| Lecture: |
This course consists of three parts: regression, design of experiments,
and |
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computer simulation. Tentative schedule is as follows: In part I, we
cover the simple and multiple linear regression and logistic regression
in the first four weeks. In part II, we review one-way ANOVA and continue
to two-way ANOVA, randomized block design, Latin square design and full
factorial design. In part III, we cover more computationally intensive
topics. For weekly schedule and exam dates, refer to http://www.math.ilstu.edu/dhkim/M356/sch356.html.
Lecture notes will be available on the course website. |
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| Homeworks: |
Homeworks are assigned at regular intervals. Each student is expected
to turn in |
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his/her work by the specified due date. On rare occasions, extension
of the due date is granted at the instructor's sole discretion. |
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| Lab: |
Friday classes are held in the computer room. Hands-on experience with
data are |
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emphasized. We use SPSS, SAS and R for computing and data analysis
purpose. Since this is a computing oriented course, syntax based programming
is strongly encouraged. Lab notes will be posted each week prior to the
class. |
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| Lab Quiz: |
Quiz problems are assigned in lab each week. Students are expected
to turn in the answers in timely manner. |
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| Grade: |
Letter grade does not follow a curve. If your grade is at least 90,
your letter grade is A; at least 80 and letter grade is B and so on. |
