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
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