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Course Description Course Name : Thesis Course Code : BİS-730 Course Type : Compulsory Level of Course : Sub-Level (Undergraduate Degree) Year of Study : 2 Course Semester : Fall and Spring (16 Weeks) ECTS : 25 Name of Lecturer(s) : Prof.Dr. ZELİHA NAZAN ALPARSLAN Prof.Dr. HÜSEYİN REFİK BURGUT Assoc.Prof.Dr. GÜLŞAH SEYDAOĞLU InstructorDr. YAŞAR SERTDEMİR Learning Outcomes of the Course : Develops the research question and hypothesis in the field of expertise Collects reliable and proper information about the research subject Plans and designs the research considering the ethics and scientific rules and collects the data accordingly Analyzes, synthezises, reports and publishes the results considering the ethics and scientific rules Develops new approaches to complex situations encountered in practice and solves problems by taking responsibility Discovers the correct use of a method or structure, shows and presents Produces new-original information using the existing information or improves an existing method-theory or creates a new theory -a new method- Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To acqurie knowledge and ability of designing, planning, applying a scientific research, evaluating the results and interpreting and reporting the results , in order to to solve a current specific problem in the field depending on academic and ethical principles Course Contents : Determination of thesis subject and method and material, collecting and analysing the data, reporting the findings and results, announcement, defense and publication of the thesis 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 Studies related to the thesis topic Develops a hypothesis Reading 2 Studies related to the thesis topic Planning Independent study 3 Studies related to the thesis topic Reviewing literature Review, Independent study 4 Studies related to the thesis topic Reviewing literature Review, Independent study 5 Studies related to the thesis topic Reviewing literature Review, Independent study 6 Studies related to the thesis topic Data collection Review, Independent study 7 Studies related to the thesis topic Data collection Review, Independent study 8 Report Presentation Presentation 9 Studies related to the thesis topic Data analysis and thesis writing Thesis writing 10 Studies related to the thesis topic Data analysis and thesis writing Thesis writing 11 Studies related to the thesis topic Data analysis and thesis writing Thesis writing 12 Studies related to the thesis topic Data analysis and thesis writing Thesis writing 13 Studies related to the thesis topic Data analysis and thesis writing Thesis writing 14 Studies related to the thesis topic Data analysis and thesis writing Thesis writing 15 Studies related to the thesis topic Data analysis and thesis writing Thesis writing 16/17 Presenting the thesis to the scientific committee Thesis presentation Presentation   Required Course Resources Resource Type Resource Name Recommended Course Material(s) Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 0 60     Homeworks/Projects/Others 1 40 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 5 2 Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. 5 3 Students collect data from research studies, analyze, and make inferences 5 4 Students design health survey, determine the sampling method and conduct the survey 5 5 Students knows the system of international classification of diseases, obtain and analyze hospital statistics. 1 6 Students select the appropriate statistical procedure for analysis , apply and make inferences. 4 7 Students use the necessary statistical packages for analysis, if necessary write and develop software. 4 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. 2 9 Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 3 10 Students explain demographic terminologies and statistical methods in the field of health sciences. 3 11 Students understand and use medical terminology. 5 12 Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence 5 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. 5 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. 3 * 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 15 240     Out of Class Study (Preliminary Work, Practice) 16 20 320 Assesment Related Works     Homeworks, Projects, Others 1 30 30     Mid-term Exams (Written, Oral, etc.) 0 0 0     Final Exam 1 25 25 Total Workload: 615 Total Workload / 25 (h): 24.6 ECTS Credit: 25