Faculty of Information Technology
|Faculty||Faculty of Information Technology|
|Offered||Caulfield First semester 2013 (Day)|
This unit looks at the development and application of biologically inspired models of computation. We study: basic components of a natural neural systems: synapses, dendrites and neurons and their computational models; fundamental concepts of data and signal encoding and processing; neural network architectures: pattern association networks, auto associative networks, feedforward networks, competitive networks, self organizing networks and recurrent networks; plasticity and learning. Hebb rule, supervised learning, reinforced learning, error-correcting learning, unsupervised learning, competitive learning, self-organization.
At the completion of this unit students will:
Examination (3 hours): 60%; In-semester assessment: 40%
2 hrs lectures/wk, 2 hrs laboratories/wk