Computational linguistics addresses the problem of 'information overload,' the result of huge advances in processing speeds and memory size. This course shows the methods and techniques for automatically analyzing and modeling natural language data in order to redress the balance of information acquisition and information analysis, turning information into knowledge. The focus will be word-based, sentence- based and meaning-based computational approaches. Students will have the opportunity to practically apply their theoretical knowledge in a computer environment. Computer languages used will be Python and DATR, as well as some basic UNIX-based scripting languages. No experience with computers is necessary. By the end of the course, students will have acquired a host of transferrable skills for an increasingly digitally dominated job market.