Statistics 5103 – Fall, 2006
Advanced Computer Processing of Statistical Data
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Department
of Statistics
University of Central Florida
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Instructor: |
Dr. Xiaogang Su |
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Office |
Room 102, CC II |
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Phone: |
(407) 823-2940 |
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Email: |
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Office Hour |
MF 3:00-4:00 pm |
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Prerequisite |
STA 6236 |
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Website |
http://pegasus.cc.ucf.edu/~xsu/CLASS/STA6238/ |
Announcement:
Dr. Morgan Wang will be hosting presentations by BlueCross & BlueShield of Florida and UCF Office of Student Retention on Friday, October 20 from 3pm -5pm in the Business Administration building room 218. The agenda will be as follows:
- 3:00 to 3:05: Welcome Remark - Mark E. Johnson
- 3:05 to 3:20: Data Mining Opportunity in Academic - Steve Johnson and Ronald Atwell
- 3:20 to 4:05: Data Mining Opportunity in Health Care Industry - Brad Jordan
- 4:05 to 5:00: Discussion - Morgan C. Wang
Description
of the Course:
Significant portion of computer resources are devoted on data processing and a huge amount of data is generated each day. Although these data represent a wealth amount of information that can be used to improve decision-making process in virtually any field, most of the information hided in the data has never been discovered. Even if the information has been discovered, communicate the information with other people poses a challenge to data analyst or data miner. This course focuses on teaching tools that can be used in preparing data for analysis or mining and tools that can be used to communicate analytical findings to general public. SAS products covered in this course include SAS Base, SAS/GRAPH, SAS Macro Language, SAS/SQL, ODS, PROC Report, and SAS/IntrNet.
Statistical
Computing: SAS
9.1 is available. In order to reinstall the new version of SAS and SAS
Enterprise Miner on your PC, please bring 7 CDs and one
floppy disk to the data mining lab, which is
located at Room 350, MAP
Building
Syllabus
and the grading policy:
Range |
94+ |
93-90 |
89-87 |
86-83 |
82-80 |
79-77 |
76-73 |
72-70 |
69-67 |
66-63 |
62-60 |
59-0 |
Grade |
A |
A- |
B+ |
B |
B- |
C+ |
C |
C- |
D+ |
D |
D- |
F |
Class Notes: The Acrobat Reader,
which is free, is needed in order to
view pdf files appropriately. These class
notes are modified from Dr. Morgan Wang's previous classes.
Homework assignments and Class Handouts:
Homework Assignment Data Sets Other Files 1 Homework 1 assign1-excel.xls assign1-raw.txt delta-method 2 Homework 2 ebap.sas7bdat 3 Homework 3 a.txt (After downloading, change its name to Allsur.sd2.)
format_proj3.sas sascode-proj3.sas 4 5 6 Final
Other Resources:
- SAS -V9 Documentation is free on the web, both HTML and PDF http://support.sas.com/v9doc/, or within your software: HELP -> SAS Help and Documentation.
- To have offline SAS help info, you might want to install this HotFix – only applicable to SAS V9.
- I also recommend you to install SAS System Viewer.
- Another place to download SAS documents.
- You can also find your data set from your own work or other sources such as an online data library:
- UCI Machine Learning Repository - http://www.ics.uci.edu/~mlearn/MLRepository.html
- StatLib - http://lib.stat.cmu.edu/
- Dr. John P. Klein’s website – Survival Data (you might want to ignore the failure times and just focus on status in order to apply logistic regression.) http://www.biostat.mcw.edu/homepgs/klein/menu.html
- The Royal Statistical Society: http://www.blackwellpublishing.com/rss/Volumes/A162p1.htm
- University of Massachusetts Amherst: http://www-unix.oit.umass.edu/~statdata/statdata/