Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
STATISTICS | HİT2109 | 2. Semester | 2 + 0 | 2.0 | 2.0 |
Prerequisites | None |
Language of Instruction | Turkish |
Course Level | Associate |
Course Type | |
Mode of delivery | Face to face |
Course Coordinator |
Lect. Semih BAKLAN |
Instructor(s) |
Semih BAKLAN |
Assistants | |
Goals | Students will be able to determine descriptive statistical information according to the acquired theoretical knowledge, determine the most appropriate descriptive statistical tools and use them; According to the problem situation, the analysis program that will use the purpose, method, scope, sample and data collection techniques of the research, and the analysis method to be applied, will be able to process the collected data into package programs, make bivariate analysis of the data, interpret and report the findings. |
Course Content | Basic Concepts, Arrangement of Data, Measures of Central Tendency, Measures of Central Distribution, Probability Infinite and Timed Distributions, Poisson Distribution, Hypergeometric Distribution, Normal Distribution, Hypothesis Tests, Correlation Test Technique, Linear Regression Technique. |
Learning Outcomes |
- - - - - - - - |
Week | Topics | Learning Methods |
---|---|---|
1. Week | ||
2. Week | ||
3. Week | ||
4. Week | ||
5. Week | ||
6. Week | ||
7. Week | ||
8. Week | Midterm Exam | |
9. Week | ||
10. Week | ||
11. Week | ||
12. Week | ||
13. Week | ||
14. Week |
Program Requirements | Contribution Level | DK1 | Measurement Method |
---|---|---|---|
PY1 | 4 | - | - |
PY2 | 1 | - | - |
PY3 | 4 | - | - |
PY4 | 2 | - | - |
PY5 | 5 | - | - |
PY6 | 2 | - | - |
PY7 | 4 | - | - |
PY8 | 4 | - | - |
PY9 | 1 | - | - |
PY10 | 1 | - | - |
PY11 | 2 | - | - |
PY12 | 1 | - | - |
PY13 | 3 | - | - |
PY14 | 1 | - | - |
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 | 10 | 10 |
Homework 1 | 1 | 2 | 2 |
Homework 2 | 1 | 1 | 1 |
Final | 1 | 10 | 10 |
Classroom Activities | 14 | 2 | 28 |
Total Workload | 51 | ||
ECTS Credit of the Course | 2.0 |