• Project 1:    SPSS Syntax and CMS (see handout).    (Due Jan. 11, Tuesday)
• Project 2:    Exercise SAS data sets (see handout).    (Due Jan. 14 Friday)
• Project 3:    Use of INPUT Statement (see handout).    (Due Jan. 19 Wednesday)
• Project 4:    Subset and Mixed Records (see Test 1 handout).    (Due Jan. 26 Wednesday)
• Project 5:    Data Recoding and Displaying (see handout).    (Due Feb. 2 Wednesday)
• Project 6:    ARRAY and Image Processing (see handout).    (Due Feb. 11 Friday)
• Project T2: SAS Files Processing & Paired-Sample T-test (see handout).   (Due Feb. 14 Monday)
• Project 7:    Meta Analysis (see handout).    (Due Feb. 25 Friday)
• Project 8:    Simulation.   (Due March 14, Tuesday)

Course Credit: 4 q.h.

Course Prerequisite: STAT 601 or equivalent, and MATH 743, and CS 610 or equivalent, or consent of instructor.

Course Description: Computational methods used in statistics. Topics include generation and testing of random numbers, computer intensive methods and simulations.

Course Objectives: The advance of computational power and ease of use has put statistics in a new perspective. The use of technology provides useful solutions to many statistical problems where mathematical solutions simply do not exist. Large scale and computer intensive simulation is a major component in nearly every field of statistical research. The goals for students in the course include:

• developing an understanding of the fundamental concepts and theories in statistics, computer simulation and their applications.
• developing the ability to read and understand advanced mathematical and statistical definitions, theorems and proofs
• developing the ability to use various computing tools for theoretical research and real world data analysis
• preparing students for further study in probability and statistics

I. Gentle's Book
    1 Simulating Random Numbers from a Uniform Distribution
    2 Transformations of Uniform Deviates
    3 Simulating Random Numbers from Specific Distributions
    4 Generation of Random Samples and Permutations
    5 Monte Carlo Methods
    8 Monte Carlo Studies in Statistics

II. SAS® Language and Procedures: Chapter 1 - 39

III. Instructor's Note

(Software:  SAS, and the instructor may also use S-Plus, Fortran, IMSL, Maple or SPSS)

Grading:

90% to 100%         Þ A
80% to below 90% Þ at least a B
70% to below 80% Þ at least a C
60% to below 70% Þ at least a D
below 60%          Þ at most a D

• Your grade will be determined by your performance on exams, a comprehensive final and homework assignments which may include an oral or written project.
• Students who take this course for graduate credit will be expected to pursue the subject matter in greater depth than the undergraduate students. This may include extra reading assignments in advanced topics, extra projects, additional lectures, and discussion sessions with instructor.
• The last day to drop the course with a grade of "W" is: Saturday, February 12, 2000.
• Make-up tests will only be given to student who misses a test due to an extreme emergency and has notified the instructor within 24 hours after the exam, or a sufficient time period before the exam. The student will be expected to provide verification, such as signed statement and phone number, to verify the reason for his or her absence from the exam.
• Homework will be assigned and collected. Participating in group discussions is always helpful to yourself and others in learning. Each student must hand in their own write-up on time. If you are having trouble, please see me right away. I recommend that you work on the homework corresponding to the latest lecture as soon as it is assigned.
• It is expected that you will make every possible effort to attend all classes. In boarder line situations, class attendance may affect a students grade. However, no direct punishment will be assessed to your final grade if you choose not to attend class. Students who missed class are responsible for finding out any pertinent information concerning the course from the instructor.
• If you have any special problem or learning difficulties, please see me immediately.

The site, http://cact.ysu.edu has the newest version of Passport in a self-extracting zip file.  To download this file, click either on the Passport Image, or the "Download Passwin.exe" link on the lower half of the page.  To install this file double-click on the downloaded file, and then that should cause the file to extract.  Finally, a DOS window will quickly open, and when it says "finished" at the top, close the window, and restart the computer.  Now the new version of Passport has been installed.  This works if you have previously installed passport or not.  If there are any errors or concerns please call Media and Academic Computing at x3350 and ask for George Rester or Mike Graham.