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Course Description Course Name : Statistics Course Code : BBP106 Course Type : Compulsory Level of Course : First Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 3 Name of Lecturer(s) : Prof.Dr. G.TAMER KAYAALP Learning Outcomes of the Course : 1) Basic statistical analysis methods knows and interpretation of analysis results. 2) Analysis and synthesis making methods. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : BBP106 Statistics Recommended Optional Programme Components : None Aim(s) of Course : The aim of this course is to provide students with basic statistics on the importance of statistics and provide a deeper understanding of the value of the knowledge of the various statistical analyses and provide the ability to which analysis can be done to improve the capabilities of decision making about which purpose, the students after graduation garden in an attempt to learn the lesson easily using the resulting data to provide statistical methods to analyze. Course Contents : The course includes the methods and interpretation of results of statistical analysis. Language of Instruction : Turkish Work Place : The Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Basic Statistical concepts and Notations The course workbook related topics 1 hours lecture, 1 hour question solution 2 Classification of data and graphics The course workbook related topics 1 hours lecture, 1 hour question solution 3 Place The Measures The course workbook related topics 1 hours lecture, 1 hour question solution 4 Distribution The Measures The course workbook related topics 1 hours lecture, 1 hour question solution 5 Discrete Probability Distribitution The course workbook related topics 1 hours lecture, 1 hour question solution 6 Normal Distribitution The course workbook related topics 1 hours lecture, 1 hour question solution 7 Standard Normal Distribitution The course workbook related topics 1 hours lecture, 1 hour question solution 8 Confidence Interval The course workbook related topics 1 hours lecture, 1 hour question solution 9 MidTerm Exam The course workbook related topics 10 Hypothesis testing and error types The course workbook related topics 1 hours lecture, 1 hour question solution 11 Averages and proportions related to hypothesis tests The course workbook related topics 1 hours lecture, 1 hour question solution 12 Khi-square analysis The course workbook related topics 1 hours lecture, 1 hour question solution 13 Regression Analysis The course workbook related topics 1 hours lecture, 1 hour question solution 14 Correlation Analysis The course workbook related topics 1 hours lecture, 1 hour question solution 15 General evalution The course workbook related topics 1 hours lecture, 1 hour question solution 16/17 END-OF-YEAR EXAM The course workbook related topics   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Yıldız, N. ve Bircan, H. 1995. Statistics. Atatürk University Agricultural Faculty Publication.  Akar, M. ve Şahinler, S. 1993.Statistics. Çukurova University Agricultural Faculty Publication. Publication No : 74  Kayaalp, G.T. ve Çankaya, S. 2008. Statistics. Çukurova University Agricultural Faculty Publication. Publication No : 258 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 40     Homeworks/Projects/Others 2 60 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 3 2 To have sufficient theoretical knowledge in basic horticulture and also fruit, vegetable, vitis and ornamental growing and breeding subjects 0 3 To have technical kknowledge in subjects related to horticulture 3 4 Finding the source of environmental, biological, technical and economical problems in horticulture those reduce yield and quality and developing solutions based on researches 0 5 To define, entitle and grow fruit, vegetable, vineyard and ornamentals 0 6 Breeding in Horticulture, developing new cultivars and producing propagation materials of new developed varieties 0 7 Using and applying biotechnology in horticulture 0 8 Applying methods for preserving genetic resources and environment for sustainable usage in horticulture 0 9 Irrigation, fertilization, defining pests and diseases, considering and assaying changes after post-harvest storage in horticulture 0 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 0 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 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) 15 2 30     Out of Class Study (Preliminary Work, Practice) 15 2 30 Assesment Related Works     Homeworks, Projects, Others 2 3 6     Mid-term Exams (Written, Oral, etc.) 1 8 8     Final Exam 1 10 10 Total Workload: 84 Total Workload / 25 (h): 3.36 ECTS Credit: 3