This document contains instructions for homework assignments in data mining. It includes 3 exercises: 1) Describe two scenarios where data mining could be applied, what would be predicted, relevant attributes, data used, and potential problems. 2) Derive Bayes' rule step-by-step from definitions of conditional probability and other rules. 3) Calculate entropy for variables with different probability distributions, find the minimum bits needed to represent values, and explain which distributions have highest and lowest entropy.