Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| BIOSTATISTICS | - | Yearly | 13+2 | - | 1 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Committee Course |
| Course Coordinator | Prof.Dr. Mehmet KOÇAK |
| Name of Lecturer(s) | Prof.Dr. Abdulbari BENER, Prof.Dr. Mehmet KOÇAK |
| Assistant(s) | |
| Aim | This course begins with the introduction of basic statistical concepts, types of measurements and sampling strategies used in statistical analysis and types of research design, followed by examples of statistical graphics. Descriptive statistics as the first step in data analysis will be defined and examples will be discussed. After a brief introduction to the concept of probability, we will discuss some of the most commonly used probability distributions in statistical analysis, testing and modeling, such as Bernoulli, Binomial, Negative Binomial, Hypergeometric, Gaussian (Normal), Student-t, Chi-Square and F distributions. In the light of sampling distributions and the Central Limit Theorem, we will move from descriptive statistics to inferential statistics and introduce the concept of confidence intervals and hypothesis testing. |
| Course Content | This course contains; Confidence Interval and its applications,Hypothesis Testing and its applications,Analysis of Variance and Non-parametric tests,Investigation of the association between two variables,Introduction to Linear Regression Modeling,Multivariable Linear Regression Models ,Introduction to Logistic Regression Modelling . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| At the end of this lecture, we expect that students acquire the meaning of basic terms in biostatistics, recognize basic statistics, and develop an understanding of the utility of statistical graphics. | ||
| At the end of this lecture, we expect that students distinguish different sampling methods, their advantages and disadvantages in different circumstances, develop understanding for various types of biases in research. | ||
| At the end of this lecture, we expect that students develop an understanding of the theoretical and practical meaning of probability and recognize and appreciate probability laws. | ||
| At the end of this lecture, we expect that students recognize different random variables, build familiarity with their probabilistic characteristics. | ||
| At the end of this lecture, we expect that students develop a recognition of the importance and utility of the Central Limit Theorem and understand the mechanisms behind the probability distributions of sample statistics such as sample mean, sample proportion, and sample standard deviation. | ||
| At the end of this lecture, we expect that students recognize the importance of the transition from descriptive statistics to inferential statistics and develop an understanding on how to measure the confidence we gain on population parameters through their predictors such as sample mean, sample proportion, and their two-population versions. |
| Teaching Methods: | |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Confidence Interval and its applications | Sampling Distribution and Central Limit Theorem |
| 2 | Hypothesis Testing and its applications | Concept of Confidence Interval |
| 3 | Analysis of Variance and Non-parametric tests | Z-test and T-test |
| 4 | Investigation of the association between two variables | Statistical Graphics and Tabulations |
| 5 | Introduction to Linear Regression Modeling | Mathematical Functions |
| 6 | Multivariable Linear Regression Models | Simple linear regression |
| 7 | Introduction to Logistic Regression Modelling | Linear regression modelling |
| Resources |
| 1. Jay Kerns: Introduction to Probability and Statistics Using R, 1st Edition, G. Jay Kerns, ISBN: 978-0557249794 2. Rosner B. Fundamentals of biostatistics. Cengage learning; 8th Edition, ISBN: 978-1305268920 |
| Course notes and presentations |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | PQ1: Knows the morphological and functional normal and abnormal structure of human body. | ||||||
| 2 | PQ2: Knows the essential ways of determining the underlying causes of the pathologies with basic scientific approaches and the diagnoses of illnesses and disorders. | X | |||||
| 3 | PQ3: Knows the reasons for illnesses, the ways of protection, and the methods of promotion and improvement of public health. | ||||||
| 4 | PQ4: Knows the methods of advancing his/her knowledge about health and its practice. | X | |||||
| 5 | PQ5: Accesses, interprets and applies the advanced interdisciplinary information related to health. | X | |||||
| 6 | PQ6: Performs a complete clinical examination of the human body, both morphologically and functionally and defines the problems. | ||||||
| 7 | PQ7: Interprets examination data for diagnoses, compares with clinical data, and provides solutions. | X | |||||
| 8 | PQ8: Selects and applies appropriate tools for promotion and improvement of individual and public health. | ||||||
| 9 | PQ9: Plans and conducts an advanced study of health independently. | ||||||
| 10 | PQ10: Takes responsibility individually and as a team member to solve the problems encountered in the promotion and improvement of individual and public health. | ||||||
| 11 | PQ11: Takes responsibility for any intervention on the human body for the diagnosis and treatment. | ||||||
| 12 | PQ12: Determines personal learning requirements and decides and develops a positive lifelong learning attitude. | X | |||||
| 13 | PQ13: Evaluates the information gained in the field of health with a critical approach. | X | |||||
| 14 | PQ14: Informs the patient, the relevant people and institutions, and the public about the health problem and conveys recommendations of solutions in writing and/or verbally. | ||||||
| 15 | PQ15: Shares their recommendations on promotion and improvement of health with interdisciplinary experts by supporting with data. | X | |||||
| 16 | PQ16: Uses English at least at the General Level of European Language Portfolio B1, follows resources in his/her field and communicates. | ||||||
| 17 | PQ17: Uses computer software, information, and communication technologies at least at the Advanced Level of European Computer Operating License. | ||||||
| 18 | PQ18: Acts in accordance with social, scientific, cultural and ethical values in the stages of obtaining, interpreting, applying and announcing the data related to the field of health. | X | |||||
| 19 | PQ19: Develops strategy, policy and implementation plans on health issues and evaluate the results obtained the framework of quality processes. | ||||||
| 20 | PQ20: Systematically shares his/her works on promoting and improving health with quantitative and qualitative data and interdisciplinary experts. | X | |||||
| 21 | PQ21: Has sufficient awareness on occupational health and safety issues. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 8 | 2 | 16 | |||
| Guided Problem Solving | 2 | 2 | 4 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Term Project | 1 | 8 | 8 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 4 | 4 | |||
| General Exam | 1 | 8 | 8 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 40 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(40/30) | 1 | |||||
| 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 | - | Yearly | 13+2 | - | 1 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Committee Course |
| Course Coordinator | Prof.Dr. Mehmet KOÇAK |
| Name of Lecturer(s) | Prof.Dr. Abdulbari BENER, Prof.Dr. Mehmet KOÇAK |
| Assistant(s) | |
| Aim | This course begins with the introduction of basic statistical concepts, types of measurements and sampling strategies used in statistical analysis and types of research design, followed by examples of statistical graphics. Descriptive statistics as the first step in data analysis will be defined and examples will be discussed. After a brief introduction to the concept of probability, we will discuss some of the most commonly used probability distributions in statistical analysis, testing and modeling, such as Bernoulli, Binomial, Negative Binomial, Hypergeometric, Gaussian (Normal), Student-t, Chi-Square and F distributions. In the light of sampling distributions and the Central Limit Theorem, we will move from descriptive statistics to inferential statistics and introduce the concept of confidence intervals and hypothesis testing. |
| Course Content | This course contains; Confidence Interval and its applications,Hypothesis Testing and its applications,Analysis of Variance and Non-parametric tests,Investigation of the association between two variables,Introduction to Linear Regression Modeling,Multivariable Linear Regression Models ,Introduction to Logistic Regression Modelling . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| At the end of this lecture, we expect that students acquire the meaning of basic terms in biostatistics, recognize basic statistics, and develop an understanding of the utility of statistical graphics. | ||
| At the end of this lecture, we expect that students distinguish different sampling methods, their advantages and disadvantages in different circumstances, develop understanding for various types of biases in research. | ||
| At the end of this lecture, we expect that students develop an understanding of the theoretical and practical meaning of probability and recognize and appreciate probability laws. | ||
