Analytical approaches examining user interaction data to understand how interactive systems meet their users' goals are covered. The data preprocessing techniques, feature engineering for summative and temporal characteristics, statistical, data mining and machine learning techniques used to derive insights are compared, focusing on their benefits and pitfalls. Prerequisite: IAT 355 and IAT 360, both with a minimum grade of C-.
Analytical approaches examining user interaction data to understand how interactive systems meet their users' goals are covered. The data preprocessing techniques, feature engineering for summative and temporal characteristics, statistical, data mining and machine learning techniques used to derive insights are compared, focusing on their benefits and pitfalls. Prerequisite: IAT 355 and IAT 360, both with a minimum grade of C-.
