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Information
| Unit | CEYHAN FACULTY OF VETERINARY |
| Veterinary PR. | |
| Code | VET223 |
| Name | Biostatistics |
| Term | 2017-2018 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 1-2 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doçent PINAR DEMİR |
| Course Instructor |
Doçent PINAR DEMİR
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is students will learn the role and importance of statistics in health field studies, learn the use of statistics in health field and analysis methods, and use comprehensive biostatistics topics in health field.
Course Content
Basic concepts in statistics Descriptive statistics Universe and example, concept Comparison of the ratio of the two groups Comparison of the average of the two groups Comparison of multiple group averages Correlation, regression Making tables and graphics
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | To understand the importance of statistical science in health sciences |
| LO02 | Statistical methods and principles |
| LO03 | To be able to list descriptive statistical methods |
| LO04 | To be able to identify the universe in research and to get enough samples with this method |
| LO05 | Comparing the independent and independent two groups averages |
| LO06 | Comparing dependent and independent group rates |
| LO07 | Searching for the relationship between dependent and independent variables |
| LO08 | To make tables and graphics |
| LO09 | interpret statistical results correctly |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definition of Biostatistics, Preference, Objectives | lecture notes | |
| 2 | Data Sources and Data Collection Methods | lecture notes | |
| 3 | Classification of Data, Tables and Graphics Indicate | lecture notes | |
| 4 | Central Tendency Measurements | lecture notes | |
| 5 | Dispersion Measurements | lecture notes | |
| 6 | Sampling | lecture notes | |
| 7 | T test | lecture notes | |
| 8 | Midterm exam | Midterm exam | |
| 9 | Chi square test | lecture notes | |
| 10 | Varyans anova | lecture notes | |
| 11 | Non parametric tests | lecture notes | |
| 12 | Correlation Analysis | lecture notes | |
| 13 | Forecasting Methods | lecture notes | |
| 14 | Regression Analysis | lecture notes | |
| 15 | Regression Analysis | Final exam | |
| 16 | Final exam | Final exam | |
| 17 | Final exam | Final exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |