| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistics | ZDF102 | Turkish | Compulsory | 2. Semester | 3 + 0 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face and through projections slide, texts and using additional resources such as book |
| Course Coordinator | |
| Instructor(s) | |
| Goals | Student enables information about the basic statistical concepts and methods and they learn implementation and interpretation of these basic statistical methods. |
| Course Content | Indroduction to statistical analyses, general terms, presentation of data and summarization, identifcate statistics, probability and their distrubitions (binomial, poissonial and normal), statistical comments, hipothesis, analyses of the regression and correlations, analyses of the data. |
| # | Öğrenme Kazanımı |
| 1 | Students learn the basic concepts of statistics |
| 2 | Establish statistical estimation and hypothesis |
| 3 | Understand to application of basic statistical methods |
| 4 | Learn to evaluation of statistical outputs |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Basic terms and definitions | |
| 2. Week | Variable types, frequency distributions, descriptive statistics for example, mode, median, | |
| 3. Week | Change measures, the change range, standard deviation, variance | |
| 4. Week | The theory of probability and chance variables, event, probability, determining the number of events | |
| 5. Week | Discrete chance variables, continuous chance variables | |
| 6. Week | Probability distributions for discrete variables, binomial distributions, Poisson distributions | |
| 7. Week | Uniform distribution, gamma type of probability distributions, Weibull probability distribution, implementation of normal distribution to Binomial distribution | |
| 8. Week | Midterm exam | |
| 9. Week | Statistical interpretation, statistical estimator types, point and interval estimation for the average population | |
| 10. Week | Hypothesis testing, large and small sample tests, t distribution, the comparison of two means | |
| 11. Week | The chi-square distribution, confidence intervals for variance and controls for hypothesis testing, comparison of two variance and F test | |
| 12. Week | The relationship between variables, linear relations, examination of the regression equation | |
| 13. Week | Correlation, the correlation coefficient calculation, control and homogeneity testing | |
| 14. Week | Trial design and analysis, randomized plots and blocks, Latin square design experiment, comparing the averages |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Skill of apply basic science and engineering knowledge and principles to Agricultural Engineering problems | ✔ | |||||
| 2 | Ability of recognize pathogens, pests, weeds and beneficial organisms frequently seen agricultural fields at microscopic and macroscopic level and able to determine level of damage/benefit together with widespread cases. | ✔ | |||||
| 3 | Having knowledge about the techniques in agricultural production process, identify the basic problems related to the process and the ability to use modern computational tools and techniques in solution of these problems | ✔ | |||||
| 4 | Skill of execute taking into account technical and scientific information defined by current proposals for solving the problems of crop protection, sustainable agriculture, the environment and human health and food safety | ✔ | |||||
| 5 | Disciplinary and interdisciplinary teamwork ability, to act independently required, have the initiative and creativity skills, ability of communicate acts express of ideas as verbally and written, clear and concise. | ✔ | |||||
| 6 | Skill of follow the current national and international problem | ✔ | |||||
| 7 | Recognize of importance of lifelong learning | ✔ | |||||
| 8 | Self-development skill following the developments in science and technology | ✔ | |||||
| 9 | Ability of awareness of professional ethics and quality systems in agriculture | ✔ | |||||
| 10 | Business ethics and responsibility | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 4 | 4 | 4 | 4 |
| PY2 | 4 | 4 | 4 | 4 |
| PY3 | 4 | 4 | 4 | 4 |
| PY4 | 4 | 4 | 4 | 4 |
| PY5 | 4 | 4 | 4 | 4 |
| PY6 | 4 | 4 | 4 | 4 |
| PY7 | 3 | 3 | 3 | 3 |
| PY8 | 4 | 4 | 4 | 4 |
| PY9 | 4 | 4 | 4 | 4 |
| PY10 | 4 | 4 | 4 | 4 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Preparation, After Class Study | 10 | 1 | 10 |
|
Sınavlar |
Midterm 1 | 1 | 20 | 20 |
| Final | 1 | 30 | 30 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
