COSC 584: Machine Learning Seminar
Fall 2008
| Class Time: |
T 6:15–8:45 PM |
| Classroom: |
ICC 203 |
| |
|
| Instructor: |
Mark Maloof |
| Office: |
325 St. Mary's Hall |
| Mailbox: |
329A St. Mary's Hall |
| Office Hours: |
None for 24–25 academic year.
(or by appointment) |
Description
The purpose of this seminar is to expose graduate students to current
methods and practice of research in machine learning by critically
analyzing scholarly articles and conducting their own investigation
on a topic of their choosing. The seminar will begin with an introduction
to machine learning, challenges, algorithms, software, and data sets.
Students will learn current practice in the field by critically
analyzing assigned or selected papers using criteria from peer-reviewed
conferences and presenting their analysis to the class, which they will
summarize in an annotated bibliography. They will replicate some aspect
of the article and report on their findings. Students will undertake
their own investigation of a research problem of their choosing. Toward
the end of the semester, students will submit a draft report describing
their project and findings, which the members of the class will review
and critique. The seminar will culminate with a presentation of their
study and its findings, and the final report and the annotated bibliography
will be due at the end of the semester.
This semester, we'll be using Blackboard.
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