BÄ°S735 - BIOSTATISTICS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| BIOSTATISTICS | BÄ°S735 | Any Semester/Year | 3 | 0 | 3 | 7 |
| Prequisites | None | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion | |||||
| Instructor (s) | PROF. ERDEM KARABULUT, PhD - PROF. PINAR ÖZDEMİR, PhD - ASSOC. PROF. Osman DAĞ, PhD | |||||
| Course objective | Teaching basic statistics and biostatistics knowledge, to provide evaluating the studies from their own field about biostatistics. | |||||
| Learning outcomes |
| |||||
| Course Content | Basic statistical definitions, descriptive statistics of data set, theoretical distributions, sampling distributions, basic research designs, basic sampling methods, hypothesis tests, measures of association, regression analysis, definition and calculation of the risk measures, confidence intervals of the risk measures, statistical methods for rates. | |||||
| References | Daniel, Wayne W. 0471525146 Biostatistics : a foundation for analysis in the health sciences John Wiley and Sons New York 1991 | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction, Descriptive and Inferential Statistics, Difference between Statistics and Biostatistics |
| Week 2 | Descriptive Statistics |
| Week 3 | Tables and graphics |
| Week 4 | Theoretical Distributions (Normal, Binomial and Poisson Distributions) |
| Week 5 | Sampling and Sampling distributions, standard error |
| Week 6 | Midterm exam |
| Week 7 | Introduction to hypothesis tests, Single Sample Tests |
| Week 8 | Two sample hypothesis tests |
| Week 9 | Hypothesis tests for more than two sample |
| Week 10 | Practice with Article Discussions |
| Week 11 | Midterm exam |
| Week 12 | Regression and correlation |
| Week 13 | Diagnostic tests measures of event-frequency |
| Week 14 | Advanced Topics in Biostatistics: (Logistic Regression and Cox Regression) |
| Week 15 | Preparation to final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 2 | 10 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 2 | 40 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 4 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 1 | 6 | 6 |
| Project | 0 | 0 | 0 |
| Homework assignment | 2 | 9 | 18 |
| Midterms (Study duration) | 2 | 15 | 30 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total Workload | 34 | 69 | 210 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Graduates of this program will have knowledge about the clinical neuro-electrophysiology. They will be able to make applications, seminars and courses, follow research and innovations at this scientific field. | X | ||||
| 2. Graduates of this program are capable of developing new projects and they will have theoretical knowledge and skills to evaluate the new projects in the field of neuro-electrophysiology. | X | ||||
| 3. Graduates of this program will learn interpretation of the EEG both at children and adults. They will have theoretical and practical knowledge about the he basic applications of EEG and activation methods and EEG monitoring | X | ||||
| 4. Graduates of this program will have theoretical and practical knowledge about nerve conduction techniques, needle electromyography, single fiber EMG, repetitive nerve stimulation, evoked potentials and autonomic tests. They are capable of performing this techniques and evaluating the results, and take on the responsibility of these applications in a stand-alone laboratory studies | X | ||||
| 5. Graduates of this program will have knowledge about device used in neuro-electrophysiology and indications for the use and can use them. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest