
Course
Goals
At the end of the
course students should develop a deep understanding
of the importance of Design for any scientific experiment. In
particular one should have detailed knowledge of Randomized blocks,
Latin and GraecoLatin squares, factorial arrangements with confounding
and fractional replication, splitplot, crossover, and response surface
designs. Treatment of missing data, group sizes, relative efficiency,
and relationship between design and analysis will also be discussed.
Students should also be able to use one software package (
R/Minitab/SAS) for constructing experimental designs and analyzing data
collected using those designs.



Syllabus
0. Basic principles
and introduction to regression analysis (Chapter 2)
1. Experiments with a single factor, analysis of variance (Chapter 3)
2. Experiments with more than one factor, blocking, Latin squares,
analysis of variance and covariance, random effects models, other
analysis techniques (Chapeter 4)
3. General factorial design, analysis of 2k factorial design,
confounding in 2k factorial design, 3k factorial design, nested
factorial design, splitplot factorial experiment. (Chapter 58)
5. Threelevel designs (Chapter 9)
6. Brief introduction to response surface methodology (Chapter 11)



Text
Book




Internet
Resources
 “An R companion to ‘Experimental Design’ ”
by Vikneswaran (PDF).
 “An Introduction to S and the Hmisc and
Design Libraries” by Carlos Alzola and Frank E. Harrell,
especially of interest to users of the Hmisc or Design packages, or R
users interested in data manipulation, recoding, etc. (PDF)



Grading
Policies
HOMEWORK :Homework
will be assigned regularly during the course
and a due date will be announced. No late homework will be accepted. To
receive full credit for your solutions of the homework problems, all
works must be shown.
EXAMINATIONS: There will be two midterms and one
final. Policy
regarding the exams will be announced later. All exams are required and
there will be no make up exam. Schedule of Exams will be announced
later.
GRADE DISTRIBUTION
 HOMEWORK 20%
 MIDTERM I 25%
 MIDTERM II 25%
 FINAL 30%

