Department of Mathematics Statistics and Physics
College of Arts and Sciences
University of Qatar
Course Syllabus
Components
Stat 354
Design of Experiments
Spring 2010
By
Adil Yousif, Ph. D.
Adil Yousif
Design of Experiment
Course Information
Course Name: Design of Experiments
Course Number: STAT 354
Credit Hours: 3 Credit hrs
Prerequisites: Stat 258 (Applied Linear Regression)
Required Textbook: Montgomery, Douglas C., Design and Analysis of Experiments,
Seventh Edition, John Wiley &Sons, New York, ISBN 978-0-470-39882-1
Faculty Information:
Name: Adil Yousif, Ph. D.
Program: Statistics
Telephone: 4852163
E- Mail: aeyousif@qu.edu.qa
Website: http://faculty.qu.edu.qa/ayousif/
Office Number: E 207 (Corridor 5)
Office Hours: 9:00 – 10:00 a.m. (Sunday, Thursday), 10:00 -11:00(Tuesday) or by appointment
Course Description


Experiments with a Single Factor:
Basic concepts. One-Way classification Analysis of variance. Fixed effect models.
Random effect models. Model checking.


Randomized Blocks, Latin Squares and Related Designs:
The randomized complete block design. Latin squares and Greco-Latin squares
designs.

Incomplete block designs:
Balanced incomplete block designs.

Factorial designs:
Two-Way classification. Analysis of variance. Random and mixed models. 2k and 3k
factorial designs. Total confounding.

Multifactor Experiments:
The Split-Plot designs. Nested designs.

Analysis of covariance:
Analysis of covariance for randomized block designs.
Course Syllabus Components
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Academic Year 2009/2010
Design of Experiments
Adil Yousif
Course Objectives



To acquaint students with single factor experiments.
To introduce some special designs those have a wide variety of applications.
To acquaint students with factorial experiments and higher designs those have a wide
variety of applications.
Student Learning Outcomes

Students will be able to understand basic concept of design of experiment


Familiarize students with single factor experiments
Students will understand some special designs those have a wide variety of
applications.
Students will be able to conduct factorial design
Students will be able to investigate and analyze higher designs.
Students will be able to analyze experimental design data by using statistical
packages



Content Distribution
Topics
Weeks
Chapter one & two, Introduction and review of Basic Methods
Chapter three, Analysis of Variance
Assignments
1
2-4
Chapter four, Experimental Design with Blocking Factor
Assignment
s1&2
Assignment 3
5-6
Exam 1
Chapter five, Factorial Experiment
7-8
Assignment 4
Chapter six, Two Level Factorial Design
8-10
Exam 2
10- 11
Final Project
Instruction
Chapter seven , Blocking and Confounding System for Two-Level Factorial
Chapter eight, Two-Level Fractional Factorial Design
Final Exam (comprehensive)
Assignment 4
12-13
First Draft of
the project
13
Final Project
14
Delivery Methods



Class participation is encouraged and may be assessed for extra credit.
Small group in the lab and during in-class assignment is encouraged to emphasize
learning from and with others (pears education philosophy).
The final project for this course can be done by two students at most however
individual responsibility and presentation are expected.
Course Syllabus Components
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Academic Year 2009/2010
Design of Experiments
Adil Yousif


