| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics | IYP150 | Compulsory | Associate degree | 2 | Fall | 3 |
Name of Lecturer(s)
Associate Prof. Dr. Sinan AYDIN
Associate Prof. Dr. Fatma OĞUZ ERDOĞAN
Associate Prof. Dr. Aysen ŞİMŞEK KANDEMİR
Assistant Prof. Dr. Barış AKSU
Assistant Prof. Dr. Tülin BAYRAKTAR
Assistant Prof. Dr. CEM ERKEBAY
Assistant Prof. Dr. Cengiz GÜNEY
Assistant Prof. Dr. Okan ŞENELDİR
Lecturer Güler DİNÇEL
Lecturer Kazım KAHRAMAN
Lecturer Hüseyin SOYDAŞ
Lecturer Vasfi Nadir TEKİN
Lecturer Dr. Barış DEMİR
Lecturer Dr. Şebnem ERKEBAY
Lecturer Dr. ÇIĞDEM TÜRKSÖNMEZ
Learning Outcomes of the Course Unit
1) Use the statistics at daily and business life.
2) Collect relevant data about the event by using appropriate techniques.
3) Present the relevant data with the help of graphics and tables.
4) Calculate the means and deviations.
5) Interpret the results obtained by analyzing the period of the current and future.
6) Determine the relationships between the variables used in the decision making process.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | ||
| Learning Outcomes | ||||||||||||||||
| 1 | No relation | Middle | No relation | Middle | No relation | No relation | No relation | No relation | Low | No relation | No relation | Low | No relation | High | No relation | |
| 2 | No relation | Middle | No relation | Middle | No relation | No relation | No relation | No relation | Low | No relation | No relation | Low | No relation | High | No relation | |
| 3 | No relation | Middle | No relation | Middle | No relation | No relation | No relation | No relation | Low | No relation | No relation | Low | No relation | High | No relation | |
| 4 | No relation | Middle | No relation | Middle | No relation | No relation | No relation | No relation | Low | No relation | No relation | Low | No relation | High | No relation | |
| 5 | No relation | Middle | No relation | Middle | No relation | No relation | No relation | No relation | Low | No relation | No relation | Low | No relation | High | No relation | |
| 6 | No relation | Middle | No relation | Middle | No relation | No relation | No relation | No relation | Low | No relation | No relation | Low | No relation | High | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
This course includes the definition of statistics, the basic concepts, data types and collection methods, data organization, measures of central tendency, measures of dispersion, estimation theory, correlation analysis, regression analysis and indexes.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
30% |
|---|---|
Contribution of Final Examination to Course Grade |
70% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required