COURSE UNIT TITLE

: STATISTICAL EXPERIMENTAL DESIGN METHODS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ÇEV 4096 STATISTICAL EXPERIMENTAL DESIGN METHODS ELECTIVE 2 0 0 2

Offered By

Environmental Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ILGI KARAPINAR

Offered to

Environmental Engineering

Course Objective

The main objective of the course to introduce basic statististics, statiscial methods used in designinig experiments, the major control parameters to be concerned in conducting experiements related with Environmental Engineering and finally statistical analysis and evaluation of experimental results.

Learning Outcomes of the Course Unit

1   Define the basic statistics used in experimental design methods
2   Select the design methods based on number of factor and number of experiments
3   Statistically analyse the desig methods used to decrease number of experiments
4   Define optimization methods
5   Solve statiscal design methods by useng softwares
6   Evalute the statiscal results 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 and basic statistics
2 Single factor experiment
3 Two factor experiments
4 2k Factoriyel Design
5 2k Factoriyel Design
6 ½ Fractional Factoriel Design
7 Midterm Exam
8 D-Optimal Design
9 Simplex Lattice Design
10 RSM: Box-Wilson Experimental Design Method
11 RSM: Box- Bencken Experimental Design Method
12 RSM:Central Composite Experimental Design Method
13 Taguchi Experimental Design Method
14 Plakcet-Burmen Experimental Design Method

Recomended or Required Reading

Montgomery, D. C. , Design and Analysis of Experiments, Jhon Willey and
Sons, 1996.

III. 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 Experiments: Introduction to
Experimental Design, Jhon Willey and Sons, 1994

Planned Learning Activities and Teaching Methods

Lectures, solving examples in class and by useing softwares

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE*0.20+ASG *0.30+FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE*0.20+ASG *0.30+RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Students must prepare homeworks for each statiscal experiimental design method expalined in the lectures.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Ilgi KAPDAN
Room Number : A219
Tel:3127130
e-mail: ilgi.karapinar@deu.edu.tr

Office Hours

Fridays at 10:00-12:00 o' clock

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparation for midterm exam 1 2 2
Preparing assignments 10 2 20
Preparation for final exam 1 3 3
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 57

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17PO.18PO.19PO.20
LO.15
LO.25
LO.35
LO.45
LO.55
LO.65