Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| INTRODUCTION to MULTIVARIATE ANALYSIS | - | Fall Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Abdulbari BENER |
| Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
| Assistant(s) | |
| Aim | The teaching classical multivariate analysis techniques that satisfy the normal distribution condition, using package programs, evaluation of the results. |
| Course Content | This course contains; Multivariate Normal Distribution ,Multivariate Chi-square and Wishart Distribution,Classical Multivariate Analyse Tecniques,Exploratory and Confirmatory Factor Analysis,Path Analysis ,Canonic Correlation Analysis ,Discriminant Analysis ,Logistic Regression Analysis ,Multidimensional Scaling ,Multivariate Multiple Regression ,Multivariate Covariance Analysis ,Cluster Analysis,Package Program Application,Package Program Application. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 2-Applies Classical Multivariate Analysis Techniques | 12, 14, 6, 9 | E |
| 1-Explanation of the Concept of Normal Distribution | 14, 3, 6, 9 | E |
| 3-Define the Classification and Discrimination of Multivariate Data | 12, 13, 14, 6, 9 | A, E |
| 4-Can Analyze Non-Normal Multivariate Data. | 16, 9 | A, E |
| Teaching Methods: | 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 3: Problem Baded Learning Model, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Multivariate Normal Distribution | Related chapters in textbooks |
| 2 | Multivariate Chi-square and Wishart Distribution | Related chapters in textbooks |
| 3 | Classical Multivariate Analyse Tecniques | Related chapters in textbooks |
| 4 | Exploratory and Confirmatory Factor Analysis | Related chapters in textbooks |
| 5 | Path Analysis | Related chapters in textbooks |
| 6 | Canonic Correlation Analysis | Related chapters in textbooks |
| 7 | Discriminant Analysis | Related chapters in textbooks |
| 8 | Logistic Regression Analysis | Related chapters in textbooks |
| 9 | Multidimensional Scaling | Related chapters in textbooks |
| 10 | Multivariate Multiple Regression | Related chapters in textbooks |
| 11 | Multivariate Covariance Analysis | Related chapters in textbooks |
| 12 | Cluster Analysis | Related chapters in textbooks |
| 13 | Package Program Application | Package Program Application |
| 14 | Package Program Application | Related chapters in textbooks |
| Resources |
| 1.Cooley, W.W. and Lohnes, P.R. : Multivariate Data Analysis, John Wiley and Sons. Inc., Toronto, 1971. 2.Mardia, K.V., Kent,J.T. and Bibby,J.M. : Multivariate Analysis, Academic Press, London, 1989. 3.Anderson, T.W. : An Introduction to Multivariate Statistical Analysis , John Wiley and Sons. Inc., New York 2003. 4. Johnson, R.A. and Wichern, D.W.: Applied Multivariate Statistical Analysis, 6th Edition , Prentice-Hall, New Jersey, 2007. |
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 |
|---|---|---|---|---|---|
| INTRODUCTION to MULTIVARIATE ANALYSIS | - | Fall Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Abdulbari BENER |
| Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
| Assistant(s) | |
| Aim | The teaching classical multivariate analysis techniques that satisfy the normal distribution condition, using package programs, evaluation of the results. |
| Course Content | This course contains; Multivariate Normal Distribution ,Multivariate Chi-square and Wishart Distribution,Classical Multivariate Analyse Tecniques,Exploratory and Confirmatory Factor Analysis,Path Analysis ,Canonic Correlation Analysis ,Discriminant Analysis ,Logistic Regression Analysis ,Multidimensional Scaling ,Multivariate Multiple Regression ,Multivariate Covariance Analysis ,Cluster Analysis,Package Program Application,Package Program Application. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 2-Applies Classical Multivariate Analysis Techniques | 12, 14, 6, 9 | E |
| 1-Explanation of the Concept of Normal Distribution | 14, 3, 6, 9 | E |
| 3-Define the Classification and Discrimination of Multivariate Data | 12, 13, 14, 6, 9 | A, E |
| 4-Can Analyze Non-Normal Multivariate Data. | 16, 9 | A, E |
| Teaching Methods: | 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 3: Problem Baded Learning Model, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Multivariate Normal Distribution | Related chapters in textbooks |
| 2 | Multivariate Chi-square and Wishart Distribution | Related chapters in textbooks |
| 3 | Classical Multivariate Analyse Tecniques | Related chapters in textbooks |
| 4 | Exploratory and Confirmatory Factor Analysis | Related chapters in textbooks |
| 5 | Path Analysis | Related chapters in textbooks |
| 6 | Canonic Correlation Analysis | Related chapters in textbooks |
| 7 | Discriminant Analysis | Related chapters in textbooks |
| 8 | Logistic Regression Analysis | Related chapters in textbooks |
| 9 | Multidimensional Scaling | Related chapters in textbooks |
| 10 | Multivariate Multiple Regression | Related chapters in textbooks |
| 11 | Multivariate Covariance Analysis | Related chapters in textbooks |
| 12 | Cluster Analysis | Related chapters in textbooks |
| 13 | Package Program Application | Package Program Application |
| 14 | Package Program Application | Related chapters in textbooks |
| Resources |
| 1.Cooley, W.W. and Lohnes, P.R. : Multivariate Data Analysis, John Wiley and Sons. Inc., Toronto, 1971. 2.Mardia, K.V., Kent,J.T. and Bibby,J.M. : Multivariate Analysis, Academic Press, London, 1989. 3.Anderson, T.W. : An Introduction to Multivariate Statistical Analysis , John Wiley and Sons. Inc., New York 2003. 4. Johnson, R.A. and Wichern, D.W.: Applied Multivariate Statistical Analysis, 6th Edition , Prentice-Hall, New Jersey, 2007. |
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 | |