This course introduces a series of cognitive models that address the question of how language is processed during reading, listening, and speaking.  Classic computational models, both connectionist and symbolic, are discussed, as well as more recent Bayesian approaches,  and approaches that make use of discrimination learning. The course covers models for single word processing, including the comprehension of morphologically complex words in auditory and visual comprehension, models addressing syntactic processing, and models developed for accounting for semantic effects in speech production.  Students will receive hands-on training in the use of key models. Presence in the course is mandatory. To obtain credit for the course, students write a short technical report about a modeling study using one of the computational models, applied to a topic in language processing of their choice. At the end of this course, students will have acquired an overview of key modeling approaches in the cognitive literature on language processing, and will be able to apply different modeling techniques in their own research.