Part-1
There are four training input/target pairs for a two-class problem:
A two-input perceptron with hard limit activation function is used to solve this classification problem. Write down the step-by-step solution to train the classifier by the basic perceptron learning rule.
Part-2
Design a DSS to help decision-makers run the 2012 London Olympics.
Your proposal (including diagrams and write-up) may use any combination of DSS types, technology, architectures, frameworks, etc. that have been covered in the course. You may also apply them to any aspect(s) of the case study mentioned above.
Credit will be given for creativity, practicality and research.
Credit will be given for the following areas:
Good overall design with appropriate choice of modules, functionality, information links and flows, etc.
Modelbase: sensible choice of models with appropriate inputs and outputs. Database / Datawarehouse: sensible choice of data useful for DSS.
Choice of appropriate DSS types from the ones studied in the module. Appropriate analysis of DSS in terms of technology, evaluation procedures, etc.
Research into existing/similar DSS in place already.
Creativity, practicality and innovative thinking.