Assignments

|| 18th Apr' 2012 ||
 * **No.** || **Topic** ||  || **Deadline** ||
 * Assignment # 1 || Implementation of different search techniques. || [[file:Assignment01.pdf]] || 29th Feb, 2012 ||
 * Assignment # 2 || Use Weka/KNIME to perform classification on the given dataset. You need to experiment with the three classification approaches discussed in the course (i.e. Decision tree, Naive Bayes', Neural Networks) and present your results with different approaches and with different combination of predictors. Discuss your findings. || [[file:Modeling_Data.zip]]
 * Assignment # 3 || Pick any real-life scenario and create its Bayesian Network using GeNie. The scenario should be realistic enough to do inferences and perform decision making. Explain different type of serial, diverging and converging connections in your network. As a knowledge engineer, what problems did you encounter while modeling the scenario using Bayesian network? ||  || 19th May' 2012 ||