| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistics | ISL245 | 3. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Lecture |
| Course Coordinator |
Assoc. Prof. Dr. İsmail DURAK |
| Instructor(s) |
İsmail DURAK |
| Assistants | |
| Goals | The course aims to help students to comprehend the plan of the future by using numerical data. The aim of this course is to teach the basic concepts of statistics, descriptive data analysis, sampling, regression and variance analysis. |
| Course Content | The statistics course covers an area that focuses on developing data analysis and interpretation skills. |
| Learning Outcomes |
- Decision problems in obtaining the information necessary to define the basic data structures and to reveal differences. - Statistical data summarization and classification tools and methods put forward. Apply a statistical approach to the process of knowledge production. - Describe the basic concepts of statistics. - Social sciences to demonstrate statistical decision problem or thesis. - Clarify the relationship between the variables |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Introduction to Statistics | |
| 2. Week | Frequency Distributions | |
| 3. Week | Averages and Other Central Tendency Measures | |
| 4. Week | Averages and Other Central Tendency Measures | |
| 5. Week | Standard Deviation and Other Propagation Measurements | |
| 6. Week | Standard Deviation and Other Propagation Measurements (A technical tour is planned in Düzce) | |
| 7. Week | Moment and Skewness | |
| 8. Week | midterm exam | |
| 9. Week | Basic Probability Theory | |
| 10. Week | Basic Probability Theory | |
| 11. Week | Technical tour | |
| 12. Week | Binomial, Normal and Poisson Distributions | |
| 13. Week | Binomial, Normal and Poisson Distributions | |
| 14. Week | Binomial, Normal and Poisson Distributions |
| Ümit Şenesen (2002). Statistics for Business and Economics |
| İşletme İstatistiğinin Temelleri, Bowerman O’ Connel (Çev. Neyran Orhunbilge), Nobel, Ankara, (2013). |
| Applied Statistics, David M. Levine, Patricia P. Ramsey, Robert K. Smidt, Prentice Hall, (2001) |
| The Basic Practice of Statistics, 3rd. Edition, Moore DS. (2003). |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | Measurement Method |
|---|---|---|---|---|---|---|---|
| PY1 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY2 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY3 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY4 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY5 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY6 | 3 | 0 | 0 | 0 | 0 | 0 | - |
| PY7 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY8 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY9 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY10 | 1 | 0 | 0 | 0 | 0 | 0 | - |
| PY11 | 4 | 0 | 0 | 0 | 0 | 0 | - |
| PY12 | 4 | 0 | 0 | 0 | 0 | 0 | - |
| PY13 | 2 | 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) |
|---|---|---|---|
| Midterm 1 | 1 | 2 | 2 |
| Homework 1 | 14 | 2 | 28 |
| Homework 2 | 1 | 25.5 | 25.5 |
| Final | 1 | 2 | 2 |
| Practice End-Of-Term | 14 | 2 | 28 |
| Classroom Activities | 14 | 3 | 42 |
| Total Workload | 127.5 | ||
| ECTS Credit of the Course | 5.0 | ||
