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Course Description Course Name : Statistics Course Code : BKP106 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 : BKP106 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, plant protection belong to the trials, the resulting data easily by using the methods in the analysis of statistics to ensure they learn in class. Course Contents : The course includes the methods and interpretation of results of statistical analysis. Language of Instruction : Turkish Work Place : The Class   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 2 hours lecture, 1 hour question solution 2 Classification of data and graphics The course workbook related topics 2 hours lecture, 1 hour question solution 3 Place The Measures The course workbook related topics 2 hours lecture, 1 hour question solution 4 Distribution The Measures The course workbook related topics 2 hours lecture, 1 hour question solution 5 Discrete Probability Distribitution The course workbook related topics 2 hours lecture, 1 hour question solution 6 Normal Distribitution The course workbook related topics 2 hours lecture, 1 hour question solution 7 Standard Normal Distribitution The course workbook related topics 2 hours lecture, 1 hour question solution 8 Confidence Interval The course workbook related topics 2 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 2 hours lecture, 1 hour question solution 11 Averages and proportions related to hypothesis tests The course workbook related topics 2 hours lecture, 1 hour question solution 12 Khi-square analysis The course workbook related topics 2 hours lecture, 1 hour question solution 13 Regression Analysis The course workbook related topics 2 hours lecture, 1 hour question solution 14 Correlation Analysis The course workbook related topics 2 hours lecture, 1 hour question solution 15 General evalution The course workbook related topics 2 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.   Kayaalp, G.T. ve Çankaya, S. 2008. Statistics. Çukurova University Agricultural Faculty Publication. Publication No : 258  Akar, M. ve Şahinler, S. 1993.Statistics. Çukurova University Agricultural Faculty Publication. Publication No : 74 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 Gain the sufficient equipment to determine the challenges about the diseases, pests and weeds in plant health and identify those agents. 0 2 Decide to the best and economic strategy by using knowledge to solve the challenges in plant protection and keep safe the protection of natural and sustainable sources. 0 3 Gain the ability to communicate with farmers and organizations dealing with agriculture and be able to teach his professionals to them 0 4 Provides to apply practical control strategies safely and interpret the results; prescribe the pesticides in case of using chemical control. 0 5 Obtain the skill to choose and use modern technical tools in plant protection. 3 6 Skills on using a laboratory, identifying of the diseases, pests or weeds in laboratory conditions, analyzing, determination and interpret of the results and prepare reports. 0 7 Acqure the competence to be respectful to the professional ethics, to understand the plant protection challenges within the legal legislations and improve strategies to cope with them 0 8 Easily reaches to information on plant protection by using qualified Technologies and combine them with its knowledge to prepare written or oral presentations. 3 9 Gain the skills to catch and analyze the basic methods of the scientific researches 5 10 Gain the ability to work lonely or with a team, responsibility in professional ethics and safety in applications. 2 11 Learn the basic plant protection topics such as biology, ecology, systematic, control strategies of agents causing economical losses in cultivation 0 12 Students have the sufficient knowledge about agricultural engineering in general and also, plant protection area in private 2 13 Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improves itself by identifying training needs 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) 14 2 28     Out of Class Study (Preliminary Work, Practice) 14 2 28 Assesment Related Works     Homeworks, Projects, Others 2 3 6     Mid-term Exams (Written, Oral, etc.) 1 4 4     Final Exam 1 9 9 Total Workload: 75 Total Workload / 25 (h): 3 ECTS Credit: 3