SFU                       Computing Science                       04-3
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CMPT 741-3 000   Database Systems
 Instructor: K. Wang                          SFU

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OBJECTIVE/DESCRIPTION:

This course will provide an overview and in-depth introduction on several
new developments in database systems for modern decision support.  In
particular, we cover data mining, knowledge discovery, and data
warehousing.  We will study principles, algorithms, implementations, and
applications.  The purpose is to introduce graduate students to the
frontiers of database research and applications.  This course belongs to
Area III --- Databases subarea.

TOPICS:

   o Basic data warehousing technology:  data cube methods, data warehouse
     construction and maintenance.
   o Foundations from Machine Learning.
   o Foundations from Statistics.
   o Basic data mining techniques:  characterization, association rules,
     classificiation, clustering, and outlier detection.
   o Advanced data mining techniques:  support vector machines, boosting
     and related methods.
   o Advanced data mining applications:  mining relational and transaction
     data, mining temporal data, spatial data mining, hypertext and web
     mining, visual data mining.

GRADING:

To be discussed in class.

Students must attain an overall passing grade on the weighted average of
exams in the course in order to obtain a clear pass (C or better).

TEXTBOOKS:

   o Data Mining:  Concepts and Techniques , Jiawei Han and Micheline
     Kamber, Morgan Kaufmann, 2001

PREREQUISITES/COREQUISITES:

An introductory course on Database Systems ( CMPT 354 or equivalent).
Preferred (but not required):  CMPT 454 (Database Systems:  An advanaced
Course), CMPT 410 ( An Introduction to Artificial Intelligence) and other
courses on Database Systems, Machine Learning and Statistics.

Distributed:  October 18, 2004

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Academic Honesty plays a key role in our efforts to maintain a high
standard of academic excellence and integrity.  Students are advised that
ALL acts of intellectual dishonesty are subject to disciplinary action by
the School; serious infractions are dealt with in accordance with the Code
of Academic Honesty (T10.02)
(http://www.sfu.ca/policies/teaching/t10-02.htm).  Students are encouraged
to read the School's policy information
(http://www.cs.sfu.ca/undergrad/Policies/).