ENGINEERING RESEARCH METHODOLOGY AND APPLICATION

ELE5ERM

2021

Credit points: 15

Subject outline

Conducting research within engineering typically involves steps of modelling data, analysing data, designing solutions to problems and professional presentation of the data in the form of technical reports or papers. This subject will teach you fundamental skills across these areas which will include the following topics: (1) basis of research methodology including literature survey, problem formulation, and solutions and validations, (2) technical report writing, structuring documents, referencing, typesetting, producing professional figures, and (3) Python programming and modelling data sets. You will develop competency in using a range of software tools taught in this subject.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorRichard Hall

Available to Study Abroad/Exchange StudentsNo

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsELE5PRB

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Appraise and synthesise information to review, assess and suggest improvements to projects, plans and processes with appropriate creativity and innovation, all of which are consistent with professional standards.
02. Create a structured and professional technical engineering report using industry standard typesetting tools.
03. Construct and implement correct solutions to intermediate level programming problems using Python.
04. Use Python and related software tools to evaluate, model and analyse sets of data.

Subject options

Select to view your study options…

Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorRichard Hall

Class requirements

Laboratory ClassWeek: 10 - 22
One 3.00 h laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

LectureWeek: 10 - 22
One 1.00 h lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Five laboratory design tasks (2000 Words equivalent total)Design and problem solving tasks require students to use Python, MATLAH and LaTeX to solve prescribed analysis and typesetting problems.

N/AN/AN/ANo25 SILO1, SILO2, SILO3

One 1-hour examination (1000 words equivalent)Exam covers a range of programming and typesetting problem solving tasks.

N/AN/AN/ANo30 SILO1, SILO2

Three written assignments (2000 words total)Assignments are of equal weight and each covers a major topic related to the software being used.

N/AN/AN/ANo45 SILO1, SILO3, SILO4

Melbourne (Bundoora), 2021, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorRichard Hall

Class requirements

Laboratory ClassWeek: 30 - 42
One 3.00 h laboratory class per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

LectureWeek: 30 - 42
One 1.00 h lecture per week on weekdays during the day from week 30 to week 42 and delivered via blended.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Five laboratory design tasks (2000 Words equivalent total)Design and problem solving tasks require students to use Python, MATLAH and LaTeX to solve prescribed analysis and typesetting problems.

N/AN/AN/ANo25 SILO1, SILO2, SILO3

One 1-hour examination (1000 words equivalent)Exam covers a range of programming and typesetting problem solving tasks.

N/AN/AN/ANo30 SILO1, SILO2

Three written assignments (2000 words total)Assignments are of equal weight and each covers a major topic related to the software being used.

N/AN/AN/ANo45 SILO1, SILO3, SILO4

Melbourne (Bundoora), 2021, LTU Term 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorRichard Hall

Class requirements

Laboratory ClassWeek: 2 - 7
Two 2.00 h laboratory class per week on weekdays during the day from week 2 to week 7 and delivered via online.

LectureWeek: 2 - 7
One 2.00 h lecture per week on weekdays during the day from week 2 to week 7 and delivered via online.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Five laboratory design tasks (2000 Words equivalent total)Design and problem solving tasks require students to use Python, MATLAH and LaTeX to solve prescribed analysis and typesetting problems.

N/AN/AN/ANo25 SILO1, SILO2, SILO3

One 1-hour examination (1000 words equivalent)Exam covers a range of programming and typesetting problem solving tasks.

N/AN/AN/ANo30 SILO1, SILO2

Three written assignments (2000 words total)Assignments are of equal weight and each covers a major topic related to the software being used.

N/AN/AN/ANo45 SILO1, SILO3, SILO4