Experimental Learning – Students are expected to obtain a real life set of data from
Qatari Society and use it for their final project
Students should visit the Blackboard (Bb) on regular bases for more instructions and
materials. (assignment will be displayed on Bb only)
Learning Resources and Media
The primarily resources for this course are:
 The Text Book
 The classroom notes and materials passed out in class
 The statistical packages (SPSS and MINITAB) available in computer lab SA 201.
 Material displayed in the Bb
Assessment Policy and Tools
The course evaluation will be based on two tests (20% each), a comprehensive final
(35%), Lab project (15%), quizzes, home work and in-class assignments (10%).
Homework assignments will be given occasionally and collected in class on the due date.
A letter grade will be assigned based on the following scale
Percent Grading Scale
90 - 100
85 - 89
80 - 84
75 - 79
70 – 74
65 – 69
60 - 64
59 - 0
Letter Grad
A
B+
B
C+
C
D+
D
F
Final Exam and Tests:
Test I
Test II
Final Exam
Sunday March 28, 2010
Sunday May 02, 2010
Monday June 8, 2010, 8:00 a.m. - 10:00 a.m.
Test Policy:
Tests will be administered on the schedule dates as posted in the syllabus unless the whole
class agreed and signed a sheet to change the test date for a period of one week within the
posted date. No make up exam under any condition. If a student misses a test and provides
documents for genuine reasons the percentage of that test will be distributed over other tests,
(class work, home work assignments and lab project will not get part of these points). If a
student shows continuous progress through out the semester, the higher scores towards the
ends may get extra weights.
Course Syllabus Components
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Academic Year 2009/2010
Design of Experiments
Adil Yousif
If you have a preplanned trip overlapping with a test date e-mail me a description of the trip,
phone calls are NOT accepted.
Learning Activities and Tasks
Students should be held responsible for their own ongoing learning process such as: class
attendance, Homework assignments and lab assignments, Final Project, Presentation, Tests
and Final Exam.
Matrix of Objectives and Outcomes
OBJECTIVES
LEARNING OUTCOMES
Assessment
Tools
Exams
Familiarize students Assignments
with single factor
experiments
To acquaint students with
single factor experiments.
To introduce some special designs those
have a wide variety of applications
To acquaint students with
factorial experiments and higher
designs those have a wide
variety of applications
Exams
Assignments
Analyze various types
design experiment data
Use MINITAB and SPSS
for the analysis
Conduct real life studies
involving experimental
design data (preferring data
set from Qatar)
Case studies
Course project
Produce and interpret the
computer output of
various packages.
Building a solid theoretical background
for the subject.
Course Syllabus Components
Explain the theoretical
basis of the methods of
time series analysis
-4-
Exams
Assignments
Academic Year 2009/2010
Design of Experiments
Adil Yousif
Assignments Rubric
Total Score (20)
CATEGORY
Organization
Information is very
organized with
well-constructed
paragraphs and
subheadings.
4
Information is
organized with
well-constructed
paragraphs.
3
2
Information is
organized, but
paragraphs are not
well-constructed.
1
Amount of
Information
All topics are
addressed and all
questions
answered with at
least 2 sentences
about each.
All topics are
addressed and
most questions
answered with at
least 2 sentences
about each.
All topics are
addressed, and
most questions
answered with 1
sentence about
each.
One or more topics
were not
addressed.
Mechanics
No grammatical,
spelling or
punctuation errors.
Almost no
grammatical,
spelling or
punctuation errors
A few grammatical
spelling or
punctuation errors.
Many grammatical,
spelling, or
punctuation errors.
Diagrams &
Illustrations
Diagrams and
illustrations are
neat, accurate and
add to the reader's
understanding of
the topic.
Diagrams and
illustrations are
accurate and add
to the reader's
understanding of
the topic.
Diagrams and
illustrations are
neat and accurate
and sometimes
add to the reader's
understanding of
the topic.
Diagrams and
illustrations are not
accurate OR do not
add to the reader's
understanding of
the topic.
The information
appears to be
disorganized. 8)
Regulations

Attendance is mandatory and students with absence of more than 25% will be
deprived from taking final exam which result in a failing grade.
 Plagiarism and cheating are not tolerated and any student caught will be subject to the
university regulations;
 Late or missed assignments will have a zero score;
 Using of cell phones in class is prohibited and may results in dismissal from class.
P.S. Students with special needs are eligible for further help according to their needs. Please
arrange with me if you need such help
References and Additional Resources
1. Statistical Design and Analysis of Experiments.
Mason, Gunst and Hess, 2nd Edition, 2003, John Wiley and sons, Inc.
2. Statistics for Experimenters.
Box, Hunter and Hunter, 1st Edition, 1978, John Wiley and sons, Inc.
3. Fundamental Concepts in the Design of Experiments.
Charles Hicks, 5th Edition, 1999, Oxford University Press.
4. http://www.planning.gov.qa/
5. http://www.minitab.com/ltd/Products/minitab/default.aspx
Course Syllabus Components
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Academic Year 2009/2010