IFSC 7320: Database Systems

IFSC 7320: Database Systems

OBJECTIVE: This is an advanced course about recent trends and development in database management systems. The main topics include database physical design and database mining.

TIME: Thursday 6 pm - 8:40 pm

LOCATION: ETAS 354

INSTRACTOR: Dr. Xiaowei Xu

Office hours: Friday 01:30 pm – 02:30 pm, other hours by appointment

Office location: ETAS 259A

Email Address: xwxu@ualr.edu

Home page: http://ifsc.ualr.edu/xwxu

PREREQUISITE: IFSC 3320 or equivalent.

Text:

M. Kifer, A. Bernstein and P. M. Lewis, Database Systems: An Application-Oriented Approach, Introductory Version, 2/E
Ian H. Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques (Second Edition), Morgan Kaufmann, 2005, ISBN 0-12-088407-0.

Recommended Textbooks:

Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann Publishers, March 2006. ISBN 1-55860-901-6.
N. Cristianini and J. Shawe-Taylor, AN INTRODUCTION TO SUPPORT VECTOR MACHINES (and other kernel-based learning methods), Cambridge University Press, 2000 ISBN: 0 521 78019 5
Christopher M. Bishop, Pattern Recognition and Machine Learning, 2006, XX, 738 p. 304 color illus., Hardcover, ISBN: 978-0-387-31073-2
Richard O. Duda, Peter E. Hart and David G. Stork, Pattern Classification, Wiley Interscience, 2000, ISBN: 0-471-05669-3.
Tom Mitchell, Machine Learning, McGraw Hill, 1997, ISBN 0070428077.

RECOMMENDED PROCEEDINGS AND JOURNALS

ACM SIGKDD Conference Proceedings.
Data Mining and Knowledge Discovery, an International Journal, Kluwer Academic Publishers.
Journal of Machine Learning Research (an online E-Journal).

TENTATIVE SCHEDULE:

Week	Date	Topic
1^st Week	1/17	Syllabus Overview of Databases
2^nd Week	1/24	Physical Data Organization and Indexing: Lecture 1 and Lecture 2 Assignment One (Due: 1/31/08)
3^rd Week	1/31	Physical Data Organization and Indexing
4^th Week	2/7	Physical Data Organization and Indexing: Lecture 3 and Lecture 4 Assignment Two (Due: 2/14/08)
5^th Week	2/14	Physical Data Organization and Indexing: Lecture 5 and Lecture 6 B+-Tree Java Applet Demonstration Assignment Three (Due: 2/21/08)
6^th Week	2/21	Physical Data Organization and Indexing: Lecture 7 Assignment Four (Due: 2/28/08)
7^th Week	2/28	Review
8^th Week	3/6	Midterm Exam
9^th Week	3/13	Overview of Data Mining and Knowledge Discovery: Lecture 8
10^th Week	3/20	Independent Study: Proposal for final project
11^th Week	3/27	Spring Break, No classes
12^th Week	4/3	Feature Selection
13^th Week	4/10	Decision Trees
14^th Week	4/17	Support Vector Machines
15^th Week	4/24	Cluster Analysis
16^th Week	5/1	Cluster Analysis
17^th Week	5/8	Final Project Presentation Due of Technical Report for Final Porject

ATTENDANCE: Regular attendance is expected of all students.

EXAMINATIONS: Projects, homework, midterm exam, and final examine.

ASSIGNMENTS: Homework may be assigned from questions at the end of each chapter and other sources. All projects and assignments must be completed and hard copies and diskette(s) turned in by the beginning of class on the due date. No late assignments will be accepted.

COLLUSION: Unless otherwise stated Collusion on assignments is strictly prohibited. Doing so will earn you and the student(s) you copied from grades of zero and a request to drop the course.

METHOD OF EVALUATION:

Project and homework: 50

Midterm and final examines: 50

GRADING SCALE:

A: [90-100]

B: [80-90)

C: [70-80)

D: [60-70)

F: below 60

Disability Support Services: It is the policy of UALR to accommodate students with disabilities, pursuant to federal law and state law. Any student with a disability who needs accommodation, for example in arrangements for seating, examinations, note-taking should inform the instructor at the beginning of the course. It is also the policy and practice of UALR to make web-based information accessible to students with disabilities. If you, as a student with a disability, have difficulty accessing any part of the online course materials for this class, please notify the instructor immediately. The chair of the department offering this course is also available to assist with accommodations. Students with disabilities are encouraged to contact Disability Support Services, telephone 501-569-3143 (v/tty), and on the Web at http://www.ualr.edu/dssdept/.