After 35 years of teaching in IT at all levels I have developed a learning method that works with my students. The process is top down. After a brief overview, students are introduced to a new application through a working exemplar that they can explore. Once they have a concept of what a program can do they then investigate its features. In this way they have a framework to hang the new learning on. All instruction is detailed step-by-step with full images of what they aim to produce.

Last updated

22 February 2018

pdf, 1.96 MB
pdf, 1.96 MB
An investigation into artificial neural networks (ANNS) that looks at:
鈥� what a neuron is and how the brain uses neurons to learn and to process information
鈥� how artificial neurons work and how they can mimic natural neurons
鈥� building a simple brain from neurons
鈥� how to train an artificial neural network
鈥� calculations involved with artificial neurons
鈥� programming and training an ANN simulator, then using it to determine new output
鈥� the role and applications of ANNs.
This unit contains 6 classroom-tested activities to reinforce concepts, including the use of an ANN simulator.

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