ele5erm engineering research methodology and application
ENGINEERING RESEARCH METHODOLOGY AND APPLICATION
ELE5ERM
2020
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 ElectiveYes
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
Subject options
Select to view your study options…
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRichard Hall
Class requirements
Laboratory ClassWeek: 10 - 22
One 3.00 hours 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 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
Assessment element | Category | Contribution | Hurdle | % | 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/A | N/A | No | 25 | SILO1, SILO2, SILO3 |
One 1-hour examination (1000 words equivalent) Exam covers a range of programming and typesetting problem solving tasks. | N/A | N/A | No | 30 | 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/A | N/A | No | 45 | SILO1, SILO3, SILO4 |
Melbourne (Bundoora), 2020, Semester 2, Blended
Overview
Online enrolmentNo
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRichard Hall
Class requirements
Laboratory ClassWeek: 37 - 42
One 4.00 hours laboratory class per week on weekdays during the day from week 37 to week 42 and delivered via online.
LectureWeek: 37 - 42
One 2.00 hours lecture per week on weekdays during the day from week 37 to week 42 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | 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/A | N/A | No | 25 | SILO1, SILO2, SILO3 |
One 1-hour examination (1000 words equivalent) Exam covers a range of programming and typesetting problem solving tasks. | N/A | N/A | No | 30 | 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/A | N/A | No | 45 | SILO1, SILO3, SILO4 |
Melbourne (Bundoora), 2020, LTU Term 5, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRichard Hall
Class requirements
Laboratory ClassWeek: 37 - 42
Two 2.00 hours laboratory class per week on weekdays during the day from week 37 to week 42 and delivered via online.
LectureWeek: 37 - 42
One 2.00 hours lecture per week on weekdays during the day from week 37 to week 42 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | 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/A | N/A | No | 25 | SILO1, SILO2, SILO3 |
One 1-hour examination (1000 words equivalent) Exam covers a range of programming and typesetting problem solving tasks. | N/A | N/A | No | 30 | 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/A | N/A | No | 45 | SILO1, SILO3, SILO4 |