İzmir Ekonomi Üniversitesi
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  • FACULTY OF BUSINESS

    Insurance and Risk Management Program


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    GEMC 204 | Course Introduction and Application Information

    Course Name
    Research Methods and Biostatistics
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    GEMC 204
    Fall/Spring
    3
    0
    3
    6

    Prerequisites
    None
    Course Language
    English
    Course Type
    Service Course
    Course Level
    -
    Mode of Delivery -
    Teaching Methods and Techniques of the Course -
    National Occupation Classification -
    Course Coordinator
    Course Lecturer(s)
    Assistant(s) -
    Course Objectives The aim of the course is to let students understand the statistical methods used during the research in health sector. During the course the students will be provided with the process of research in the healthcare sector by including the methods of data collection and statistical analysis.
    Learning Outcomes
    #
    Content
    PC Sub
    * Contribution Level
    1
    2
    3
    4
    5
    1Explain the basic statistical programs and methods used in healthcare, medical and bioengineering
    2Define and explain the researches made in these areas
    3Explain the management of obtained data
    4Evaluate the statistical methods used in healthcare and bioengineering sector
    Course Description The course content is designed in twofold. In the first part the theoretical background of statistical analysis will be discussed. In the second part of the semester, demographic distribution, public health and the analysis and grouping of thee data in the healthcare sector will be discussed with examples.

     



    Course Category

    Core Courses
    Major Area Courses
    Supportive Courses
    Media and Management Skills Courses
    Transferable Skill Courses

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Related Preparation Learning Outcome
    1 Introduction and Review of Basic Statistics The course notes and references provided by the instructor
    2 Developing a Research Model The course notes and references provided by the instructor
    3 Probability The course notes and references provided by the instructor
    4 Probability II The course notes and references provided by the instructor
    5 Distribution and Confidence Intervals The course notes and references provided by the instructor
    6 Hypothesis Testing I The course notes and references provided by the instructor
    7 Hypothesis Testing II The course notes and references provided by the instructor
    8 Midterm Examination The course notes and references provided by the instructor
    9 Correlation and Regression The course notes and references provided by the instructor
    10 Chi-Square Tests The course notes and references provided by the instructor
    11 Case Study The course notes and references provided by the instructor
    12 Case Study The course notes and references provided by the instructor
    13 Case Study The course notes and references provided by the instructor
    14 Case Study The course notes and references provided by the instructor
    15 Review of the Semester The course notes and references provided by the instructor
    16 Final Exam

     

    Course Notes/Textbooks
    Suggested Readings/Materials

     

    EVALUATION SYSTEM

    Semester Activities Number Weighting LO 1 LO 2 LO 3 LO 4
    Participation
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    2
    20
    Presentation / Jury
    Project
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    30
    Final Exam
    1
    50
    Total

    Weighting of Semester Activities on the Final Grade
    Weighting of End-of-Semester Activities on the Final Grade
    Total

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Theoretical Course Hours
    (Including exam week: 16 x total hours)
    16
    0
    Laboratory / Application Hours
    (Including exam week: '.16.' x total hours)
    16
    0
    Study Hours Out of Class
    0
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    0
    Presentation / Jury
    0
    Project
    0
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    0
    Final Exam
    1
    0
        Total
    0

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP


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    #
    PC Sub Program Competencies/Outcomes
    * Contribution Level
    1
    2
    3
    4
    5

    *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

     


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