EGE 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
DEN301	EXPERIMENT PLANNING AND CONSIDERATION IN AGRICULTURE	Elective	3	5	4

Level of Course Unit

First Cycle

Objectives of the Course

The purpose of this course is to give essential experimental design models, experimental analysis also it’s evaluations and applications to the students.

Name of Lecturer(s)

Prof. Dr. Önder ÇAYLAK

Learning Outcomes

1	1. Ability to comprehend importance of agricultural researches
2	2. Designing of researches and determination of the best model
3	3. to opine and to produce a solution for researches
4	4. to determine and to suggest for environment, genotypes/varieties to the growers
5	5. to gain and to comment with different viewpoint

Mode of Delivery

Face to Face

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

The main point in agricultural research is biological and mathematical models. These experiments should be interpreted based on principles of statistics. In this course, the statistical concepts and experimental designs which the researchers need are taught and interpretated.

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Introduction, Contents and Importance	None
2	Principles of experimental designs, planning, choosing trial areas, observations and measurements	Discussion
3	Replications, experimental designs, basic concepts for statistical terms	Solving problems in classroom
4	Single factorial designs: completely randomized design	Discussion
5	Single factorial designs: randomized complete block design and its interpretions	Discussion
6	Mean comparison methods (LSD and Duncan tests)	Solving problems in classroom
7	Orthogonal comparisons for doses	Solving problems in classroom
8	Midterm exam
9	Two factorial experimental designs: Simple factorial design and interaction	Solving problems in classroom
10	Two factorial experimental designs: Split plot designs	Solving problems in classroom
11	Mean comparison methods (LSD and Duncan tests) for two factors	Discussion
12	Three factorial experimental designs: Simple factorial design and interactions	Discussion
13	Three factorial experimental designs: Split split plots	Discussion
14	Interpretions of two and three way interactions	Solving problems in classroom
15	Mean comparison methods in three way interactions	Discussion
16	Final exam

Recommended or Required Reading

Açıkgöz, N., E. İlker, A. Gökçöl, 2004. Biyolojik Araştırmaların Bilgisayarda Değerlendirilmeleri. ISBN: 973-483-607-8 E.Ü. Tohum Teknolojisi Araştırma ve Uygulama Merkezi Yayın No:2 Bornova-İzmir Açıkgöz, N., 1994. Tarımda Araştırma ve Deneme Metodları, , Ege Üniv. Ziraat Fak Yay No. 478, İzmir. Steel, R.G.D and Torrie, J.H., 1981. Prensiples and procedures of statistics. Mc graw and HillInt. Editions.Aucland USA Cochran, W.G. and G.M. Cox, 1957. Experimental designs. II. Edition, John Wiley and sons Inc., Newyork.

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
SUM		0
End Of Term (or Year) Learning Activities	Quantity	Weight
SUM		0
SUM		0

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	6	6
Final Examination	1	10	10
Quiz	2	0.5	1
Attending Lectures	14	2	28
Practice	14	2	28
Team/Group Work	4	3	12
Self Study	3	4	12
Reading	3	6	18
TOTAL WORKLOAD (hours)			115

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6
LO1						4
LO2						4
LO3						3
LO4						4
LO5						4

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