CS 5536 - Data Mining of Scientific Data


Fall 2005- Course Syllabus

      PLEASE CHECK THE WEB PAGE OF THIS COURSE (http://www.cs.appstate.edu/~rt/DataMining/f05/)
PERIODICALLY FOR UPDATES, ASSIGNMENTS, CLASS NOTES, ANNOUNCEMENTS, and POSSIBLE CHANGES.



Professor: Dr. Rahman Tashakkori, e-mail:  rt@cs.appstate.edu, Web Page: http://www.cs.appstate.edu/~rt/
Office: CAP 121, Office Phone: 262-7009
Office Hours: MWF: 8:00-10:00, T 8:00-10:00, MW2:00-3:00, and Open Door Policy
Class Time/Location: MWF 11:00-11:50 /Room 444 CAP
Lab Location: Room 336 or 439 CAP
Final Exam: Tuesday, December 13, 2005 9:00-11:30 AM

Prerequisite 
Data Structures and Statistics

Textbook
Introduction to Data Mining, Rang-Ning Tan, Michael Steinbach, and Vipin Kumar, Addison Wesley, 2006 Edition.

Other References
Papers  from various resources
Handouts  provided  in class and online


Objective of the Course

Data mining plays an important role in knowledge discovery in large data sets.  It supports decision making by detecting patterns, devising rules, identifying new decision alternatives, and making predictions. Today, different experiments and studies produce significant amount of data that often contain valuable knowledge.  This course will introduce some basic knowledge discovery techniques that can be utilized for knowledge discovery in scientific data.  Students will learn about different types of data, data exploration, classification, and various knowledge discovery techniques. 

Tentative Course Outline
Overview of Database Systems and Design
Introduction to Data Mining and Knowledge Discovery
Data
Exploring Data
Classification
Association Analysis
Current research in Knowledge Discovery and Data Mining
 
Individual Projects
All students are expected to conduct research project(s) and to write paper(s) individually.  

Grading policy
The following grading scale will be used in this course:
                        Exam One  20% each,
                        Final exam, 30%,
                        Assignments 20%, and
                        Project(s) and presentations 30%

Students are required to attend all classes.   If you missed an exam due to an "extreme circumstances" such as illnesses, death of a relative, or problems of this nature, you have to present documents (e.g. a letter from a doctor, a letter from a hospital, or an obituary from the funeral).  In such cases, student's final exam's grade will be used for the missed exam.

Grading Scale
A = 93 to 100,  A- = 90-93.9
B+ = 87 to 89.9, B = 83-86.9, B- = 80-82.9
C+ = 77 to 79.9, C = 73-76.9, C- = 70-72.9
D+ = 67 to 69.9, D = 63-66.9, D- = 60-62.9
F = Below 60
No incomplete grade (I) will be given in this course.

Important Note
If you have a question send me an e-mail at any time, and I will try to reply to your e-mail as soon as possible.  I encourage you to communicate with me using e-mail whenever you have questions.  I also encourage you to check the announcements page periodically for updates regarding our class, assignments, etc....


Fall 2005 Academic Calendar
To view the calendar, click on the link below:
(http://www.registrar.appstate.edu/calendar/fall05.html)