Course Overview
Course Description
Content
This course will introduce the overall field of artificial
intelligence. Our emphasis will be in understanding the
big-picture ideas in the discipline, including the historical
context.
Structure
Class time will be divided between lecture on AI topics,
class discussion in small groups, and, if time permits,
student presentations. There will approximately weekly
assignments, both written and programming, and two exams.
Objectives
After taking this course, you should be able to recognize
problems where standard AI techniques should be applicable,
and implement solutions to these problems. You will be
particularly well-versed in standard AI search and machine
learning techniques.
Instructor Information
Biography
I received a B.S. in Computer Science and Mathematics here at
Indiana University, and am currently in my third year in the
Computer Science Ph.D. program, minoring in Computational Linguistics.
My research interests are in natural language processing and machine
translation, and I'm currently working with my advisor, Mike Gasser, on
identifying loaded words in political texts. Over the past several
summers I have also worked as a web developer for a local company.
In my free time I enjoy video games and translating things the
old-fashioned way.