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Stat680    Syllabus    Fall 2009

Textbook

SAS Certification Prep Guide: Base Programming for SAS 9 (ISBN: 978-1-59047-922-3), SAS Publishing.

Reference

SAS Online Documentation 9.1.3 (PDF)

Homeworks

Homework problems will be selected from exercises (to be given in Exercises which may be updated from time to time). Homework due dates will be announced. The instructor reserves the right to select problems to turn in. Please observe the following rules for homework:

1. You are encouraged to discuss homework problems in general with your classmates. However, each homework turned in should be entirely your own work.
2. Turn in the necessary codes and outputs (either required by the problems or you deem it's necessary) by e-mail with attachments (clearly named or marked).

Projects

There will be two term projects (due dates: October 8 and November 12 at the beginning of classes) and a final project (due Monday, December 14 by 5PM). The following rules apply:

1. For the projects, you are allowed (but not mandatory) to form a team of up to three team members.
2. The project reports should be typesetted by word processer such as WordPerfect, LaTeX, etc., and in letter-size (8½in×11in) papers. Each report should have a cover page with title and name (or names of the team members) on it. It should contain a table of contents, main body, and appendices. The main body of a report should be divided in sections and be started with an introduction section and be ended with a summary section. Place only up to 3 key tables and up to 3 key graphs (a figure with multi-panels is considered only 1 graph) in the main body. Other relevant tables/graphs should be placed in the appendices. A minimum of 5 main-body pages is required for the term project reports and a minimum of 10 main-body pages is required for the final project report.
3. E-mail project computer codes with attachments to the instructor.

Grading

Homeworks	Term Projects	Final Project
45%	15% each	25%

Grading Scale

E	D	DC	C	CB	B	BA	A
below 50	50-55	56-60	61-70	71-75	76-84	85-89	90 or more

Incomplete Grades

University & Deparmental policy will be followed for incomplete grades.

Academic Integrity

You are responsible for making yourself aware of and understanding the policies and procedures in the Undergraduate and Graduate Catalogs that pertain to Academic Honesty. These policies include cheating, fabrication, falsification and forgery, multiple submission, plagiarism, complicity and computer misuse. [The policies can be found at http://catalog.wmich.edu under Academic Policies, Student Rights and Responsibilities.] If there is reason to believe you have been involved in academic dishonesty, you will be referred to the Office of Student Conduct. You will be given the opportunity to review the charge(s). If you believe you are not responsible, you will have the opportunity for a hearing. You should consult with your instructor if you are uncertain about an issue of academic honesty prior to the submission of an assignment or test. In addition, you're encouraged to visit http://osc.wmich.edu and www.wmich.edu/registrar to access the Code of Honor and general academic policies on such issues as diversity, religious observance, student disabilities, etc.

Tentative Topics

• Basic Data Step Programming and Basic Report Listing (13 lectures)
  1. SAS Language, SAS Files, SAS Data, Basic SAS system options (Chapters 1 & 2)
  2. SAS Log (Chapter 3)
  3. PROC PRINT, TITLE and FOOTNOTE statements, and the use of PROC SORT (Chapter 4)
  4. Creating SAS data sets and the use of FILENAME statement (Chapter 5)
  5. Reading raw data, three types of inputs (Chapters 17 & 18)
  6. Data step processing (Chapter 6)
  7. SAS date/time values (Chapter 19)
  8. Creating and managing variables, and conditional statements (Chapter 11)
  9. Reading SAS data set (Chapter 12)
  10. SAS functions and call routines (Chapter 14)
  11. PROC FORMAT (Chapter 7)
  12. PROC REPORT (Chapter 8)
  13. PROC MEANS and PROC FREQ (Chapter 9)
  14. Flow control (Chapter 15)
  15. Arrays (Chapter 16)
  16. Further topics in reading raw data files (Chapters 20, 21, & 22)
  17. Combining SAS data Sets (Chapter 13)
  18. Looking Back and Ahead Across Observations
  19. Logitudinal Data
• Output Delivery System, an introduction (Chapter 10) (two lectures)
• Procedures for Non-statistical Problems, Introduction (1 lecture)
  1. PROC UNIVARIATE
  2. PROC TABULATE
  3. PROC CHART and PROC PLOT
• Data Step Report Writing, Introduction (one lecture)
• Efficient Programming, Introduction (1 lecture)
• PROC SQL, an introduction (2 lectures)
• SAS Macros (6+ lectures)

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Use of Email:
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2009-09-04