ENGEN301-19A (HAM)
Engineering Mathematics 3
15 Points
Staff
Convenor(s)
Stephen Joe
4073
G.2.28
Please email the lecturer for an appointment. His room is G.2.28 and extension is 4073.
stephen.joe@waikato.ac.nz
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Lecturer(s)
Steven Miller
6032
G.3.28
To be advised
steven.miller@waikato.ac.nz
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Librarian(s)
You can contact staff by:
- Calling +64 7 838 4466 select option 1, then enter the extension.
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Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
- For extensions starting with 4: dial +64 7 838 extension.
- For extensions starting with 5: dial +64 7 858 extension.
- For extensions starting with 9: dial +64 7 837 extension.
- For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
Paper Description
This paper covers further topics in statistics and mathematics that are required by the University of Waikato Engineering programmes.
The statistics component of the paper describes how to design and analyse experiments to extract maximum information from relatively few runs (ISO 12845 and ISO 13195), and how to use basic statistical concepts to monitor process output and implement quality improvement (ISO 11462).
The mathematics component of the paper looks at techniques for finding analytical solutions to ordinary and partial differential equations that arise in engineering. It also considers numerical techniques for: solving nonlinear equations, approximation of functions, and solving differential equations.
Paper Structure
This paper is taught through weekly lectures and a weekly tutorial held during a lecture hour (a "lectorial").
The Statistics half of the paper will make use of the statistical software package Minitab, which is freely available to students of this paper (see the ENGEN301 Moodle page for instructions to download/activate your own copy). Access to a computer lab in R-block will also be available for students who wish to use Minitab on a university computer.
The last quarter of the paper will make use of the Matlab package. Information about computer access for this will be provided later.
Learning Outcomes
Students who successfully complete the course should be able to:
Assessment
The test will be held on Thursday, 23 May, during the scheduled double hour for that day.
The "D" rule: The requirements for an unrestricted pass (C- or better) are a minimum overall mark of 50% for the whole paper and a minimum mark of 40% for the final examination.
Assessment Components
The internal assessment/exam ratio (as stated in the University Calendar) is 50:50. The final exam makes up 50% of the overall mark.
Required and Recommended Readings
Recommended Readings
D C Montgomery, George C Runger, Norma F Hubele (2011) Engineering Statistics John Wiley (QA276.12 .M63) - in the High Demand Collection
G E P Box, W G Hunter and J S Hunter (2005) Statistics for Experimenters. 2nd ed. John Wiley. (QA279.B68)
K A Stroud and D J Booth (2011) Advanced Engineering Mathematics 5th ed. Industrial Press (TA330.S79) - in the High Demand Collection for the second half of the semester
Online Support
The class Moodle page will contain many documents and data sets used in lectures and assessment. The Moodle site is the primary channel for communication of information about the paper.
Recommended Online Resources for Statistics
- NIST/Sematech Engineering handbook: http://www.itl.nist.gov/div898/handbook/
- CAST: "CAST stands for Computer-Assisted Statistics Textbooks. It teaches all topics in introductory statistical methods courses and many topics that are taught in more advanced courses." CAST provides many interactive displays to explain concepts and provides some practice exercises. Download for personal study from http://cast.massey.ac.nz/.
Workload
Linkages to Other Papers
Prerequisite(s)
Prerequisite papers: ENGEN183 or ENGG183 and ENGEN184 or ENGG184
Restriction(s)
Restricted papers: ENGG381, MATH257, MATH342, MATHS304