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Course Description Course Name : Special Area Course Course Code : YLISB-203 Course Type : Compulsory Level of Course : Second Cycle Year of Study : 2 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. SADULLAH SAKALLIOĞLU Prof.Dr. SELAHATTİN KAÇIRANLAR Assoc.Prof.Dr. ALİ İHSANGENÇ Assoc.Prof.Dr. MAHMUDE REVAN ÖZKALE Assoc.Prof.Dr. GÜZİN YÜKSEL Assoc.Prof.Dr. DENİZ ÜNAL Asst.Prof.Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY Learning Outcomes of the Course : Know the basic principles of conducting a scientific research. Have the ability to know the methods of accessing the neccessary information and interpret the information. Have the ability to write and present his or her research in accordance with scientific rules and principles. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : This course aims to provide the knowledge required to be an expert and the skills required to present the research techniques and results in accordance with scientific methods. Course Contents : Examination of the books and the articles related to the field of expertise Language of Instruction : Turkish Work Place : Seminar room at the Deparment of Statistics   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 2 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 3 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 4 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 5 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 6 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 7 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 8 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 9 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 10 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 11 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 12 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 13 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 14 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 15 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise 16/17 Selection of books and articles about the study and review Reading the references Lecture, discussion and practise   Required Course Resources Resource Type Resource Name Recommended Course Material(s)   Books, articles and other scientific documents related to the field. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 0 100     Homeworks/Projects/Others 0 0 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 Possess advanced level of theoretical and applicable knowledge in the field of Probability and Statistics. 5 2 Conduct scientific research on Mathematics, Probability and Statistics. 5 3 Possess information, skills and competencies necessary to pursue a PhD degree in the field of Statistics. 0 4 Possess comprehensive information on the analysis and modeling methods used in Statistics. 5 5 Present the methods used in analysis and modeling in the field of Statistics. 5 6 Discuss the problems in the field of Statistics. 5 7 Implement innovative methods for resolving problems in the field of Statistics. 5 8 Develop analytical modeling and experimental research designs to implement solutions. 5 9 Gather data in order to complete a research. 5 10 Develop approaches for solving complex problems by taking responsibility. 4 11 Take responsibility with self-confidence. 4 12 Have the awareness of new and emerging applications in the profession 5 13 Present the results of their studies at national and international environments clearly in oral or written form. 5 14 Oversee the scientific and ethical values during data collection, analysis, interpretation and announcment of the findings. 5 15 Update his/her knowledge and skills in statistics and related fields continously 5 16 Communicate effectively in oral and written form both in Turkish and English. 5 17 Use hardware and software required for statistical applications. 4 * 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 4 64     Out of Class Study (Preliminary Work, Practice) 16 5 80 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 0 0 0     Final Exam 0 0 0 Total Workload: 144 Total Workload / 25 (h): 5.76 ECTS Credit: 6