MATH 150 | Course Introduction and Application Information

Course Name
Research Methods and Biostatistics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 150
Fall/Spring
3
0
3
6

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
-
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
  • Make an inference about the parameters by using statistical methods
Course Content 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 Developing a Research Model and Introduction and Review of Basic Statistics The course notes and references provided by the instructor
2 Examples, Frequency distributions and descriptive measures 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 Sampling Distribution, Estimation 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 Variance Analysis (ANOVA) The course notes and references provided by the instructor
12 Statistical programme The course notes and references provided by the instructor
13 Examples and 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 Textbooks The course notes and references provided by the instructor.
References

Rostner, B. “Fundementals of Biostatistics” 5th Ed. Duxbury press, USA, 2000

Wayne Daniel, “Basic Biostatistics, A Foundation for Analysis in the Health Sciences”

 

EVALUATION SYSTEM

Semester Requirements Number Percentage
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
20
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
30
Final / Oral Exam
1
50
Total

Contribution of Semester Work to Final Grade
3
50
Contribution of Final Work to Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
3
48
Laboratory / Application Hours
Including exam week: 16 x total hours
16
Study Hours Out of Class
16
2
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
5
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
25
Final / Oral Exam
1
35
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have sufficient background in Mathematics, Basic sciences and Biomedical Engineering areas and the skill to use this theoretical and practical background in the problems of the Biomedical Engineering.

2

To identify, formulate and solve Biomedical Engineering-related problems by using state-of-the-art methods, techniques and equipment; to select and apply appropriate analysis and modeling methods for this purpose.

3

To analyze a complex system, system components or process, and to design with realistic limitations to meet the requirements using modern design techniques; to apply modern design techniques for this purpose.

4

To choose and use the required modern techniques and tools for analysis and solution of complex problems in Biomedical Engineering applications; to skillfully use information technologies.

5

To design and do simulation and/or experiment, collect and analyze data and interpret results for studying complex engineering problems or research topics of the discipline. 

6

To efficiently participate in intradisciplinary and multidisciplinary teams; to work independently.

7

To communicate both in oral and written form in Turkish; to have knowledge of at least one foreign language; to have the skill to write and understand reports, prepare design and production reports, present, give and receive clear instructions.

8

To recognize the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.

9

To behave ethically, to be aware of professional and ethical responsibilities; to have knowledge about the standards in Biomedical Engineering applications.

10

To have information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.

11

To have knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Biomedical Engineering solutions.

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