Topics vary by semester. May be repeated for credit as topics change. Topic for Fall 2016: Natural Language Processing and Computational Linguistics. Introduction to computational techniques to explore linguistic models and test empirical claims. Serves as an introduction to programming, algorithms, and data structures, focused on modern applications to NLP. Topics include tagging and classification, parsing models, meaning representation, and information extraction.