Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| BIOSTATISTICS-I | - | Fall Semester | 3+0 | 3 | 10 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Abdulbari BENER |
| Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
| Assistant(s) | |
| Aim | To provide students with a basic knowledge of statistics to compile and analyze medical data, and to make statistical inferences and decisions on this basis. |
| Course Content | This course contains; DEFINITION AND RATIONALE,DESCRIPTIVE STATISTICS,PROBABILITY,PROBABILITY DISTRIBUTIONS,ESTIMATION,SAMPLİNG AND DETERMINATION OF SAMPLE SIZE,HYPOTHESIS TESTING,ONE WAY ANALYSİS OF VARIANCE,SIMPLE LINEAR REGRESSION AND CORRELATION,CHI-SQUARE,Nonparametric and Distribution-Free Statistics,Statistics Program Applications,Statistics Program Applications,Statistics Program Applications. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| The course consists of an introduction to elementary probability, design of experiments in medical sciences, sampling techniques, graphical and other descriptive presentation of the data, basic statistical analysis, inference and decision. The course is problem based. | 10, 12, 14, 16, 18, 6, 9 | A, E |
| Examples of problems will be drawn from various areas of medical and health sciences. Relevant statistical methods will be introduced to illustrate the examples and to solve the problems. | 10, 14, 16, 6, 9 | A |
| The students will also be exposed to the ways of setting up hypotheses, and applications of alternate methods to arrive at statistical inferences for the same problem. | 10, 16, 4, 6, 9 |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 18: Micro Teaching Technique, 4: Inquiry-Based Learning, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | DEFINITION AND RATIONALE | Related pages of the textbook |
| 2 | DESCRIPTIVE STATISTICS | Related pages of the textbook |
| 3 | PROBABILITY | Related pages of the textbook |
| 4 | PROBABILITY DISTRIBUTIONS | Related pages of the textbook |
| 5 | ESTIMATION | Related pages of the textbook |
| 6 | SAMPLİNG AND DETERMINATION OF SAMPLE SIZE | Related pages of the textbook |
| 7 | HYPOTHESIS TESTING | Related pages of the textbook |
| 8 | ONE WAY ANALYSİS OF VARIANCE | Related pages of the textbook |
| 9 | SIMPLE LINEAR REGRESSION AND CORRELATION | Related pages of the textbook |
| 10 | CHI-SQUARE | Related pages of the textbook |
| 11 | Nonparametric and Distribution-Free Statistics | Related pages of the textbook |
| 12 | Statistics Program Applications | Revision |
| 13 | Statistics Program Applications | Revision |
| 14 | Statistics Program Applications | Revision |
| Resources |
| Biostatistics: A Foundation for Analysis in the Health Sciences, 11th Edition Wayne W. Daniel, Chad L. Cross. John Wiley & Sons |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Can use advanced theoretical and applied knowledge gained in the fields of theoretical and applied biostatistics. | X | |||||
| 2 | Can use the knowledge of basic probability and statistics theories and applications at the level of expertise. | X | |||||
| 3 | They have knowledge of all kinds of research design in the field of health | X | |||||
| 4 | Can design, construct and propose solutions for research in the field of health. | X | |||||
| 5 | Can identify and analyze problems in health research and produce solutions based on scientific methods | X | |||||
| 6 | Conducts scientific clinical descriptive or analytical research on priority issues related to the field. | X | |||||
| 7 | Evaluate and explain the information about the field of biostatistics with a critical approach. | X | |||||
| 8 | Observes and teaches social, scientific, and ethical values in the stages of data collection, recording, interpretation, and reporting related to the field of biostatistics. | X | |||||
| 9 | To be familiar with the software commonly used in the fields of biostatistics and to be able to use at least one effectively | X | |||||
| 10 | Conducts studies in the field of biostatistics independently or as a team. | X | |||||
| 11 | Maintains work in the field of biostatistics individually or as a team, can participate in the decision-making process, and make and finalize the necessary planning by using time effectively. | X | |||||
| 12 | Ensure the continuity of her professional development by using the biostatistics field and lifelong learning principles. | X | |||||
| 13 | Publishes a scientific article in a national and international journal or presents it at a scientific meeting. | X | |||||
| 14 | Take part in research, projects and activities in collaboration with other disciplines in the field of health. | X | |||||
| 15 | A sensitive individual, they can use their knowledge for the benefit of society and have sufficient awareness about quality management, occupational safety, and environment in all processes. | X | |||||
| 16 | Can use the knowledge and problem-solving skills synthesized in the field of biostatistics by considering ethical principles in health research. | X | |||||
| 17 | It can be found in national and international policy studies in the field of biostatistics and education. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 0 | 0 | 0 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| General Exam | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 0 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30) | 0 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| BIOSTATISTICS-I | - | Fall Semester | 3+0 | 3 | 10 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Abdulbari BENER |
| Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
| Assistant(s) | |
| Aim | To provide students with a basic knowledge of statistics to compile and analyze medical data, and to make statistical inferences and decisions on this basis. |
| Course Content | This course contains; DEFINITION AND RATIONALE,DESCRIPTIVE STATISTICS,PROBABILITY,PROBABILITY DISTRIBUTIONS,ESTIMATION,SAMPLİNG AND DETERMINATION OF SAMPLE SIZE,HYPOTHESIS TESTING,ONE WAY ANALYSİS OF VARIANCE,SIMPLE LINEAR REGRESSION AND CORRELATION,CHI-SQUARE,Nonparametric and Distribution-Free Statistics,Statistics Program Applications,Statistics Program Applications,Statistics Program Applications. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| The course consists of an introduction to elementary probability, design of experiments in medical sciences, sampling techniques, graphical and other descriptive presentation of the data, basic statistical analysis, inference and decision. The course is problem based. | 10, 12, 14, 16, 18, 6, 9 | A, E |
| Examples of problems will be drawn from various areas of medical and health sciences. Relevant statistical methods will be introduced to illustrate the examples and to solve the problems. | 10, 14, 16, 6, 9 | A |
| The students will also be exposed to the ways of setting up hypotheses, and applications of alternate methods to arrive at statistical inferences for the same problem. | 10, 16, 4, 6, 9 |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 18: Micro Teaching Technique, 4: Inquiry-Based Learning, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | DEFINITION AND RATIONALE | Related pages of the textbook |
| 2 | DESCRIPTIVE STATISTICS | Related pages of the textbook |
| 3 | PROBABILITY | Related pages of the textbook |
| 4 | PROBABILITY DISTRIBUTIONS | Related pages of the textbook |
| 5 | ESTIMATION | Related pages of the textbook |
| 6 | SAMPLİNG AND DETERMINATION OF SAMPLE SIZE | Related pages of the textbook |
| 7 | HYPOTHESIS TESTING | Related pages of the textbook |
| 8 | ONE WAY ANALYSİS OF VARIANCE | Related pages of the textbook |
| 9 | SIMPLE LINEAR REGRESSION AND CORRELATION | Related pages of the textbook |
| 10 | CHI-SQUARE | Related pages of the textbook |
| 11 | Nonparametric and Distribution-Free Statistics | Related pages of the textbook |
| 12 | Statistics Program Applications | Revision |
| 13 | Statistics Program Applications | Revision |
| 14 | Statistics Program Applications | Revision |
| Resources |
| Biostatistics: A Foundation for Analysis in the Health Sciences, 11th Edition Wayne W. Daniel, Chad L. Cross. John Wiley & Sons |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Can use advanced theoretical and applied knowledge gained in the fields of theoretical and applied biostatistics. | X | |||||
| 2 | Can use the knowledge of basic probability and statistics theories and applications at the level of expertise. | X | |||||
| 3 | They have knowledge of all kinds of research design in the field of health | X | |||||
| 4 | Can design, construct and propose solutions for research in the field of health. | X | |||||
| 5 | Can identify and analyze problems in health research and produce solutions based on scientific methods | X | |||||
| 6 | Conducts scientific clinical descriptive or analytical research on priority issues related to the field. | X | |||||
| 7 | Evaluate and explain the information about the field of biostatistics with a critical approach. | X | |||||
| 8 | Observes and teaches social, scientific, and ethical values in the stages of data collection, recording, interpretation, and reporting related to the field of biostatistics. | X | |||||
| 9 | To be familiar with the software commonly used in the fields of biostatistics and to be able to use at least one effectively | X | |||||
| 10 | Conducts studies in the field of biostatistics independently or as a team. | X | |||||
| 11 | Maintains work in the field of biostatistics individually or as a team, can participate in the decision-making process, and make and finalize the necessary planning by using time effectively. | X | |||||
| 12 | Ensure the continuity of her professional development by using the biostatistics field and lifelong learning principles. | X | |||||
| 13 | Publishes a scientific article in a national and international journal or presents it at a scientific meeting. | X | |||||
| 14 | Take part in research, projects and activities in collaboration with other disciplines in the field of health. | X | |||||
| 15 | A sensitive individual, they can use their knowledge for the benefit of society and have sufficient awareness about quality management, occupational safety, and environment in all processes. | X | |||||
| 16 | Can use the knowledge and problem-solving skills synthesized in the field of biostatistics by considering ethical principles in health research. | X | |||||
| 17 | It can be found in national and international policy studies in the field of biostatistics and education. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |