| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics | DIY205 | Compulsory | Bachelor's degree | 2 | Fall | 3 |
Name of Lecturer(s)
Associate Prof. Dr. Aysen ŞİMŞEK KANDEMİR
Lecturer Güneyhan TOL
Learning Outcomes of the Course Unit
1) Define statistics
2) Apply some of the statistical techniques
3) Define data
4) Apply fundamental techniques to data for definition and better representation
5) Use inferential statistics and hypothesis testing
6) makes a hypothesis test, Describe the relationship between the variables
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||
| 1 | 2 | 3 | ||
| Learning Outcomes | ||||
| 1 | High | Middle | No relation | |
| 2 | No relation | No relation | No relation | |
| 3 | High | No relation | No relation | |
| 4 | No relation | No relation | No relation | |
| 5 | No relation | High | No relation | |
| 6 | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
research methods
Course Contents
tax, judiciary, industrial and agricultural production, population, disease etc. Collecting the field information, facts, etc., in a methodical way with the aim of making a conclusion, and showing them in numbers.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required