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: In-person (325 STM): TR 11:00 AM–12:00 PM; online: M 10:30–11:30 AM and W 3:00–4:00 PM; or by appointment. Send me an email to get the Zoom link for online office hours. (or by appointment)


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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