Preliminary Syllabus

I will provide a short overview of several machine learning and data mining techniques in the first few weeks. You will be expected to learn one technique in depth, explain it to the rest of the class, then implement and apply it to a non-trivial data mining problem.

Groups are possible (maybe even encouraged) but need my permission. Project presentations will be at the end of the semester. While working on your problem, you will be asked to find, read, and present papers pertaining to your problem, or that you find interesting. Become familiar with the library and internet resources.

I require lots of class participation. You will be graded on this.

Your grade will depend on your presentations and project reports ($25\%$presentations, $25\%$ assignments, and $50\%$ project and report). I will expect to see you after each presentation to discuss the presentation. Any person or group producing publishable work gets an automatic A.

The first deadline is February 15th.