| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics | OMP108 | Compulsory | Associate degree | 1 | Spring | 3 |
Name of Lecturer(s)
Associate Prof. Dr. Aysen ŞİMŞEK KANDEMİR
Associate Prof. Dr. Tekin YEKEN
Assistant Prof. Dr. Hale BÜTÜN BAYRAM
Assistant Prof. Dr. Ertan MERT
Assistant Prof. Dr. Cüneyt YAZICI
Assistant Prof. Dr. Ahmet Cem YOĞURTÇUOĞLU
Lecturer Yasemin ASLAN
Lecturer Nevin GÜCÜYENER
Lecturer Melek KAYA
Lecturer Meryem KÜÇÜK
Lecturer Hüseyin SOYDAŞ
Lecturer Ersen TİRYAKİ
Lecturer Dr. Barış DEMİR
Learning Outcomes of the Course Unit
1) Gather the data to be used in decision making process
1) Gather the data to be used in decision making process
1) Gather the data to be used in decision making process
2) Show the data collected in operation and displaying the data in various graphics
2) Show the data collected in operation and displaying the data in various graphics
2) Show the data collected in operation and displaying the data in various graphics
3) Use central trends and distribution measurements
3) Use central trends and distribution measurements
3) Use central trends and distribution measurements
4) Determine functions to be used in research belonging to the sample selected among the group research will be conducted
4) Determine functions to be used in research belonging to the sample selected among the group research will be conducted
4) Determine functions to be used in research belonging to the sample selected among the group research will be conducted
5) Determine which functions selected concerning the research will be used in which situations and determining superiority to each other
5) Determine which functions selected concerning the research will be used in which situations and determining superiority to each other
5) Determine which functions selected concerning the research will be used in which situations and determining superiority to each other
6) Determine relations between variants used in decision making process
6) Determine relations between variants used in decision making process
6) Determine relations between variants used in decision making process
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
| Learning Outcomes | ||||||||||
| 1 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 1 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 1 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | Low | 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
Data Analysis with SPSS
Course Contents
It is aimed that definition of statistics, basic concepts used, data types, and gathering methods, organizing data, central trend measures, distribution measures, estimation theory, correlation analysis, regression analysis and indexes will be taught.
Weekly Schedule
1) Definition of statistics, variant, main mass, unit election, and data derivation types2) Series in statistics, time, place and distribution series, accumulated series, compound series and showing these series in graphics
3) Sensitive averages, arithmetic average, arithmetic average with weight, geometric average and square average
4) Non-sensitive average; mode and median
5) Variation interval, standard deviation, variation index, variance
6) Estimation theory
7) Determining hypothesis tests relevance levels
8) Midterm examination/Assessment
9) Chi-square test
10) Sample practice works
11) Correlation analysis
12) Regression analysis
13) Indexes
14) Sample practice applications
15) Application
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Lecture
3) Lecture
4) Lecture
5) Question-Answer
6) Question-Answer
7) Question-Answer
8) Question-Answer
9) Discussion
10) Discussion
11) Discussion
12) Discussion
13) Drill and Practice
14) Drill and Practice
15) Drill and Practice
16) Drill and Practice
17) Group Study
18) Group Study
19) Group Study
20) Group Study
21) Brain Storming
22) Brain Storming
23) Brain Storming
24) Brain Storming
25) Case Study
26) Case Study
27) Case Study
28) Case Study
29) Self Study
30) Self Study
31) Self Study
32) Self Study
33) Problem Solving
34) Problem Solving
35) Problem Solving
36) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
20% |
|---|---|
Contribution of Final Examination to Course Grade |
80% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required