BSc, Dip Tchg, Business Studies, M.Prof. Studies Data Science
I have taught Programming, Statistics, Packages, Problem Solving and Maths, all at level 4 and 5, plus at higher levels an occasional delivery of Database design, Project Management and Research techniques. I also supervise students completing their major project at the end of their degree. I currently teach on the Data Analytics strand of our new major.
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Manukau Institute of Technology
My early career centred around Industrial Engineering and Quality Assurance for Bowaters, Courtaulds, Tootills and Ferodos in the UK, and Bonds NZ, Fisher and Paykel and Vehicle Assemblers NZ in New Zealand. The highlights from these times would include designing and implementing a line balance for an extra 10% production of a washing machine that achieved its target the first day it ran, being the Project Coordinator for the Gentle Annie, the first washing machine in the world without a gearbox, and learning and then implementing Statistical Process Control in a car assembly plant, which included teaching illiterate people to do stats and improve their life.
I then spent 5 years self-employed consulting in these two areas, with companies including Cerebos, Rheem and Carter Holt Harvey.
During this time my work gravitated from the doing to teaching about, such that in 1998 I fulfilled my father’s often repeated prophecy over me, that I should be a ‘teacher’, and joined MIT full time.
With MIT I have spent most of my time as a lecturer, but it has included time spent being Programme Leader for our original IT degree, firstly in sole charge, and then looking after the student-facing aspects.
The philosophy that is at the core of my teaching has two major strands: Firstly, that each person in front of me is worthy of my full respect and love, and secondly, that the only ‘silly’ question is the one you didn’t ask.
I have a Masters in Professional Studies (Data Science) through the Computer Science Department at the University of Auckland, and I am working through the Microsoft Data Science courses.
One research interest is Accelerated Learning, as part of my core desire to see all students achieve superbly, and to go out with more than just the technical knowledge that we deliver.
A second is using Virtual Reality to extend the number of dimensions we can usefully display when analysing datasets with high dimensionality (many variables).
And finally, I am working with Dr.Fadi Fayez, as he investigates the analysis of the data he has collected on ASD via his ASDTests app.