CSCI 8380 - Spring 04
ADVANCED TOPICS
IN INFORMATION SYSTEMS
Instructor: Dr. Budak Arpinar (LSDIS Lab)
Prerequisite: A Database Management
or Software Engineering Course.
2nd paper is here. Please read pages 15-47; yet if you can read upto page 60 (end of Chapter 3) that will be excellent.
1st paper to be reviewed is [here].
This is the review form.
In this course, advanced topics in
information systems and databases will be discussed. The two major issues dealt
with are: (1) information integration and interoperability, (2) novel database
technologies. The first addresses the integration of autonomous and
heterogeneous resources managing structured, semi-structured, and un-structured
data. The second deals with the query formulation, and processing on
heterogeneous content. Special attention will be given to emerging research areas
fueled by the Web and related technologies.
Graduate students will be required
to complete additional assignments, handle more complex assignments, read
additional papers, make class presentations, and answer more in-depth questions
on exams.
Students completing Advanced Topics in Information Systems
will have been exposed to a number of lecture topics as well as many practical
topics. Lecture topics include information integration and interoperability,
federation/mediator/brokering architectures, agent-oriented systems, query
formulation and processing, semi-structured and multimedia data management,
metadata, and knowledge management. Practical topics
include implementation issues such as languages and protocols for developing
advanced/distributed/global information systems and their applications. The
students will be exposed to very recent advances and research issues in the
database and intelligent systems communities.
The course will consist of
lectures, student presentations, a major course project, and a final write up
of activities. Students will be graded on the standard A to F grading scale,
and will provide end of course evaluations on the instruction and course
content following established Computer Science Department course evaluation
procedures.
1.
Methodologies
and Models for Advanced Information Systems (ISs)
2.
Integration
and Interoperation of Heterogeneous and Distributed ISs
3.
Federated
Database, Mediator and Information Brokering Architectures
4.
Object-oriented
and Agent-Oriented ISs
5.
Query
Processing Including Planning and Optimization
6.
Content
Organization Including Taxonomy, Classification and Ontologies
7.
Knowledge
Sharing and Knowledge Management
8.
Novel
Database Technologies
9.
Languages
and Protocols for Advanced ISs
10. Applications of Advanced ISs in Enterprises and for the Web