Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
DEN301EXPERIMENT PLANNING AND CONSIDERATION IN AGRICULTUREElective354
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
11. Ability to comprehend importance of agricultural researches
22. Designing of researches and determination of the best model
33. to opine and to produce a solution for researches
44. to determine and to suggest for environment, genotypes/varieties to the growers
55. 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
WeekTheoreticalPracticeLaboratory
1Introduction, Contents and Importance None
2Principles of experimental designs, planning, choosing trial areas, observations and measurements Discussion
3Replications, experimental designs, basic concepts for statistical terms Solving problems in classroom
4Single factorial designs: completely randomized design Discussion
5Single factorial designs: randomized complete block design and its interpretions Discussion
6Mean comparison methods (LSD and Duncan tests) Solving problems in classroom
7Orthogonal comparisons for doses Solving problems in classroom
8Midterm exam
9Two factorial experimental designs: Simple factorial design and interaction Solving problems in classroom
10Two factorial experimental designs: Split plot designs Solving problems in classroom
11Mean comparison methods (LSD and Duncan tests) for two factorsDiscussion
12Three factorial experimental designs: Simple factorial design and interactions Discussion
13Three factorial experimental designs: Split split plots Discussion
14Interpretions of two and three way interactionsSolving problems in classroom
15Mean comparison methods in three way interactionsDiscussion
16Final 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 ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination166
Final Examination11010
Quiz20.51
Attending Lectures14228
Practice14228
Team/Group Work4312
Self Study3412
Reading3618
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
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr