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Course Description Course Name : Computer-aided Agricultural statistical analysis 2 Course Code : ZTP362 Course Type : Optional Level of Course : First Cycle Year of Study : 3 Course Semester : Spring (16 Weeks) ECTS : 3 Name of Lecturer(s) : Prof.Dr. G.TAMER KAYAALP Learning Outcomes of the Course : Learn the methods of Planning and statistical analysis for agricultural Experiments. Learns to interpret the statistical analyses of data obtained from agricultural experiments by SPSS package program Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : ZTP106 Statistics ZTP209 Experimantal Design Methods ZTP355 Computer-Aided Agricultural Statistical Analysis I Recommended Optional Programme Components : None Aim(s) of Course : This lesson aims to give information about planning of agricultural research and experiments and the interpretation of the analysis.It also teaches the use of the SPSS statistical package Program. Course Contents : The contents of the course are the establishment and planning of agricultural Experiments, analysis and interpretation of statistics using SPSS package program. Language of Instruction : Turkish Work Place : Computer Lab   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 SPSS package program description and data entry Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 2 Homogeneity Of Variance Tests Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 3 One-way Analysis Of Variance Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 4 Multiple Comparison Tests Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 5 Transformations Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 6 Randomazed Blocks Designs Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 7 Repeated Randomized Blocks Designs Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 8 Latin Square Experimental Design Source books and SPSS package program-driven narrative. 9 Mid-Term Exam Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 10 Nested Classifacition Experimental Design with Two Factors Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 11 Nested Classifacition Experimental Design with Three Factors Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 12 2 X 2 Factorial Design Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 13 Factorial Design at Randomized Blocks Design Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 14 Splite Plot Experimental Design Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 15 General Evaluation Source books and SPSS package program-driven narrative. 2-hour Theoretical lecture on a subject that is described in the computer program; 1 hour SPSS application 16/17 SEMESTER FINAL EXAM Source books and SPSS package program-driven narrative. none   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Kayaalp, G.T. and Yıldırım,N. 2010. Experimental Design Methods.Department of agriculture faculty General Publication No. 282. Adana  Efe, E, Bek, Y and Sahin, m., 2000. SPSS ´ in Solutions With Statistical Methods II. Sütçü İmam University Publication No: 73. Kahramanmaras. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 30     Homeworks/Projects/Others 2 70 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 Has information on alternative production systems 0 2 Has information on basic characteristics (anatomic, morphologic,physiological and biological) of farm animals, has information on planning animal housing for environmental aspects and animal species, about forage production and storage for environmental conditions and different species, making plans about animal breeding. 0 3 Has genetic and statistical information which can be the basis of animal improvement .Has adequate knowledge of industrial animal farming. 5 4 Uses IT to get new information in animal production 5 5 Transfers knowledge to people who work in the field at various levels, has communication skills,has the self -confidence in providing information and following technical developments. 0 6 Finds the reasons of the technical and economical problems that can adversely affect the quality and capacity levels desired in Animal Science and develops solutions. 0 7 To get technical knowledge in his/her field 0 8 -Trains qualified zootechnicians to fulfill the needs of Turkey 4 9 Obtains information in the field of Animal Science, researches, evaluates, records,consults,plans projects and applies. 0 10 Knows the techniques in Animal Breeding and applies. Has information about small cattle raising and poultry farming and nutrition and applies.Transfers genetic and statistical information that can be the basis of animal breeding to animal production. 0 * 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) 16 3 48     Out of Class Study (Preliminary Work, Practice) 12 2 24 Assesment Related Works     Homeworks, Projects, Others 2 2 4     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 80 Total Workload / 25 (h): 3.2 ECTS Credit: 3