If you've ever been on Twitter or Facebook and read some tweets/status updates, you've taken part in something incredibly complex: processing the language of social media with ease and deriving some meaning and attitude from it. Outside the sphere of social media, of course, you process natural language every day, in your conversations with peers, in books, newspaper articles.. you name it. Computer scientists love these problems. We take natural ("everyday") language and try to create models to process it. (Siri/Google Voice, anyone?) But there's something special about the extremely ungrammatical nature of Twitter (coupled with its hashtags and internet slang), and this class will introduce you to some of that complexity, as well as how to make sense of it.

Discover how a computer scientist approaches problems. This class will introduce students to current concepts and the latest innovations in computer science that apply to everyday situations. Students will work to come up with algorithmic solutions and analyses to problems related to many fields within Computer Science.