FACULTY OF BUSINESS

Insurance and Risk Management Program

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 -
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 The students who succeeded in this course;
  • Explain the basic statistical programs and methods used in healthcare, medical and bioengineering
  • Define and explain the researches made in these areas
  • Explain the management of obtained data
  • Evaluate 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
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 Weigthing
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

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

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

 


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