Instructor

Prof. David Jensen
283 Computer Science Building
jensen@cs.umass.edu
545-9677

Prerequisites

CS Graduate Student or permission of instructor

Description

Principles of Knowledge Discovery introduces students to basic concepts in data mining and knowledge discovery, including knowledge representation, data representation, search, parameter estimation, and hypothesis testing. Students will read and discuss 5-6 technical articles each week.

Grading criteria

50% Course discussion
25% Paper presentations
25% Response papers

A response paper selectively summarizes an article and poses two or three key questions that you would like to address during class discussion. A response paper on one of the assigned readings is due by midnight of the day preceeding each class. Each paper should be one-half to one page long and should be delivered as a text-only email message to the instructor. Students who are presenters for a given class do not need to turn in a response paper for that class.

Each student can opt out of up to two classes (and the associated response papers) by informing the instructor prior to the beginning of class.

Important dates

Sept 18 Last day of drop/add
Oct 16 Last day to drop
Oct 23 No Class (Instructor travel)
Oct 30 No Class (Instructor travel)
Nov 1 No Class (Instructor travel)
Nov 22 No Class (Thanksgiving Break)
Dec 13 Last day of class