A survey of the aims of linguistic research and introduction to the basic mathematics of formal linguistics; logic, sets, algebra, graphs, feature structures, formal language theory.

Its conceptual foundations, methodology, and current theoretical frameworks. Students will carry out actual linguistic analysis. For students in the M.A. program and in fields other than linguistics.

This course involves the development and exchange of scholarly information on specific topics in the field of linguistics. Course rotates between various topics and may be taken up to four times. The scope of work shall consist of research by course registrants, with the exchange of the results of such research through discussion, reports, and/or papers.

Introduction to Japanese sociolinguistics: questionnaire studies, variation analysis, ethnography of communication, conversation analysis, interactional sociolinguistics, and language and social interaction. Graduate-level requirements include a substantial term paper and may include extra readings and an additional weekly meeting when the class is convened with JPN 436.

This course provides a rigorous introduction to the phonetics and phonology of Japanese. Some related topics in morphology are also covered. Students develop a sophisticated understanding of some of the problems encountered in teaching Japanese to non-native speakers. Graduate-level requirements include a substantial term paper and a class presentation based on that paper.

Advanced readings in Japanese and English on specific topics in Japanese linguistics. Graduate-level requirements include a substantial term paper and a class presentation based on that paper.

Phonology, morphology, syntax, pragmatics, and sociolinguistics of the Japanese language. Graduate-level requirements include a substantial term paper and a class presentation based on that paper.

Introduction to general issues of gender and language use, specific gender-related differences in the Japanese language, and gender roles in Japan. Graduate-level requirements include a substantial term paper and may include extra readings and an additional weekly meeting.

Most of the data available on the web or managed by institutions and businesses consists of unstructured text. Natural language processing tools help to organize such texts, extract relevant information from them, and automatize time-consuming processes. This course will teach the fundamental knowledge necessary to design and develop end-to-end natural language understanding applications, drawn from examples such as question answering, sentiment analysis, information extraction, automated inference, machine translation, chatbots, etc. We will use several natural language processing toolkits and libraries.

This course provides a comprehensive survey of video game production practices. Students work on game development assignments for presentation in a professional portfolio. The course topics include: collaborative technologies, software design patterns for games, spatial transformations, and technical considerations surrounding game art, such as authoring sprites, 3D models, animations, texture mapping, and writing shaders. Students will be given periodic assignments that reinforce lessons from class.