Course Information for
University of Minnesota, Stat 5303
12:50pm-01:40pm MWF, ClaOff 143, St. Paul
LAB 2, 12:50pm-1:40pm T, ClaOff 135
LAB 3 1:55pm-2:45pm T, ClaOff 135
Spring Semester, 2005
The instructor is S. Weisberg, 146H ClaOff, 625-8777. Office
Hrs.: W 9-10 & M 3:30-4:30 (except for Jan. 24, 31). I can be
reached via email at sandy@stat.umn.edu, and will generally answer email
promptly. I will be in Minneapolis (362 Ford Hall, 5-8355) on
TuTh. The lab instructor and paper grader is Fujin Lu,
lu@stat.umn.edu. Her
office hours are Tu 3-4, in 133 ClaOff.
The required textbook is: George W. Cobb (1998). Introduction to Design and Analysis of Experiments. Emeryville,
CA: Key College Publishing, paperback.
We will do computing using the package JMP. A student
version of JMP, called JMP-In, is available in the
bookstore, but you do NOT required to buy it. You can do all
computing on a lab machine in 135 ClaOff. JMP-In is a
commercial product; you may not make a copy of it unless you buy
the package. The JMP-In package comes with a textbook
called JMP Start Statistics, which you might find useful,
particularly if the thought of doing statistical computing makes
you feel ill.
http://www.stat.umn.edu/~sandy/courses/5303. The homepage
will include copies of most/all handouts, and all data sets that
will be used in homework and in the class, and other useful
information. I will also have a class email list that I will use
to communicate with you.
Homework problems will be due in-class on Fridays beginning
January 28; a subset of the problems will be graded and returned
in lab. Late homework may not be graded. Working together on the
homework is acceptable, perhaps even encouraged. It is very
difficult to learn the material and pass this course without doing
the homework. We plan to make solutions for all problems available
in the Copy Center in the St. Paul Student Center.
Part of the grade for homework is for organization and
presentation of ideas. In particular, do not simply include a
slug of unannotated computer output; that will obtain little
credit. Include only the relevant output and comment about what
the output tells you. The goal is like a report to coworkers; you
don't have to teach us what you've done, but you do need to tell
us what you've done, why you did it, and what it means. We can't
read your mind.
| Exam |
Date |
| First Exam |
Friday, March 4, in class |
| Second Exam |
Friday, April 8, in class |
| Final Exam |
Friday, May 13, 8-10AM |
The final exam is scheduled a full week after the end of
classes.
All graduate students are required to complete a project. This
project will consist of two parts: (1) a very brief
description of your research area and (2) a description of an
experiment that you are doing as part of your research, and how
this course is relevant to your work. Up to six of you can
present your project orally, rather than written, with one each
Monday beginning March 28. This would require a 10 minute
presentation of your research area and your experiment, and 15
minutes of class discussion about your experiment. Those who do
the presentation will find it to be the highlight of the course,
possibly the highlight of the year. The six slots for oral
presentation will be allocated first come first served. All
others must submit a written project (five pages or less), due on
the last Monday of classes, May 2.
If you need help with the project, see me during office hours.
Undergraduates interested in honors credit need to complete a
project.
| Item |
Points |
| First Exam |
20 |
| Second Exam |
20 |
| Final Exam |
30 |
| Project |
10 |
| Homework |
20 |
The total number of points possible is 100 for graduates or honors
undergraduates and 90 for other undergraduates. Graduates and
undergraduates will be graded using different standards.
Sections will be held in the PC lab in room 135 ClaOff. Sections
will include worked examples, question and answer time, return of
homework, and instruction in JMP-In.
The course will follow the textbook.
S Weisberg
2005-01-18