This is a self-study elective course that I also offer as a contact course for research scholars on demand. I put together a program of weekly reading and written assignments, and a final presentation. The topics covered are a mixture of Bayesian networks, graphical models, approximate inferencing, sequential decision making and reasoning under uncertainty. Recently, this course has come to focus more on approximate inferencing in graphical models, and their applications. In 2014 I offered this as a taught course, with focus on more recent developments in the field. Please see the Moodle page for more details.