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Course Description Course Name : Statistics Course Code : ZTP106 Course Type : Compulsory Level of Course : First Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 4 Name of Lecturer(s) : Prof.Dr. G.TAMER KAYAALP Learning Outcomes of the Course : 1)Knows basic statistical analysis methods and interpretation of analysis results. 2)Knows analysis and synthesis methods. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : ZTP106 Statistics Recommended Optional Programme Components : None Aim(s) of Course : The aim of this course is to give students the basic statistical information to analyze the figures obtained in the trials of livestock by using the statistical methods learnt in the lessons after they graduate. 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 Related topics in the coursebook 2 hours lecture, 1 hour problem solving 2 Classification of data and graphics Related topics in the coursebook 2 hours lecture, 1 hour problem solving 3 Location Measures Related topics in the coursebook 2 hours lecture, 1 hour problem solving 4 Distribution The Measures Related topics in the coursebook 2 hours lecture, 1 hour problem solving 5 Distribution of Discrete Probability Related topics in the coursebook 2 hours lecture, 1 hour problem solving 6 Normal Distribitution Related topics in the coursebook 2 hours lecture, 1 hour problem solving 7 Standard Normal Distribitution Related topics in the coursebook 2 hours lecture, 1 hour problem solving 8 Confidence Intervals Related topics in the coursebook 2 hours lecture, 1 hour problem solving 9 MidTerm Exam Related topics in the coursebook written exam 10 Hypothesis testing and error types Related topics in the coursebook 2 hours lecture, 1 hour problem solving 11 Averages and proportions related to hypothesis tests Related topics in the coursebook 2 hours lecture, 1 hour problem solving 12 Khi-square analysis Related topics in the coursebook 2 hours lecture, 1 hour problem solving 13 Regression Analysis Related topics in the coursebook 2 hours lecture, 1 hour problem solving 14 Correlation Analysis Related topics in the coursebook 2 hours lecture, 1 hour problem solving 15 General evalution Related topics in the coursebook 2 hours lecture, 1 hour problem solving 16/17 Final Exam Related topics in the coursebook written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)   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  Yıldız, N. ve Bircan, H. 1995. Statistics. Atatürk University Agricultural Faculty Publication. 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 1 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 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) 15 3 45     Out of Class Study (Preliminary Work, Practice) 15 3 45 Assesment Related Works     Homeworks, Projects, Others 1 3 3     Mid-term Exams (Written, Oral, etc.) 1 8 8     Final Exam 1 10 10 Total Workload: 111 Total Workload / 25 (h): 4.44 ECTS Credit: 4