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Course Description Course Name : Epidemiology Course Code : BİS553 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 5 Name of Lecturer(s) : Prof.Dr. HÜSEYİN REFİK BURGUT Learning Outcomes of the Course : knows the fundemental terminologies used in epidemiology knows the natural clinical course of diseases knows the reasons for the use of epidemiology disease frequency criteria-prevelance knows the mortality frequency criteria and its standardization Analyzes the natural clinical course of diseases detects the causes and risk factors of diseases knows the study designs that indicate disease burden knows the study designs that can determine disease risk knows how to reform the confusing factors and disease risk factor relation Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To learn the Basic terminologies in epidemiology, aims of epidemiology, the determination of disease burden and disease risk, and the evalauation of cause- effect relations Course Contents : Introduction to epidemiology, measures of mortality and morbidity, evaluation of casuses and the natural history of diseases, Observational studies: cross sectional, case-control, cohort, biases and correction of biases and applications in genetic and environment Language of Instruction : Turkish+English Work Place : Informatic lab in Biostatistics Dept   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to Epidemiology Read the fisrt chapter in reference #1 Reading 2 Measures of diseases Read the THİRD chapter in reference #1 Reading 3 Measures of morbidity Read the THIRD and fourt chapter in reference #1 Reading and assignment 4 Screening and diagnosis tests Read the fifth chapter in reference #1 Reading and assignment 5 Analyzing the natural clinical course of diseases Read the sixth chapter in reference #1 Reading and assignment 6 Searching disease causes Read the nineth chapter in reference #1 Reading and assignment 7 MID- TERM EXAM 8 Observational studies Reading and assignment 9 Observational studies: Case control, cohort studies Read the nineth and 10thchapter in reference #1 Reading and assignment 10 Biases and correction of biasese in epidemiological studies Read the 15th chapter in reference #1 Reading and assignment 11 Biases and correction of biasese in epidemiological studies Read the15th chapter in reference #1 Reading and assignment 12 Epidemiological application in Genetics Read the16th chapter in reference #1 Reading and assignment 13 Epidemiological application in Genetics Read the16th chapter in reference #1 Reading and assignment 14 Epidemiological application in environment Read the16th chapter in reference #1 Reading and assignment 15 Epidemiological application in environment Read the17th chapter in reference #1 Reading and assignment 16/17 FINAL EXAM   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.) 1 25     Homeworks/Projects/Others 14 75 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 4 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 0 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. 0 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. 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. 3 9 Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 0 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. 0 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. 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) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 14 3 42     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 6 6 Total Workload: 134 Total Workload / 25 (h): 5.36 ECTS Credit: 5