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Course Description Course Name : Seminar Course Code : YLISBS-101 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 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 : Have the ability to conduct scientific studies Have the ability to present a scientific study in front of a scientific community 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 skills to conduct a research in any field of statistics and present the results in accordance with scientific techniques. Course Contents : Seminar preparation stages and preparation of presentation Language of Instruction : Turkish Work Place : Seminar Room at the Department of Statistics   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 General information about presentation techniques Reading the references Lecture and discussion 2 General information about presentation techniques Reading the references Lecture and discussion 3 Preliminary studies related to the subject of seminar Reading the references Lecture and discussion 4 Determination of seminar topic Reading the references Lecture and discussion 5 Literature Review Reading the references Lecture and discussion 6 Literature Review Reading the references Lecture and discussion 7 Literature Review Reading the references Lecture and discussion 8 Literature Review Reading the references Lecture and discussion 9 Problem solving Reading the references Lecture and discussion 10 Problem solving Reading the references Lecture and discussion 11 Problem solving Reading the references Lecture and discussion 12 Evaluation of results Reading the references Lecture and discussion 13 Evaluation of results Reading the references Lecture and discussion 14 Editing and writing of the results Reading the references Lecture and discussion 15 Editing and writing of the results Reading the references Lecture and discussion 16/17 Seminar presentation Practice for presentation Presentation   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Allmaterials relating to seminar 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. 4 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. 4 5 Present the methods used in analysis and modeling in the field of Statistics. 5 6 Discuss the problems in the field of Statistics. 4 7 Implement innovative methods for resolving problems in the field of Statistics. 5 8 Develop analytical modeling and experimental research designs to implement solutions. 4 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. 5 12 Have the awareness of new and emerging applications in the profession 4 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. 5 * 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 5 80     Out of Class Study (Preliminary Work, Practice) 16 4 64 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