| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics | CKP122 | Elective | Associate degree | 1 | Spring | 3 |
Name of Lecturer(s)
Lecturer Dr. Ayça Naciye TOKSÖZ
Learning Outcomes of the Course Unit
1) Recognize the importance of scientific research.
2) Build a relationship between scientific research and statistics.
3) Describe the using areas of statistics.
4) Obtain the ability to interpretation of statistical measures.
5) Have knowledge of probability.
6) Provide expert advice to fellow investigators on design and data analysis in the environmental areas.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | ||
| Learning Outcomes | ||||||||||||||||||
| 1 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
| 2 | Low | No relation | Low | Low | No relation | Low | No relation | No relation | No relation | Low | No relation | Low | No relation | Low | No relation | Low | Low | |
| 3 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
NONE
Course Contents
Topics include basic concepts of statistics, classification of data, the compose of frequency tables, mean, weighted mean, geometric mean, harmonic mean, mode, median, distribution measures (range, variance, standard deviation, standard error), regression analysis, correlation analysis, probability
Weekly Schedule
1) Basic concepts of statistics2) classification of data
3) The compose of frequency tables
4) Practices
5) mean, weighted mean, geometric mean, harmonic mean
6) Mode, median
7) distribution measures (range, variance, standard deviation, standard error)
8) Midterm examination/Assessment
9) Graphics
10) Practices
11) Ratios
12) regression analysis, correlation analysis
13) Probability
14) Practices
15) Practices
16) Final examination
Recommended or Required Reading
1- Ders Notu
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required