FACULTY OF ARTS AND SCIENCES

Department of Mathematics

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
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Lecture / Presentation
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;
  • will be able to explain the basic statistical programs and methods used in healthcare, medical and bioengineering.
  • will be able to explain the basic biostatistics methods used in the health sector.
  • will be able to define statistical studies related to these fields.
  • will be able to make inferences in the fields of health, medical and engineering.
  • will be able to make decisions with the data obtained in these areas by using statistical methods.
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
X
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 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 1
2 Examples, frequency distributions and descriptive measures Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 2
3 Probability Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 2
4 Probability II Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 3,4,5
5 Sampling distribution, estimation and confidence intervals Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 6
6 Hypothesis testing I Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 7
7 Hypothesis testing II Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 8
8 Midterm
9 Correlation and regression Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 11
10 Chi-square tests Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 9
11 Variance analysis (ANOVA) Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
12 Statistical programme Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
13 Examples and case study Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
14 Case study Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
15 Semester Review
16 Final exam

 

Course Notes/Textbooks

Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016  ISBN: 978-1-305-26892-0 

Suggested Readings/Materials

“Fundementals of Biostatistics” by Rostner, B,  Duxbury press, 5th Edition,2005. ISBN-13: 978-0534418205

“Biostatistics, A Foundation for Analysis in the Health Sciences” by Wayne Daniel, Wiley, 10th Edition, 2013, ISBN-13: 978-1118302798

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
25
25
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
35
35
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.

X
2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.

X
3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.

X
4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.

5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.

6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.

X
7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.

8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.

9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.

10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.

11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

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

 


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