Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| BIOSTATISTICS | BESY1110438 | Fall Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| 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) | Res. Ass. Furkan Büyükkal |
| Aim | To provide the knowledge and practice of research methods and statistics necessary for organizing and concluding research with scientific methods. |
| Course Content | This course contains; Scientific method, data, scales.,Variables, blinding, errors insurveys.,Types of research,research planning, sampling.,Observation method, survey method, clinical trials.,Theuse of research methods in epidemiology, research ethics.,Literature review, preparation of data for analysis.,The table and graph-making, footnotes and references.,General concepts and techniques of statistics, measurements, frequency distributions, averages.,Probability.,Basics of hypothesistesting, confidence intervals basics.,Comparison of averages.,Correlation and regression, multiplelinear regression.,Categorical variables, comparison of two proportions.,Crosstabs,stratified tables.. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Summarizes clinical research, relationships among variables, blinding, mistakes in research, research and science ethics | 10, 12, 13, 14, 16, 4, 6, 8, 9 | E |
| Establishes the relationship between scientific research and biostatistical methods | 10, 12, 13, 14, 16, 4, 6, 9 | E |
| define descriptive and analytical statistical methods and analyze them | 10, 12, 13, 14, 16, 4, 5, 6, 8, 9 | E |
| Gains the practice of planning a scientific research, scanning sources, preparing data for analysis, making tables and graphs, citing footnotes and references. | 10, 12, 13, 14, 16, 4, 6, 8, 9 | E |
| Analyze the relationship of descriptive and analytical statistical methods to scientific research | 10, 13, 14, 16, 4, 5, 6, 8, 9 | E |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Scientific method, data, scales. | Downloading and working with the relevant ppt file -Mebis notes |
| 2 | Variables, blinding, errors insurveys. | Downloading and working with the relevant ppt file-Mebis notes |
| 3 | Types of research,research planning, sampling. | Downloading and working with the relevant ppt file-Mebis notes |
| 4 | Observation method, survey method, clinical trials. | Downloading and working with the relevant ppt file-Mebis notes |
| 5 | Theuse of research methods in epidemiology, research ethics. | Downloading and working with the relevant ppt file-Mebis notes |
| 6 | Literature review, preparation of data for analysis. | Downloading and working with the relevant ppt file-Mebis notes |
| 7 | The table and graph-making, footnotes and references. | Downloading and working with the relevant ppt file-Mebis notes |
| 8 | General concepts and techniques of statistics, measurements, frequency distributions, averages. | Downloading and working with the relevant ppt file-Mebis notes |
| 9 | Probability. | Downloading and working with the relevant ppt file-Mebis notes |
| 10 | Basics of hypothesistesting, confidence intervals basics. | Downloading and working with the relevant ppt file-Mebis notes |
| 11 | Comparison of averages. | Downloading and working with the relevant ppt file-Mebis notes |
| 12 | Correlation and regression, multiplelinear regression. | Downloading and working with the relevant ppt file-Mebis notes |
| 13 | Categorical variables, comparison of two proportions. | Downloading and working with the relevant ppt file-Mebis notes |
| 14 | Crosstabs,stratified tables. | Downloading and working with the relevant ppt file-Mebis notes |
| Resources |
| Biostatistics "mebis notes" wil be given to the students. |
| 1) Bioistatistik, Prof.Dr.Kadir Sümbüloğlu, Doç.Dr.Vildan Sümbüloğlu. 2) Sağlık Bilimlerinde araştırma yöntemleri Vildan Sümbüloğlu, Kadir Sümbüloğlu. 3) Bilgisayar (Excel) destekli uygulamalı istatistik Prof.Dr. Mustafa Akkurt. 4) Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir. 5) SPSS ile biyoistatistik Kazım Özdamar. 6) Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül. 7) Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Çeviren S. Oğuz Kayaalp, Hacettepe Taş, 2000. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Accesses scientifically validated knowledge in the field of Nutrition and Dietetics. | ||||||
| 2 | Evaluates, interprets, and disseminates acquired knowledge and data. | ||||||
| 3 | Integrates knowledge from Nutrition and Dietetics with insights from other disciplines for comprehensive interpretation. | ||||||
| 4 | Identifies nutrition-related problems at both individual and societal levels. | ||||||
| 5 | Proposes solutions in line with professional and ethical principles, emerging technologies, and up-to-date scientific evidence. | ||||||
| 6 | Communicates and shares acquired expertise with relevant institutions and/or individuals. | ||||||
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 | 14 | 2 | 28 | |||
| Guided Problem Solving | 14 | 2 | 28 | |||
| Resolution of Homework Problems and Submission as a Report | 14 | 4 | 56 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 7 | 2 | 14 | |||
| Quiz | 14 | 4 | 56 | |||
| Midterm Exam | 4 | 4 | 16 | |||
| General Exam | 4 | 4 | 16 | |||
| Performance Task, Maintenance Plan | 14 | 2 | 28 | |||
| Total Workload(Hour) | 242 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(242/30) | 8 | |||||
| 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 | BESY1110438 | Fall Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| 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) | Res. Ass. Furkan Büyükkal |
| Aim | To provide the knowledge and practice of research methods and statistics necessary for organizing and concluding research with scientific methods. |
| Course Content | This course contains; Scientific method, data, scales.,Variables, blinding, errors insurveys.,Types of research,research planning, sampling.,Observation method, survey method, clinical trials.,Theuse of research methods in epidemiology, research ethics.,Literature review, preparation of data for analysis.,The table and graph-making, footnotes and references.,General concepts and techniques of statistics, measurements, frequency distributions, averages.,Probability.,Basics of hypothesistesting, confidence intervals basics.,Comparison of averages.,Correlation and regression, multiplelinear regression.,Categorical variables, comparison of two proportions.,Crosstabs,stratified tables.. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Summarizes clinical research, relationships among variables, blinding, mistakes in research, research and science ethics | 10, 12, 13, 14, 16, 4, 6, 8, 9 | E |
| Establishes the relationship between scientific research and biostatistical methods | 10, 12, 13, 14, 16, 4, 6, 9 | E |
| define descriptive and analytical statistical methods and analyze them | 10, 12, 13, 14, 16, 4, 5, 6, 8, 9 | E |
| Gains the practice of planning a scientific research, scanning sources, preparing data for analysis, making tables and graphs, citing footnotes and references. | 10, 12, 13, 14, 16, 4, 6, 8, 9 | E |
| Analyze the relationship of descriptive and analytical statistical methods to scientific research | 10, 13, 14, 16, 4, 5, 6, 8, 9 | E |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Scientific method, data, scales. | Downloading and working with the relevant ppt file -Mebis notes |
| 2 | Variables, blinding, errors insurveys. | Downloading and working with the relevant ppt file-Mebis notes |
| 3 | Types of research,research planning, sampling. | Downloading and working with the relevant ppt file-Mebis notes |
| 4 | Observation method, survey method, clinical trials. | Downloading and working with the relevant ppt file-Mebis notes |
| 5 | Theuse of research methods in epidemiology, research ethics. | Downloading and working with the relevant ppt file-Mebis notes |
| 6 | Literature review, preparation of data for analysis. | Downloading and working with the relevant ppt file-Mebis notes |
| 7 | The table and graph-making, footnotes and references. | Downloading and working with the relevant ppt file-Mebis notes |
| 8 | General concepts and techniques of statistics, measurements, frequency distributions, averages. | Downloading and working with the relevant ppt file-Mebis notes |
| 9 | Probability. | Downloading and working with the relevant ppt file-Mebis notes |
| 10 | Basics of hypothesistesting, confidence intervals basics. | Downloading and working with the relevant ppt file-Mebis notes |
| 11 | Comparison of averages. | Downloading and working with the relevant ppt file-Mebis notes |
| 12 | Correlation and regression, multiplelinear regression. | Downloading and working with the relevant ppt file-Mebis notes |
| 13 | Categorical variables, comparison of two proportions. | Downloading and working with the relevant ppt file-Mebis notes |
| 14 | Crosstabs,stratified tables. | Downloading and working with the relevant ppt file-Mebis notes |
| Resources |
| Biostatistics "mebis notes" wil be given to the students. |
| 1) Bioistatistik, Prof.Dr.Kadir Sümbüloğlu, Doç.Dr.Vildan Sümbüloğlu. 2) Sağlık Bilimlerinde araştırma yöntemleri Vildan Sümbüloğlu, Kadir Sümbüloğlu. 3) Bilgisayar (Excel) destekli uygulamalı istatistik Prof.Dr. Mustafa Akkurt. 4) Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir. 5) SPSS ile biyoistatistik Kazım Özdamar. 6) Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül. 7) Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Çeviren S. Oğuz Kayaalp, Hacettepe Taş, 2000. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Accesses scientifically validated knowledge in the field of Nutrition and Dietetics. | ||||||
| 2 | Evaluates, interprets, and disseminates acquired knowledge and data. | ||||||
| 3 | Integrates knowledge from Nutrition and Dietetics with insights from other disciplines for comprehensive interpretation. | ||||||
| 4 | Identifies nutrition-related problems at both individual and societal levels. | ||||||
| 5 | Proposes solutions in line with professional and ethical principles, emerging technologies, and up-to-date scientific evidence. | ||||||
| 6 | Communicates and shares acquired expertise with relevant institutions and/or individuals. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |