ENGEN30123A (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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What this paper is about
This paper covers further topics in statistics and mathematics that are required by a number of the specified programmes in the Bachelor of Engineering with Honours degree.
The statistics component of the paper starts with an introduction to linear models. It then looks at the use of linear models in experimental design and introduces statistical process control concepts.
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, approximating functions, and solving differential equations.
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/
How this paper will be taught
This paper is taught through three or four lectures per week with discussion about the number of lectures in the first lecture. There also a weekly tutorial held during the Thursday 12 noon class ("lectorial"). This class time will also be used for the two tests.
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 computer lab in R.G,12 Block will be available for students who wish to use Minitab on a university computer (see under Labs below).
The fourth quarter of the paper (tenth to twelfth weeks of teaching) will make use of the Matlab package which is available in the same computer lab as Minitab.
The computer lab times given below are times when ENGEN301 students have priority use of the 30 or so computers in this lab to complete assignment material. Attendance is optional. You may also use the lab at other times, but booked classes have priority. Times when a lecturer or demonstrator will be available in some of these timetabled lab times will be given on Moodle later.
Required Readings
John Bird (2017), Higher Engineering Mathematics, 9th ed.,Routledge. (The 8th edition is also acceptable.)
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 trimester.
You will need to have
Learning Outcomes
Students who successfully complete the course should be able to:
Assessments
How you will be assessed
The internal assessment/exam ratio (as stated in the University Calendar) is 50:50. The final exam makes up 50% of the overall mark.