IST 597C: Advanced Topics in Databases
Fall 2005 University Park
Section 1: taught by James Z. Wang, Thu 9:05A-12:05P 210 IST Building
( http://wang.ist.psu.edu )

The main purpose of this course is to introduce advanced concepts of database modeling, databases for specific domains, data and information integration, mining, clustering, learning, large-scale query processing, and query processing for special data types. Specifically, the course will cover the following topics: If time allows, we may cover additional topics. From time to time, guest lecturers will come to the class and present their research areas related to databases. Undergraduate students interested in taking this course can discuss this with the instructor. Student with sufficient background can be allowed to register in this course.

Personnel

Prof. James Z. Wang IST Building 313C
814-865-7889
jwang @ ist.psu.edu
Office hours: Wednesday 10:00AM-12:00noon
or by appointment

Prerequisites

Textbook

Requirements

(0) Class participation

The class will normally meet once for three hours each week. You are expected to participate in normal class activities and contribute to the discussions. You can be awarded for as much as 10% of your final grade if you actively and positively contribute to the class discussions. In middle of each lecture, I will give you a break of about 5 minutes to take a rest. During this time, you can talk with your classmates, ask me questions, walk around, or go to the bathroom.

(1) Homeworks/Projects

Some homework questions or team projects will be assigned from time to time. These assignments help to understand the materials covered in the course.

(3) Exams

The course does not have exams.

(4) Literature Research and Presentations

Each student in the course will be assigned one or two topics for literature research. You will be provided some key publications within this topic assigned to you. For this assigned topic, you will need to search for further literature, understand the key issues in this topic, write a literature survey article on this, and present your findings to the class. Each presentation will be one hour in length. The presenting student is expected to promote active discussions in the class. At the end of the semester, well-written literature survey articles may submit for journal or conference publications.

Grading Policy

The approximate weights of the components are:

ComponentTeam Projects / Homeworks Research / Presentation / Participation
Weight 40% 60%

Student Responsibilities

Academic Integrity and Other Policies
- Course policy
The basic presumption is that the work you do is your own. Occasionally, especially when working on problem sets (but never on exams!), it may be necessary to ask someone for help. You are permitted to do so, provided you meet the following two conditions.
  1. You acknowledge the help on the work you hand in.
  2. You understand the work that you hand in, so that you could explain the reasoning behind the parts of the work done for you by another.
Any other assistance by another person constitutes a violation and will be treated as such.

- University policies
Academic Integrity: According to the Penn State Principles and University Code of Conduct:
Academic integrity is a basic guiding principle for all academic activity at Penn State University, allowing the pursuit of scholarly activity in an open, honest, and responsible manner. In according with the University's Code of Conduct, you must not engage in or tolerate academic dishonesty. This includes, but is not limited to cheating, plagiarism, fabrication of information or citations, facilitating acts of academic dishonesty by others, unauthorized possession of examinations, submitting work of another person, or work previously used without informing the instructor, or tampering with the academic work of other students.
Any violation of academic integrity will be investigated, and where warranted, punitive action will be taken. For every incident when a penalty of any kind is assessed, a report must be filed. This form is used for both undergraduate and graduate courses. This report must be signed by both the instructor and the student, and then submitted to the Senior Associate Dean.
Affirmative Action & Sexual Harassment: The Pennsylvania State University is committed to a policy that all persons shall have equal access to programs, facilities, admission, and employment without regard to personal characteristics not related to ability, performance, or qualifications as determined by University policy or by Commonwealth or Federal authorities. Penn State does not discriminate against any person because of age, ancestry, color, disability or handicap, national origin, race, religious creed, gender, sexual orientation, or veteran status. Direct all inquiries to the Affirmative Action Office, 211 Willard Building.
Americans with Disabilities Act: IST welcomes persons with disabilities to all of its classes, programs, and events. If you need accommodations, or have questions about access to buildings where IST activities are held, please contact us in advance of your participation or visit. If you need assistance during a class, program, or event, please contact the member of our staff or faculty in charge. Access to IST courses should be arranged by contacting the Office of the Senior Associate Dean, 002D Thomas Building: (814) 865-4457
An Invitation to Students with Learning Disabilities: It is Penn State's policy to not discriminate against qualified students with documented disabilities in its educational programs. If you have a disability-related need for modifications in your testing or learning situation, your instructor should be notified during the first week of classes so that your needs can be accommodated. You will be asked to present documentation from the Office of Disability Services (located in 116 Boucke Building, 863-1807) that describes the nature of your disability and the recommended remedy. You may refer to the Nondiscrimination Policy in the Student Guide to University Policies and Rules.

2005   James Wang, School of Information Sciences and Technology, Penn State University