This course introduces students to the field of computational social science, a set of commonly used computational tools, and their applications to question of sociological interest. New forms of digital data present enormous opportunities for social research. These data include the finegrained and time-stamped records of human behaviour and interactions online, massive troves of text and other "unstructured" data, and digitized documents and administrative records. Although often defined by the specific set of data sources and tools, computational social science can also be characterized by an attitude toward social research that appreciates the substantial opportunities afforded by the increasing availability of digitized data sources, an openness to novel methodologies, and a willingness to write lots of code and learn on the fly. This course seeks to cultivate this attitude. You will be introduced to a suite of currently popular methods, but you will also be encouraged to develop an aptitude and comfort with coding and to keep pace with the rapidly evolving computational toolkit in your subfield.