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This course provides coverage of both introductory and intermediate topics in social network analysis with a primary focus on recent developments in theory, methods and substantive applications. We will begin the course with a brief overview of introductory themes and concepts from various disciplines that have contributed to social network theory, including sociology, anthropology, social psychology, and organizations. Introductory topics to be included: centrality, cliques, structural and regular equivalence and cognitive social structures. The primary topics to be covered in this course include the application of network theory to the study of careers, competition, innovation, inequality/stratification, and recent research on IT mediated networks, as well as an examination of network formation and dynamics. The course will also provide hands-on experience applying social network methods in empirical research. Students will have an opportunity to learn some modern network analysis methods and apply them to network data using the R programming language. No prior experience with social network analysis or software is required.