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Course Description Course Name : Special Area Course Course Code : BİS710 Course Type : Compulsory Level of Course : Second Cycle Year of Study : First 2 Year Course Semester : Fall and Spring (16 Weeks) ECTS : 5 Name of Lecturer(s) : Prof.Dr. ZELİHA NAZAN ALPARSLAN Prof.Dr. HÜSEYİN REFİK BURGUT Assoc.Prof.Dr. GÜLŞAH SEYDAOĞLU Learning Outcomes of the Course : Understands the systematic methods of gaining knowledge related to the field of expertise Discovers the ways to reach current, reliable and accurate information Understands the facts and principles related to the field of expertise Interprets written and oral data, diagrams and charts, transforms the data into formulas Discovers the subjects to be studied in the field Develops effective presentation skills, does presentations in front of the scientific community, defends the hypotheses Understands the principles and ethical rules of being a part of projects, correspondence, exchange of information Gains experience by participating in scientific projects Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To inform the students about the scientific study field and related experience of the supervisor lecturer, ethics and study discipline, how to search data in the study field, the ability to carry out research projects, to review and evaluate current literature, Course Contents : To review research topics and to study in order to decide on the thesis topic, to review previous studies that shape the thesis topic, deisgning thesis proposals, presentation and approval of the porposals,and timetabling of the thesis study and studying according to this schedule. Language of Instruction : Turkish Work Place : Biostatistics Department   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Topics determined by the supervisor search for research topics Reading 2 Topics determined by the supervisor search for research topics Reading 3 Topics determined by the supervisor search for research topics Reading 4 Topics determined by the supervisor search for research topics Reading 5 Topics determined by the supervisor search for research topics Reading 6 Topics determined by the supervisor search for research topics Reading 7 Topics determined by the supervisor search for research topics Reading 8 Topics determined by the supervisor search for research topics Reading 9 Topics determined by the supervisor search for research topics Reading 10 Topics determined by the supervisor search for research topics Reading 11 Topics determined by the supervisor search for research topics Reading 12 Topics determined by the supervisor search for research topics Reading 13 Discussion of the topics determined search for research topics Reading 14 Discussion of the topics determined search for research topics Reading 15 Discussion of the topics determined search for research topics Reading 16/17 Assessment Discussion none   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  All scientific sources, internet and data bases Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 0 0     Homeworks/Projects/Others 16 100 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 Students design scientific research studies in order to give response to the problem arising from health and clinical sciences 2 2 Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. 4 3 Students collect data from research studies, analyze, and make inferences 2 4 Students design health survey, determine the sampling method and conduct the survey 3 5 Students knows the system of international classification of diseases, obtain and analyze hospital statistics. 3 6 Students select the appropriate statistical procedure for analysis , apply and make inferences. 3 7 Students use the necessary statistical packages for analysis, if necessary write and develop software. 2 8 Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 3 9 Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 2 10 Students explain demographic terminologies and statistical methods in the field of health sciences. 1 11 Students understand and use medical terminology. 3 12 Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence 2 13 Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 3 14 Students follow the latest development in medical informatics and employ frequently used tools and methods. 4 15 Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test. 2 * 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 3 48     Out of Class Study (Preliminary Work, Practice) 16 3 48 Assesment Related Works     Homeworks, Projects, Others 16 2 32     Mid-term Exams (Written, Oral, etc.) 0 0 0     Final Exam 0 0 0 Total Workload: 128 Total Workload / 25 (h): 5.12 ECTS Credit: 5