergraduate level 3Points: 12.5Dual-Delivery (Parkville)
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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 - Dual-Delivery Semester 2 - Dual-Delivery |
---|---|
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 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
COMP20005 | Intro. to Numerical Computation in C |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ENGR20005 | Numerical Methods in Engineering |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (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 |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
Option 2
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10002 | Foundations of Algorithms |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
COMP20005 | Intro. to Numerical Computation in C |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ENGR20005 | Numerical Methods in Engineering |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (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 2 (Dual-Delivery - Parkville)
Semester 1 (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: 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 Mode of delivery Dual-Delivery (Parkville) Contact hours Total time commitment 170 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 Semester 1 contact information
- Semester 2
Coordinator Saman Halgamuge Mode of delivery Dual-Delivery (Parkville) Contact hours 24 hours of lectures and 24 hours of workshops Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 Semester 2 contact information
Prof. Saman Halgamuge
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 Master of Engineering Course Bachelor of Science Major Electrical Engineering Systems Major Mechatronics Engineering Systems Major Mechanical Engineering Systems Specialisation (formal) Mechanical Major Spatial Systems - 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