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Course Description Course Name : Special Biostatistics Course Code : BİS550 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 2 Name of Lecturer(s) : Prof.Dr. ZELİHA NAZAN ALPARSLAN Prof.Dr. HÜSEYİN REFİK BURGUT Learning Outcomes of the Course : determines topics of interest to study does the practices of the topic of interest plans a presentation or a poster to be presented in congresses and conferences related to the topic of interest Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To cover the topics not covered within the formal curriculum but that the student shows interest in Course Contents : Any one or more topics that the sudent shows interest in Language of Instruction : Turkish+English Work Place : Biostatistics Dept.   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Selection of the topic of interest Search for the topic of interest Reading 2 Selection of the topic of interest Reading the topics of interest Reading 3 Selection of the topic of interest Reading the topics of interest Reading 4 Selection of the topic of interest Reading the topics of interest Reading 5 Analyzing the topics of interest Reading the topics of interest Reading 6 Analyzing the topics of interest Reading the topics of interest Reading 7 Analyzing the topics of interest Reading the topics of interest Reading 8 Analyzing the topics of interest Reading the topics of interest Reading 9 Analyzing the topics of interest Reading the topics of interest Reading 10 Analyzing the topics of interest Reading the topics of interest Reading 11 Analyzing the topics of interest Reading the topics of interest Reading 12 Analyzing the topics of interest Reading the topics of interest Reading 13 Presentation of the topics preparation for presentation work for presentation 14 Presentation of the topics preparation for 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 0     Homeworks/Projects/Others 14 100 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 0 2 Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. 0 3 Students collect data from research studies, analyze, and make inferences 0 4 Students design health survey, determine the sampling method and conduct the survey 0 5 Students knows the system of international classification of diseases, obtain and analyze hospital statistics. 0 6 Students select the appropriate statistical procedure for analysis , apply and make inferences. 0 7 Students use the necessary statistical packages for analysis, if necessary write and develop software. 0 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. 0 9 Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 4 10 Students explain demographic terminologies and statistical methods in the field of health sciences. 0 11 Students understand and use medical terminology. 0 12 Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence 0 13 Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 0 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. 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) 14 1 14     Out of Class Study (Preliminary Work, Practice) 14 1 14 Assesment Related Works     Homeworks, Projects, Others 14 1 14     Mid-term Exams (Written, Oral, etc.) 0 0 0     Final Exam 0 0 0 Total Workload: 42 Total Workload / 25 (h): 1.68 ECTS Credit: 2