Data Mining (IIT Guwahati, Fall 2012)

05:00-07:00 PM (Tuesday, Thursday), Room 2001

http://www.iitg.ernet.in/awekar/teaching/cs568fall12/

Announcements

• Jul 30: Selected student expectations and instructor's response.

• Jul 30: We will use online collaboration tool "Piazza" for this class. You will have to provide your email address ending in ".iitg.ac.in". Join our class at the following link http://www.piazza.com/iitg.ac.in/fall2012/cs568

• Jul 30: Sign up for lecture notes slot on the sheet pasted outside instructor's office before August 02.

Instructor

            Amit Awekar ([instructor first name] [instructor last name]@ gmail.com),   

            Office Hours:  12 pm to 1 pm (Tuesday, Thursday), CSE Department Room 7.

 

Teaching Assistants

            Hardik Modi (iitg id: g.modi),   

            Office Hours:  12 pm to 1 pm (Monday, Wednesday), CSE MTech Second Year Lab.     

 

            Goutam Das (iitg id: d.goutam),   

            Office Hours:  By appointment, CSE MTech Second Year Lab.

 

Course Texts

Introduction to Data Mining, Tan, Steinbach, and Kumar, Pearson (ISBN 978-81-317-1472-0)

Course will also cover related research literature.

Course Prerequisites

            Basic understanding of design and analysis of data structures and algorithms.

Course Purpose

Learn principles of designing effective and efficient data mining algorithms. This course does not deal with how to use a particular data mining tool.

Grading

A weighted average grade will be calculated as follows:

•  Midterm examination: 5 points
•  Final examination: 10 points
• Course project: 70 points
  • Meeting 1 (10 points)
  • Meeting 2 (20 points)
  • Meeting 3 (10 points)
  • Demo      (10 points)
  • Report     (20 points)
•  Home work: 15 points   (3 home works. each for 5 points.)
  • Critical reading of five research papers related to your project
  • Presentation of a data mining topic related to your project
  • Critical reading of reports of two other groups
•  Preparing lecture notes for one class: 5 points

A final course score of 95 or above is guaranteed a course grade of AA, 85 or above = AB, 75 or above = BB, 70 or above = BC, 65 or above = CC, 60 or above = CD, 40 or above = DD and F for less than 40. It is theoretically possible for everyone in the class to get an AA (or the opposite). Your performance depends only on how you do, not on how everyone else in the class does. No incomplete will be given in this course.

Re-grade Policy

If you believe that you should have scored more points than you got, write a clear statement making your case and take it to the instructor. All re-grade requests must be made no later than a couple of days after declaration of each evaluation.

Home Work Submission

Home works are to be submitted only as a soft copy. Late submissions will not be accepted for any of the home works except for extreme medical emergencies. No other reasons will be entertained. Enough time will be given to you for each home work, so plan your time wisely and start well before the deadline. You can submit your home work before submission deadline. Any academic dishonesty will be punished strictly.

Attendance

If you miss a class it is your responsibility to make up. If you miss an exam, please supply official documentation in order to get credit. For anticipated absences, the instructor will give an exam prior to the exam date for the rest of the class; all early-final-exam requests must be received by the instructor at least 15 days before the regular scheduled date for the exam.

Statement for Students with Disabilities

Reasonable accommodations will be made for students with verifiable disabilities.

Academic Integrity

The IITG policies against academic dishonesty will be strictly enforced. For the first instance of academic dishonesty, instructor will take appropriate action. However, second instance of academic dishonesty guarantees you the F grade.