| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Occupational Health And Job Security | SOG1512 | 2. Semester | 1 + 1 | 2.0 | 4.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Associate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Lect. Fisun KAŞKIR KESİN |
| Instructor(s) |
Fisun KAŞKIR KESİN |
| Assistants | |
| Goals | Both in business, as well as various organizations in decision-making for the best employees need data that has been collected can be, with the ability to gain the storing and processing. |
| Course Content | Definition of Statistics, basic concepts used, data types and methods of collecting, organizing data, measures of central tendency, dispersion, estimation theory, correlation analysis, it is aimed to teach the regression analysis and indexes |
| Learning Outcomes |
- The decision to collect the data that will be used in the making - Bringing the person regularly to provide relevant data collected at the plant and shown in various graphic media - using measures of central tendency and dispersion which is concentrated around the value of the data group and showed how distribution - Determining the function of the sample selected from the group which carried out the research could be used in research - Which of these functions selected for research, which is more appropriate to use the case and the determination of superiority to each other - determining the relationship between decision variables used in the process |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | The definition of statistics, variable populations, unit, unit selection and compilation of data types | |
| 2. Week | Series in Statistics; time, place and distribution series, accumulated series, composite series and this series is shown in a graphical environment | |
| 3. Week | Sensitive averages; the arithmetic mean, weighed arithmetic mean, geometric mean and mean square | |
| 4. Week | Non-sensitive average; mode and median | |
| 5. Week | Change range, standard deviation, coefficient of variation, variance | |
| 6. Week | Estimation theory | |
| 7. Week | Hypothesis testing to determine the level of significance | |
| 8. Week | Chi-square test | |
| 9. Week | Midterm | |
| 10. Week | Case studies | |
| 11. Week | Case studies | |
| 12. Week | Correlation analysis | |
| 13. Week | Regression analysis | |
| 14. Week | indexes | |
| 15. Week | Case studies | |
| 16. Week | Final Exam |
| - |
| Nemci GÜRSAKAL(2000), İstatistiğin ABC’si, Marmara Kitabevi. |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | Measurement Method |
|---|---|---|---|---|---|---|---|---|
| PY1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY6 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY7 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY13 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY15 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 14 | 2 | 28 |
| Preparation, After Class Study | 14 | 2 | 28 |
| Midterm 1 | 1 | 14 | 14 |
| Final | 1 | 20 | 20 |
| Total Workload | 90 | ||
| ECTS Credit of the Course | 4.0 | ||
