 Many people think that control is all about robots, knobs on your washing machine and other forms of instrumentation. These are of course industrial applications of control, but there is much more to control than just this. Stochastic control is all about decision making in the face of uncertainty. Problems from stochastic control appear all around us. We plan our travels in the face of uncertainty from traffic, companies plan expansion strategies in the face of market uncertainty, we buy assets like gold and property in order to guard against uncertainty and a cricket captain decides his team strategies in the face of uncertainty from weather, pitch conditions and so on. This course is about various decision making situations under uncertainty, what we call stochastic control. Our particular focus is on the role of information. Information can manifest itself in our lack of knowledge of the underlying system state. Therefore, uncovering this information is also part of stochastic control and part of this course. Information can also manifest itself in the asymmetry of observations between a decentralized team of controllers and therefore, communication and sharing of information is an integral part of stochastic control and part of this course. This course will introduce you to many of these aspects of the interplay of information and control. We will see formal ways of modeling and analyzing decision making problems under uncertainty with varying information structures and come to the realization eventually that stochastic control, communication, problems from organizational structure and economics are not just interrelated but in fact instances of a common theme of decision making under uncertainty.