Rapor Tarihi: 27.03.2026 01:39
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistics I | ECON205 | Turkish | Compulsory | 3. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | Öğr. Gör. Nilay KOYUNCU YEMENİCİ |
| Instructor(s) | Öğr. Gör. Nilay KOYUNCU YEMENİCİ (Güz) |
| 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 | What is statistics? Measurement, Data and Variables. Tables and Graphs. Probability. Bayes's Theorem. Probability Distributions. |
| # | Öğrenme Kazanımı |
| 1 | Students can explain the importance of quantitative analysis tools used in social sciences. |
| 2 | Students can generate prudential estimations through historical data using probability theory. |
| 3 | Students can apply the process that combines data collection, classification, making charts, analyzing with simple methods and reporting. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | What is statistics? History and importance. | |
| 2. Week | Basic terms of statistics and levels of measurement. | |
| 3. Week | Organizing data and statistic distibutions. | |
| 4. Week | Graphical presentation of distributions | |
| 5. Week | Means: Arithmetic mean, Weighted mean, Geometric mean and Kuadratic mean. | |
| 6. Week | Means: median and mode | |
| 7. Week | Measures af dispersion: Variance, Standard deviation and modified ranges | |
| 8. Week | MIDTERM EXAM | |
| 9. Week | Measures of skewness 1 | |
| 10. Week | Measures of skewness 2 | |
| 11. Week | Probability: Calculating probability and conditional probability 1 | |
| 12. Week | Probability: Calculating probability and conditional probability 2 | |
| 13. Week | Probability Distribution: binomial and poisson probability distribution | |
| 14. Week | Probability Distribution: normal distribution |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Know the basic concepts of economics at an advanced level; can abstract the economic decision-making units in households, firms, government agencies, and predict the results of their decision-making mechanisms in different market and competition conditions. | ✔ | |||||
| 2 | Understand the objectives of economies such as growth, employment, productivity, sustainability; may propose solutions to problems such as unemployment, contraction, inflation, high interest rates and similar problems. | ✔ | |||||
| 3 | Capable to make sense of the international interactions of national economies with an international economic perspective. | ✔ | |||||
| 4 | Have knowledge about the historical development of the world economy and its current structure, understand the working process of different economic systems. | ✔ | |||||
| 5 | Can combine economic theory with mathematical, statistical and econometric skills to analyze concrete situations; are experienced in economic data collection and analysis methods by utilyzing technology. | ✔ | |||||
| 6 | Analyze the different sectors of the economy such as agriculture, industry and services through the Production Factors such as Labor, Capital, Natural Resource, Information and Entrepreneurship and evaluate the country economies. | ✔ | |||||
| 7 | Know the current status, historical background, the strengths and weaknesses of Turkish economy in macro and micro scale; can propose solutions, make theoretical and applied studies in this direction as individuals and teams. | ✔ | |||||
| 8 | Know the relations of economics as a social science with other sciences especially with politics, business administration, law, history, mathematics and engineering; reflect the theoretical knowledge in practice and have collaborative working culture. | ✔ | |||||
| 9 | Have the consciousness of lifelong learning, use the education to keep knowledge updated and contribute to the business life. | ✔ | |||||
| 10 | Have the cultural consciousness, know their own history, develop awareness of working with different cultures, respect individual, social and cultural rights. | ✔ | |||||
| 11 | Behave in accordance with ethical values in their works, have the ability of questioning, free thinking with no prejudices. | ✔ | |||||
| 12 | Have the consciousness of fulfilling the given tasks at the right time. In this process, utilize in maximum written, visual, audio sources and information-communication technologies. | ✔ | |||||
| 13 | Have the experience and ability to explain what they learn in written, oral and visual manner. | ✔ | |||||
| 14 | Use the Turkish and English language properly and effectively, and pursue professional readings in double language. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 |
|---|---|---|---|
| PY1 | 2 | 2 | 2 |
| PY2 | 2 | 2 | 2 |
| PY3 | 1 | 1 | 1 |
| PY4 | 1 | 1 | 1 |
| PY5 | 5 | 5 | 5 |
| PY6 | 2 | 2 | 2 |
| PY7 | 3 | 3 | 3 |
| PY8 | 5 | 5 | 5 |
| PY9 | 3 | 3 | 3 |
| PY10 | 1 | 1 | 1 |
| PY11 | 4 | 4 | 4 |
| PY12 | 3 | 3 | 3 |
| PY13 | 5 | 5 | 5 |
| PY14 | 1 | 1 | 1 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Güz Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Öğr. Gör. Nilay KOYUNCU YEMENİCİ | Vize | 30.00 | |
| Öğr. Gör. Nilay KOYUNCU YEMENİCİ | Ödev | 20.00 | |
| Öğr. Gör. Nilay KOYUNCU YEMENİCİ | Devam | 20.00 | |
| Öğr. Gör. Nilay KOYUNCU YEMENİCİ | Final | 30.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Sınavlar |
Midterm | 1 | 20 | 20 |
| Homework | 14 | 2 | 28 | |
| Homework Preparation | 1 | 7.5 | 7.5 | |
| Final | 1 | 30 | 30 | |
| Classroom Activities | 14 | 3 | 42 | |
| Total Workload | 127.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 5.0 | ||
