FIT5047 – Intelligent Systems Week 6

Intelligent systems’ sixth week took a swing into soft computing and probabilistic systems. We had a quick introduction to probability theory which had the usual intuition breaking outcomes. The use of venn diagrams to explain parts of Kolmogorov’s Axioms were particularly useful. The definition of conditional probability did strike me a little of guard however:   Although in review this does seem much clearer. Given the knowledge of B [yellow] what is.. Read More

FIT5059 – Adv. Prog. for DB Applications Week 6

Week 6 saw an introduction to  custom forms. It makes a lot more sense now why we completed the basic introductions to each component in an automated fashion now. All of the elements that we have already put into practice can be added to a window and customized. Using smart triggers in conjunction with stored procedures gives us the tools that we need to make decent database applications. The properties palette style.. Read More

FIT5167 – Natural Computation Week 6

Natural computation entered week 6 with an introduction to unsupervised learning. That is, learning in a neural network without a target for output. This is generally achieved through classification/clustering/self organising maps [SOM]. self organising map The networks for SOMs are actually a little bit simpler than MLP. The process for creating clusters is also quite intuitive. Each neuron in the feature map layer has a unique weight vector, if an input results in that neuron.. Read More

FIT5044 – Network Security Week 6

Week 6 continued on the topic of firewalls. We got into some more detailed discussion about the implementation of the concept of firewalls. For example, the use of hardware/software and integration into the OS kernel etc. The question of where and how the firewall engine should be implemented generates a number of options. One thing to remember is that (all else being equal) a more secure configuration will result in less convenience for the.. Read More