| At the end of this lecture, we expect that students recognize different random variables, build familiarity with their probabilistic characteristics. | ||
| At the end of this lecture, we expect that students develop a recognition of the importance and utility of the Central Limit Theorem and understand the mechanisms behind the probability distributions of sample statistics such as sample mean, sample proportion, and sample standard deviation. | ||
| At the end of this lecture, we expect that students recognize the importance of the transition from descriptive statistics to inferential statistics and develop an understanding on how to measure the confidence we gain on population parameters through their predictors such as sample mean, sample proportion, and their two-population versions. |
| Teaching Methods: | |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Confidence Interval and its applications | Sampling Distribution and Central Limit Theorem |
| 2 | Hypothesis Testing and its applications | Concept of Confidence Interval |
| 3 | Analysis of Variance and Non-parametric tests | Z-test and T-test |
| 4 | Investigation of the association between two variables | Statistical Graphics and Tabulations |
| 5 | Introduction to Linear Regression Modeling | Mathematical Functions |
| 6 | Multivariable Linear Regression Models | Simple linear regression |
| 7 | Introduction to Logistic Regression Modelling | Linear regression modelling |
| Resources |
| 1. Jay Kerns: Introduction to Probability and Statistics Using R, 1st Edition, G. Jay Kerns, ISBN: 978-0557249794 2. Rosner B. Fundamentals of biostatistics. Cengage learning; 8th Edition, ISBN: 978-1305268920 |
| Course notes and presentations |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | PQ1: Knows the morphological and functional normal and abnormal structure of human body. | ||||||
| 2 | PQ2: Knows the essential ways of determining the underlying causes of the pathologies with basic scientific approaches and the diagnoses of illnesses and disorders. | X | |||||
| 3 | PQ3: Knows the reasons for illnesses, the ways of protection, and the methods of promotion and improvement of public health. | ||||||
| 4 | PQ4: Knows the methods of advancing his/her knowledge about health and its practice. | X | |||||
| 5 | PQ5: Accesses, interprets and applies the advanced interdisciplinary information related to health. | X | |||||
| 6 | PQ6: Performs a complete clinical examination of the human body, both morphologically and functionally and defines the problems. | ||||||
| 7 | PQ7: Interprets examination data for diagnoses, compares with clinical data, and provides solutions. | X | |||||
| 8 | PQ8: Selects and applies appropriate tools for promotion and improvement of individual and public health. | ||||||
| 9 | PQ9: Plans and conducts an advanced study of health independently. | ||||||
| 10 | PQ10: Takes responsibility individually and as a team member to solve the problems encountered in the promotion and improvement of individual and public health. | ||||||
| 11 | PQ11: Takes responsibility for any intervention on the human body for the diagnosis and treatment. | ||||||
| 12 | PQ12: Determines personal learning requirements and decides and develops a positive lifelong learning attitude. | X | |||||
| 13 | PQ13: Evaluates the information gained in the field of health with a critical approach. | X | |||||
| 14 | PQ14: Informs the patient, the relevant people and institutions, and the public about the health problem and conveys recommendations of solutions in writing and/or verbally. | ||||||
| 15 | PQ15: Shares their recommendations on promotion and improvement of health with interdisciplinary experts by supporting with data. | X | |||||
| 16 | PQ16: Uses English at least at the General Level of European Language Portfolio B1, follows resources in his/her field and communicates. | ||||||
| 17 | PQ17: Uses computer software, information, and communication technologies at least at the Advanced Level of European Computer Operating License. | ||||||
| 18 | PQ18: Acts in accordance with social, scientific, cultural and ethical values in the stages of obtaining, interpreting, applying and announcing the data related to the field of health. | X | |||||
| 19 | PQ19: Develops strategy, policy and implementation plans on health issues and evaluate the results obtained the framework of quality processes. | ||||||
| 20 | PQ20: Systematically shares his/her works on promoting and improving health with quantitative and qualitative data and interdisciplinary experts. | X | |||||
| 21 | PQ21: Has sufficient awareness on occupational health and safety issues. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |