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 | DiscussionLecturing / 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;
|
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. |
Related Sustainable Development Goals | |
| Core Courses | X |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
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 |
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 Exam | ||
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 |
Semester 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 | 14 | 3 | 42 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | 1 | 25 | |
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 30 | |
Final Exams | 1 | 35 | |
Total | 180 |
# | 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