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Course Description Course Name : Experimantal design Course Code : BBP355 Course Type : Optional Level of Course : First Cycle Year of Study : 3 Course Semester : Fall (16 Weeks) ECTS : 3 Name of Lecturer(s) : Prof.Dr. SEVGİ PAYDAŞ Learning Outcomes of the Course : To know principles of experimantal design Trial set up and execution Evaluate the data obtained The results of may report Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The aim of this course is to give information about planning of research, monitoring, testing, principles and reasons for selection of experimenatl designs and data analysis Course Contents : Course description and content, observation of experiment Arithmetic average, Geometric mean, Variance and standard deviation, The distribution of “t” and “chi square”, Transformations, Experiment Planning, Experimental arrangement, objectives, area selection, factors affecting number of repetition, The size and shape of the parcel, Gard row effects, the basis of analysis of variance, F control, LSD, Randomized experimental design, Randomized complete block experimental design, Latin square, Factorial Experiments, Split split plot design, Regressions, Correlations Language of Instruction : Turkish Work Place : Classrooms of Department of Horticulture, Faculty of Agriculture, University of Cukurova   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Course description and content, observation of experiment Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 2 Arithmetic average Geometric mean Mod Variance and standard deviation Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 3 The distribution of “t” and “chi square” Transformations Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 4 Experiment Planning Experiment the arrangement, objectives, area selection Factors affecting number of repetition Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 5 Experimantal error The size and shape of the parcel Gard row effects Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 6 The basis of analysis of variance F control LSD Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 7 Randomized experimental design Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 8 Randomized complete block experimental design Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 9 Mid-term exam Preparation to mid-term exam Written examination 10 Latin square Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 11 Factorial Experiments Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 12 Split split plot design Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 13 Regressions Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 14 Correlations Reading of the papers about the lecture Straight narrative technique, power point presentation and discussion 15 Solving problems Preparation of problems about lecture subjects Practical work 16/17 Final exam Preparation to final exam Written examination   Required Course Resources Resource Type Resource Name Recommended Course Material(s)   Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 1 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 To have sufficient theoretical knowledge in basic engineering and agricultural engineering 2 2 To have sufficient theoretical knowledge in basic horticulture and also fruit, vegetable, vitis and ornamental growing and breeding subjects 1 3 To have technical kknowledge in subjects related to horticulture 1 4 Finding the source of environmental, biological, technical and economical problems in horticulture those reduce yield and quality and developing solutions based on researches 3 5 To define, entitle and grow fruit, vegetable, vineyard and ornamentals 1 6 Breeding in Horticulture, developing new cultivars and producing propagation materials of new developed varieties 3 7 Using and applying biotechnology in horticulture 1 8 Applying methods for preserving genetic resources and environment for sustainable usage in horticulture 1 9 Irrigation, fertilization, defining pests and diseases, considering and assaying changes after post-harvest storage in horticulture 4 10 Obatining data in horticulture, researching, considering, recording, consulting and expert ability, project writing and applying 5 11 Recognizing different roles those enchance the individual skills and undertaking role as a member of the work team and having skills in terms of team work under different conditions 4 12 Accessing to the relevant information for the purpose, analytical thinking and planning, questioning, having an exploratory and creative vision and using the obtained knowledge for the benefit of society 5 13 Transfering knowledge to filed working people with different levels, concacting, data presenting. Moreover updating theirselves in terms of science, culture, art and social areas regarding their individual interest and skills. 4 14 Establishing-managing orchards, greenhouses and vineyards 2 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 2 28     Out of Class Study (Preliminary Work, Practice) 14 2 28 Assesment Related Works     Homeworks, Projects, Others 1 2 2     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 10 10 Total Workload: 78 Total Workload / 25 (h): 3.12 ECTS Credit: 3