COURSE UNIT TITLE

: STATISTICAL DESIGN OF EXPERIMENT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 3032 STATISTICAL DESIGN OF EXPERIMENT COMPULSORY 4 0 0 6

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR SELMA GÜRLER

Offered to

Statistics
Statistics(Evening)

Course Objective

To make students to learn basic concepts and principles of design of experiment, to learn types of designs, to learn analysis of variances and multiple comparison methods of treatment means.

Learning Outcomes of the Course Unit

1   To describe basic concepts and principles of design of experiment
2   To construct ANOVA table for completely randomized design model
3   To examine analysis of variance assumptions and residual analysis
4   To make multiple comparisons between treatment means
5   To construct ANOVA table for randomized complete block design model
6   To fit two-way ANOVA model and to construct ANOVA table
7   To test the interaction effect for two-way ANOVA model

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts and principles of design of experiment
2 Steps for experimental design
3 Completely randomized design of experiment
4 One-way analysis of variances model and ANOVA table
5 Random effects model
6 Multiple comparison methods for significant differences between treatment means
7 Examining assmptions of analysis of variances
8 Residual analysis for one way ANOVA
9 Randomized complete block design
10 Two-way analysis of variance model and ANOVA table
11 Latin squares design
12 Factorial designs
13 Analysis of variances model in factorial design and ANOVA table
14 Discussion of the Interaction effect

Recomended or Required Reading

Textbook(s): Şenoğlu B, and Acıtaş, Ş. Istatistiksel Deney Tasarımı Sabit Etkili Modeller. Nobel Yayın Dağıtım, 2010
Monthgomery, D.C. Desing and Analysis of Experiments, 8th Edition, John Wiley & Sons, 2012

Planned Learning Activities and Teaching Methods

Lecture format, built around the textbook readings and computer applications with numerous examples chosen to illustrate theoretical concepts. Lots of drill with emphasis on practice. Questions are encouraged and discussion of material stressed.
Lecture and problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.20 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.20 + RST * 0.40


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

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of Homework and Exams

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: selma.erdogan@deu.edu.tr
Tel: 0232 301 85 98

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 24 24
Preparation for final exam 1 35 35
Preparing assignments 2 4 8
Preperation for Quizes 2 3 6
Final 1 2 2
Midterm 1 2 2
Quiz 2 1 2
TOTAL WORKLOAD (hours) 149

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.15544
LO.25544
LO.35544
LO.45544
LO.55544
LO.65544
LO.75544