Iğdır University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
9900001000	EXPERIMENTAL DESIGN	Compulsory	3	5	4

Level of Course Unit

First Cycle

Objectives of the Course

The first goal of this course will be to stress the critical importance of planning before data is ever collected. The second goal will be to maximize inference from that data with sound statistical techniques. It will aid students from any discipline that requires designing, implementing, analyzing, and reporting their research. It is also important that you understand the underlying concepts. It is the underlying concepts which will allow you to handle situations not specifically covered in the course.

Name of Lecturer(s)

Learning Outcomes

1	to identify various paradigms for conducting research
2	to identify each of the steps involved in the development of a research project
3	to conduct an observational or experimental study

Mode of Delivery

Daytime Class

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

The course is designed for students who have the knowledge of basic statistical concepts. It covers the essential concepts related to research design and statistical analysis of data that practitioners need to become critical evaluators of research and prepare for conducting research in their practices. The major uses of statistics by researchers, including regression analysis, design of experiment and analysis of variance, are covered.

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Principles of Experimental Design Experimental Error Replication and Parallel Comparison of independent two groups
2	F-Distribution and Analysis of Variance (ANOVA) Randomised Plot Design (One-way ANOVA) Solution and interpretation of samples related to the topics.
3	Multiple Comparison Methods Least Significant Difference (LSD) s test Duncan's test Solution and interpretation of samples related to the topics.
4	F = t2 relation Assumptions on Analysis of Variance Homogeneity Tests on Analysis of Variance Bartlett- Chi-Square statistic Solution and interpretation of samples related to the topics.
5	Randomised Block Design Latin Square Design Relative efficiency-Missing Observations Solution and interpretation of samples related to the topics.
6	Factorial Experiments (Multi-way Factorials) Factorial Experiments at Randomised Plot Design Solution and interpretation of samples related to the topics.
7	Interaction concept Solution and interpretation of samples related to the topics.
8	Factorial Experiments at Randomised Block Design Solution and interpretation of samples related to the topics.
9	Midterm Exam
10	Factorial Experiments at Randomised Block Design Solution and interpretation of samples related to the topics.
11	Split plot design at Randomised Block Design Solution and interpretation of samples related to the topics.
12	Split plot design at Randomised Block Design Solution and interpretation of samples related to the topics.
13	Repeated Measures Designs One-Factor Repeated Measures Design Solution and interpretation of samples related to the topics.
14	Repeated Measures Designs Two-Factor-Repeated Measures Design Solution and interpretation of samples related to the topics.
15	Repeated Measures Designs Two-Factor-Repeated Measures Design Solution and interpretation of samples related to the topics.
16	Final Exam

Recommended or Required Reading

1. Püskülcü, H., İkiz, F., Eren, Ş. 2006. İstatistiğe Giriş. Barış Yayınları, Fakülteler Kitabevi, İzmir. 2. Düzgüneş, O.; Kesici, T.; Kavuncu, O.; Gürbüz, F. 1987. Araştırma ve Deneme Metotları. Ankara Üniversitesi Ziraat Fakültesi Yayınları: 1021, Ders Kitabı: 295, Ankara. 3. Little, T.M.; Hills, F.J., 1972. Statistical Methods in Agricultural Research. University of California. 4. Bek, Y., Efe, E., 1989. Araştırma ve Deneme Metodları. Çukurova Üniversitesi, Ziraat Fakültesi Ders Kitabı, No: 71, Adana.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	1	1
Final Examination	1	2	2
Self Study	10	8	80
Individual Study for Mid term Examination	1	10	10
Individual Study for Final Examination	1	20	20
Homework	1	10	10
TOTAL WORKLOAD (hours)			123

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7
LO1			1
LO2					3
LO3				2

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High