As a general measure of uncertainty, Entropy finds diverse applications in numerous disciplines, such as physics, chemistry, and biology. This course will highlight many of these applications. After introducing the basic notions of entropy and information, we will study the theoretical underpinnings of its many interpretations. Illustrations of these ideas will be drawn from information theory, statistical inference, statistical mechanics, network theory, and biophysics.