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Course Description Course Name : Applied Regression Analysis Course Code : ZO-512 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. G.TAMER KAYAALP Learning Outcomes of the Course : Learns the theory of regression analysis Learns how to analyze through MINITAB and SPSS program Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Regression analysis to agricultural and biological warfare unit is a frequently applied statistical data. The aim of this course is to inform the students about where this method is applied. Course Contents : This course covers simple linear regression models and multiple regression analysis methods. 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 Simple Linear Regression Estimates Reading Source Book Presentation and practice of SPSS and MINITAB program 2 Correlation Coefficient Reading Source Book Presentation and practice of SPSS and MINITAB program 3 Parameters Estimation by using Matrix Notation Reading Source Book Presentation and practice of SPSS and MINITAB program 4 Multiple correlation coefficient ranking belongs to severity tests Reading Source Book Presentation and practice of SPSS and MINITAB program 5 Multiple Links Reading Source Book Presentation and practice of SPSS and MINITAB program 6 Standarization Reading Source Book Presentation and practice of SPSS and MINITAB program 7 Mid Term Exam Reading Source Book 8 Ridge Regression Reading Source Book Presentation and practice of SPSS and MINITAB program 9 Durbin Watson Coefficient Reading Source Book Presentation and practice of SPSS and MINITAB program 10 Canonic Correlation Reading Source Book Presentation and practice of SPSS and MINITAB program 11 General Evaluation Reading Source Book Presentation and practice of SPSS and MINITAB program 12 Project Presantation Reading Source Book Presentation and practice of SPSS and MINITAB program 13 Project Presantation Reading Source Book Presentation and practice of SPSS and MINITAB program 14 Project Presantation Reading Source Book Presentation and practice of SPSS and MINITAB program 15 Project Presantation Reading Source Book Presentation and practice of SPSS and MINITAB program 16/17 End Of Year Exam Reading Source Book none   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Draper and Smith.1992. Applied Regression Analyses. John Wiley and Sons. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 80     Homeworks/Projects/Others 6 20 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 At the end of this programme, the students improve and deepen their knowledge in the field of Animal Science by building on the knowledge and competence acquired at the undergraduate level and can employ interdisciplinary interaction in their field of study. 0 2 The students interpret and generate new information and theories in specific fields related to Animal Science using the theoretical and practical knowledge at masters level. Also, they can reveal the cause-effect relationship regarding the problems in their field of study and employ scientific research methods to generate possible solutions. 5 3 The students independently identify potential problems and carry out research studies aiming at solutions in the field of Animal Science. Also, they investigate and develop strategic approaches for potential problems that may arise related to the particular studies. 0 4 The students access and compile information about the latest developments and fundamental sources in the particular field and reach a new synthesis by evaluating and interpreting the existing research. They can make use of this acquired knowledge to practice the profession effectively and follow the improving implementations in the field. 0 5 The students use information in the field of Animal Science, through compiling, interpreting and synthesising it, in order to make social contributions. They make evaluations by creating a plan and framework and taking specific total quality criteria into consideration. They use the skills and knowledge acquired in the field of Animal Science in joint projects with other disciplines. 5 6 The students discuss and pass on the acquired knowledge based on their work in the field by making written and oral presentations. They have speaking and writing competence in at least one foreign language at a level that enables them to keep up with the requirements of the age. They express their ideas clearly using the tools of information and communication technologies. 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) 10 3 30     Out of Class Study (Preliminary Work, Practice) 10 6 60 Assesment Related Works     Homeworks, Projects, Others 6 8 48     Mid-term Exams (Written, Oral, etc.) 1 4 4     Final Exam 1 4 4 Total Workload: 146 Total Workload / 25 (h): 5.84 ECTS Credit: 6