CS57300 - Graduate Data Mining

CS57300: Fall 2016 — Time: Tue & Thu 9:00a-10:15a — Location: Physics Building 203

Schedule


Instructor

Bruno Ribeiro
LWSN 2142C (ribeiro@cs.purdue.edu)
Regular office hours: Fridays 1m-2pm (LWSN 2142C or 2150)
Office Hour Anomalies: (09/02, 9/23) 12pm-1pm

When sending emails about the course please include [CS57300] in the SUBJECT.
Without [CS57300] in the subject it is unlikely I will read it.

TAs

Israa Al-Qassem (ialqasse@purdue.edu)

Office hours: HASS G050, Wednesdays 2pm - 3pm.

Rohit Rangan (rrangan@purdue.edu)

Office hours: HASS G050, Tuesdays 12pm-1pm.

Description

This is the website for CS57300 (graduate) Data Mining.

Finals

The final is scheduled for Mon 12/12 7:00p - 9:00p PHYS 203

Learning objectives

Upon completing the course, students should be able to:

Prerequisites

STAT516 or an equivalent introductory statistics course, CS 381 or an equivalent course that covers basic programming skills (e.g., STAT 598G), or permission of instructor.

Text

The texts below are recommended but not required. Reading materials will be distributed as necessary. Reading assignments will be posted on the schedule, please check regularly.


Assignments and exams

There will be 5 homework assignments. The lowest homework grade will be discarded. Homework assignments should be submitted on https://ribeiro-www.rcac.purdue.edu/cs57300. Details will be provided in the assignments. Programming assignments should written in python, unless otherwise noted.

All homework will be due on the designated Friday 11:59pm (Eastern) deadlines. You are allowed, however, ONE update of your solutions by 11:59pm (Eastern) on Sunday without any penalty (48 hours after the deadline). There are no homework extensions. Late homework assignments will not be accepted.

In general, questions about the details of homework assignments should be posted on Piazza, and will be answered by the TAs and instructor.

There will be one take-home midterm and a comprehensive (in-class) final exam. The final will be closed book and closed notes.

Grading

Grades posting here.

Late policy

All homework will be due on the designated Friday 11:59pm (Eastern) deadlines. You are allowed, however, ONE update of your solutions by 11:59pm (Eastern) on Sunday without any penalty (48 hours after the deadline). There are no homework extensions. Late homework assignments will not be accepted.

Academic honesty

Please read the departmental academic integrity policy. This will be followed unless we provide written documentation of exceptions. We encourage you to interact amongst yourselves: you may discuss and obtain help with basic concepts covered in lectures or the textbook, homework specification (but not solution), and program implementation (but not design). However, unless otherwise noted, work turned in should reflect your own efforts and knowledge. Sharing or copying solutions is unacceptable and could result in failure. We use copy detection software, so do not copy code and make changes (either from the Web or from other students). You are expected to take reasonable precautions to prevent others from using your work.

Additional course policies

Please read the general course policies here.


Schedule (Subject to Change)