Syllabus

CS454 Topics in Advanced Computer Science

Summer 2009
Computer Science Department
California State University, Los Angeles

Lectures:

Monday 6:10pm - 10:00pm, in E&T A331

Instructor:

Chengyu Sun
Email: csun@calstatela.edu
Office: E&T A317
Office Hours: MTR 3-5pm, or by appointment, in E&T A317

Course Description:

This is a graduate seminar class (CS594) offered as CS454 for some technical reasons. This quarter we will look into research in the development and application of data mining algorithms, focus on web usage mining and using GPU as a parallel platform for data mining operations.

Prerequisites:

Open primarily to graduate students.

Software Tools:

Required - Email
Optional (for access online lecture notes) - Adobe Acroread and/or MS PowerPoint

Grading Policy:

Presentation 30%, Midterm 30%, Final 30%, Attendance 10%. Extra credit will be given to the students who actively participate in class discussion.

90 - 100
80 - 90
60 - 80
40 - 60
below 40

A
B
C
D
F

Schedule:

Week	Topics
1	Administrative Issues Introduction to Data Mining
2	Web Usage Mining
3-5	[Student Presentations]
6	Midterm
7-8	[Student Presentations]
9	General-Purposed Parallel Programming on GPU More Data Mining Algorithms
10	[Student Presentations]
11	Final

Online Resources:

Class home page - http://sun.calstatela.edu/~cysun/www/teaching/cs454/index.html
Class forum - http://sun.calstatela.edu/csns/forum/viewForum.html?forumId=31031
Papers - http://sun.calstatela.edu/~cysun/papers/cs454-x09.html

Academic Integrity:

Cheating will not be tolerated. Cheating on any assignment or exam will be taken seriously. All parties involved will receive a grade of F for the course and be reported to the Academic Senate.