Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  9102015312004  Experimental Design in Horticulture  Compulsory  1  1  8 

Level of Course Unit 
Second Cycle 
Objectives of the Course 
The aim of this course is to give the students the ability to design experiments, collect data and understand the approaches in data analysis, and interpret the results in horticulture. 
Name of Lecturer(s) 
Assoc. Prof. Dr. Özlem TUNCAY 
Learning Outcomes 
1  The ability to collect data with the necessary precision  2  The ability to interpret the analysis results  3  The ability to design experiments in horticultural production and breeding  4  The ability to analyze collected data 

Mode of Delivery 
Face to Face 
Prerequisites and corequisities 
None 
Recommended Optional Programme Components 
None 
Course Contents 
Precision and accuracy of data, normal distribution, establishment of hypotesis and testing, analysis of variance, mean comparisons
Simple and multifactorial experimental designs, relationships between variables, analysis of counts.

Weekly Detailed Course Contents 

0  Data accuracy and precision
Normal distribution
Testing of normality
 Assisted problem solving   1  Transformations
Hypotheses testing
 Assisted problem solving   2  Designing experiments in horticulture, and important principles
Analysis of Variance (ANOVA)
 Assisted problem solving   3  Mean comparisons (LSD, Duncan, Tukey)  Assisted problem solving   4  The Completely Randomized Design  Assisted problem solving   5  The Randomized Complete Block Design  Assisted problem solving   6  Midterm exam  Assisted problem solving   7  The Latin Square Design  Assisted problem solving   8  Orthogonal Comparisons  Assisted problem solving   9  Factorial Experiments; Completeley Randomized Design  Assisted problem solving   10  Factorial Experiments: The Randomized Complete Block Design  Assisted problem solving   11  The SplitPlot Design  Assisted problem solving   12  The SplitSplitPlot Design  Assisted problem solving   13  Relationships between variables  Assisted problem solving   14  Analysis of Counts. ChiSquare  Assisted problem solving
Practise exam
  15  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 
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation" 
Assessment Methods and Criteria   Language of Instruction  Turkish  Work Placement(s)  None 

Workload Calculation 