COURSE UNIT TITLE

: STATISTICAL DESIGN AND EVALUATION OF EXPERIMENTS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ENV 5059 STATISTICAL DESIGN AND EVALUATION OF EXPERIMENTS ELECTIVE 3 0 0 6

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ILGI KARAPINAR

Offered to

Environmental Engineering
ENVIRONMENTAL ENGINEERING

Course Objective

The main objectives of the course are to introduce the statistical experimental design
methods, basic principles of performing the experiments and to describe the methods
used in the analysis of the data and in evaluation of the experimental results. The
basic statistical terms and calculations are defined and utilization of them in
experimental design methods are given. The application of the statistical experimental
design methods in main research areas of Environmental Engineering like biological and
chemical treatment of wastewater are discussed with the examples from the literature.

Learning Outcomes of the Course Unit

1   Define the basic statistical terms and calculations used in experimental design
2   State the types of the statistical experimental design methods
3   Describe the statistical methods used in the analysis of the data and in evaluation of data
4   Select the most suitable statistical experimental design method for the purpose
5   Develop conclusion about the statistical analysis of the experiments.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Statsitical Experimental Design Methdos
2 Basic Statistical Distributions
3 Hypothesis Testing
4 Experiments with a Single Factor: The Analysis of Variance
5 Simple Comparison Tests
6 Two Factor Factorial Design
7 2k Factorial Design
8 Fractional Factorial Design
9 3k Factorial Design
10 Response Surface Methods and Designs
11 Box-Wilson Experimental Design
12 Central Composite Design
13 Taguchi Experimental Design Plukket Burman Experimental Design
14 Examples from Literature

Recomended or Required Reading

TEXTBOOK: Montgomery, D. C. , Design and Analysis of Experiments, Jhon Willey and Sons,
1996.
REFERENCE BOOKS:
George E. P. BOX ,Norman R. DRAPER, Experimental Design,Response Surfaces,1987
Box, G.E.P, Hunter J.S., Hunter, W.G., Statistics for Experimenters; An Introduction to
Design, Data Analysis and Model Development , Jhon Willy & Sons , 1978.
Michael, S.L. Experimental Design and Methods. London Sage Publication, 1993
Hinkelmann, K., Kempthorne,O. Design and Analysis of

Planned Learning Activities and Teaching Methods

Application of basic principles of statistical experimental design methods are
introduced. Basic statistics and main statistical design methods used in designing the
experiments like factorial design, response surface method, and also evaluation of the
results are given. The applications of statistical experimental design methods to
Environmental Engineering are discussed with the examples.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE ASG * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Students will prepare a homework after each experimental design method explained. At
least 8 homeworks will be prsented in a term.

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Ilgi KAPDAN
Room Numebr: A 219
Tel: 03017130
e-mail: ilgi.karapinar@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Tutorials 14 3 42
Preparation for final exam 1 12 12
Preparing assignments 10 8 80
Final 1 5 5
TOTAL WORKLOAD (hours) 139

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.11
LO.21
LO.31
LO.41
LO.511