| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Applied Statistics | TIY148 | Elective | Master's degree | 1 | Spring | 7 |
Name of Lecturer(s)
Prof. Dr. Bilsen BİLGİLİ
Learning Outcomes of the Course Unit
1) To make statistical analyses using correlation and simple and multiple regression methods.
2) To summarize, demonstrates and technically interprets results of regression analyses.
3) To make analyses using time series methods.
4) To apply all analysis methods learned using statistical software packages.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||
| 1 | 2 | 3 | 4 | 5 | 6 | ||
| Learning Outcomes | |||||||
| 1 | No relation | High | High | High | High | Middle | |
| 2 | High | High | High | High | High | High | |
| 3 | High | Middle | Middle | High | High | Middle | |
| 4 | High | High | High | Middle | Middle | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Descriptive statistics, sampling theory, estimation and testing the population parameters, regression correlation analysis and basic time series analysis techniques will be studied. Applied computer software (R) examples will be used during the class time.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required