ENGEN30122A (HAM)
Engineering Maths and Modelling 3
15 Points
Staff
Convenor(s)
Stephen Joe
4073
G.2.28
stephen.joe@waikato.ac.nz

Lecturer(s)
David Chan
9068
G.3.09
david.chan@waikato.ac.nz

Administrator(s)
Librarian(s)
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Paper Description
This paper covers further topics in mathematics and statistics that are required by a number of the the University of Waikato's Engineering programmes.
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.
The statistics component of the paper starts with some elementary statistics concepts, before covering 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 learning outcomes for this paper are linked to Washington Accord graduate attributes WA1WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/
Paper Structure
This paper is taught through weekly lectures and a weekly tutorial held during a lecture hour (a "lectorial").
The second quarter of the paper (fourth to sixth weeks of teaching) will make use of the Matlab package which is available in a computer lab in R Block (see under Labs below).
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 the same computer lab in R Block as used for Matlab will be available for students who wish to use Minitab on a university computer.
Learning Outcomes
Students who successfully complete the paper should be able to:
Assessment
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
K A Stroud and D J Booth (2011) Advanced Engineering Mathematics 5th ed. Industrial Press (TA330.S79)  in the High Demand Collection for the first half of the trimester.
D C Montgomery, George C Runger, Norma F Hubele (2011) Engineering Statistics John Wiley (QA276.12 .M63)
G E P Box, W G Hunter and J S Hunter (2005) Statistics for Experimenters. 2nd ed. John Wiley. (QA279.B68)
Other Resources
Minitab (Version 19) can be downloaded from the following link: https://www.minitab.com/enus/support/downloads/#mtb19Files
You will require a license file, and this will be made available to students through Moodle.
Students are also required to submit their statistics assignments as a Microsoft Word document. Microsoft office 365 is free for all students studying at the University of Waikato, and instructions for download can be found at https://www.waikato.ac.nz/ictselfhelp/guides/freemicrosoftofficesuitedownload
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 ComputerAssisted 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: ENGEN201
Restriction(s)
Restricted papers: MATHS304 or COMPX367