Time & Place

Tuesdays 1:00 - 2:15 in 9 Sparks

Instructor

Xiaojiang Zhan

330A Thomas

xzhan@stat.psu.edu

Office hours: By appointment

Objective

This course will introduce graduate students to some basic knowledge in data management, manipulation and exploration using SAS software. Students will be offered the opportunity to learn a comprehensive set of SAS data-related techniques through lectures, demonstrations, homework assignments. The intended audience of this course is graduate students probably with some elementary experience using SAS. But those who have no prior knowledge about SAS should not feel difficult to follow the lectures.

Textbook

There is no required text. Lecture notes will be the major source of materials used in class. A searchable version of SAS online documentation (SAS 9.1) can be found at http://support.sas.com/91doc/. Some good references are listed below:

• Cody, Ron (1999), Cody's Data Cleaning Techniques Using SAS Software, Cary, NC: SAS Institute, Inc. ISBN: 1-58025-600-7.

• Cody, Ronald P. and Jeffrey K. Smith (1997), Applied Statistics and the SAS Programming Language, Prentice Hall Engineering, Science and Math, ISBN: 0-13-743642-4.

• Cody, Ron (1996), SAS Workbook and Solutions Set, Cary, NC: SAS Institute, Inc. ISBN: 1555447627.

• Delwiche, Lora D. and Susan J. Slaughter (1998), The Little SAS Book, Second Edition, Cary, NC: SAS Institute, Inc. ISBN: 1-58025-239-7.

• Gilmore, Jodie (1999), Painless Windows: A Handbook for SAS Users, Second Edition, Cary, NC: SAS Institute, Inc. ISBN: 1-58035-238-9.

Grading

50% Homework assignments; 30% Final take-home exam; 20% Class participation

Integrity

All Penn State and Eberly College of Science policies regarding academic integrity apply to this course. See http://www.science.psu.edu/academic/Integrity/index.html for details.