This course is intended to give students a broad overview of decision-making concepts, process, and strategies, to introduce students a variety of information technologies that are often used to support decision making in real-world applications. The course will cover fundamental issues in decision making and support, including, but not limited to, decision making strategies, decision models, design, development, and evaluation of decision support systems, as well as intelligent decision support technologies such as expert systems, neural network systems, data and text mining, decision tree etc. Additionally, it provides an understanding of the concepts and methods of artificial intelligence applied to healthcare services. It also provides students with predictive and analytical models for health including statistical methods, the fundamental background of machine learning algorithms, how and where to apply them, and evaluate different algorithms on different datasets. This is achieved using techniques such as machine learning and expert systems. The course will have an internal lab through which students will learn SPSS.