mat3em3 engineering mathematics 3
ENGINEERING MATHEMATICS 3
MAT3EM3
2015
Credit points: 15
Subject outline
This subject provides the mathematical foundation to statistical quality control applications in engineering context. It provides students with mathematical knowledge and skills needed to support their study of this course as well. Topics covered in this subject include: introduction to Laplace Transforms; introduction to Fourier series; descriptive statistics; probability principles; confidence intervals and hypothesis testing; multiple regression and factorial experiments; and satistical quality control. Studying through these topics, a conceptual understanding of the fundamental mathematical and statistical quality control approaches that are needed in the practice of structural, civil and municipality design as well as construction management will be developed. Skills in employing graphics calculators and relevant statistics packages to conduct statistical analysis for engineering projects will be developed as well.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorJoe Petrolito
Available to Study Abroad StudentsNo
Subject year levelYear Level 3 - UG
Exchange StudentsNo
Subject particulars
Subject rules
Prerequisites MAT2EM2
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditions Must be enrolled in course code SBECT
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Modern Engineering Mathematics, 4th edn | Prescribed | James, G 2010 | PEARSON PRENTICE HALL, HARLOW, ENGLAND |
| Readings | Statistics for Engineers and Scientists, 2nd edn | Prescribed | Navidi, W 2007 | MCGRAW-HILL, NEW YORK |
Graduate capabilities & intended learning outcomes
01. Solve differential equations related to engineering applications using suitable transformations.
- Activities:
- Lectures, tutorials and self study plus face to face and online group discussions. Problem solving assignments. Students are to investigate an engineering problem and to provide a mathematical solution to the problem.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Use random methods for sampling and produce descriptive statistics on collected samples.
- Activities:
- Lectures, tutorials and self study plus face to face and online group discussions. Problem solving assignments. Students are to investigate an engineering problem and to provide a mathematical solution to the problem.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Apply the principles of probability and Hypothesis testing using different distributions of events.
- Activities:
- Lectures, tutorials and self study plus face to face and online group discussions. Problem solving assignments. Students are to investigate an engineering problem and to provide a mathematical solution to the problem.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Model data that depends on multiple variables.
- Activities:
- Lectures, tutorials and self study plus face to face and online group discussions. Problem solving assignments. Students are to investigate an engineering problem and to provide a mathematical solution to the problem.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Apply statistical quality control techniques to engineering projects.
- Activities:
- Lectures, tutorials and self study plus face to face and online group discussions. Problem solving assignments. Students are to investigate an engineering problem and to provide a mathematical solution to the problem.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
06. Use a graphics calculator and a relevant statistics package to conduct statistical analysis.
- Activities:
- Lectures, tutorials and self study plus face to face and online group discussions. Problem solving assignments.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
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Epping, 2015, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorJoe Petrolito
Class requirements
WorkShopWeek: 10 - 21
Two 2.0 hours workshop per week on weekdays during the day from week 10 to week 21 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Weekly Tutorial Class Activities and Topical Online Quiz | 15 | 01, 02, 03, 04, 05 | |
| Examination (3 hours) | 50 | 01, 02, 03, 04, 05 | |
| Practical Investigation (1500 words equivalent) | 35 | 02, 03, 06 |