| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Computerized Statistics | SYP211 | Compulsory | Bachelor's degree | 2 | Fall | 5 |
Name of Lecturer(s)
Prof. Dr. Serap ÇOLAK
Learning Outcomes of the Course Unit
1) Define the basic concepts of statistics.
2) Explain the statistical methods.
3) Analyze the functioning of the SPSS program.
4) Apply statistical techniques in SPSS.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | ||
| Learning Outcomes | |||||||||||||||
| 1 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | No relation | |
| 2 | 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 | High | |
| 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 | High | |
| 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 | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Scientific research techniques, statistics, research projects,
Course Contents
Definition of Statistics: Fundamental concepts in statistics, Data collection techniques, Classification of data, Frequency distributions; Graphs; Averages; Means; Variability: Range, Standard deviation, Moments; Normal Distribution: Normal distribution function, Calculation of the area under the normal curve; Sampling Theory; Indexes: Types of indexes.
Weekly Schedule
1) Statistical description, where they are used, the general concepts2) Measures of central tendency to learn. Learn to be able to process them.
3) Learn to apply measures of central tendency in SPSS.
4) Distribution of the definition of the dimensions of what is used for, learn how to calculate.
5) Distribution learns the implementation of measures in SPSS.
6) The definition of the normal distribution, operations, where used to learn.
7) Learns the application of the normal distribution in SPSS.
8) Midterm examination/Assessment
9) Parametric tests definition, usage
10) Application of parametric tests in SPSS
11) Application and interpretation of parametric tests using the SPSS program
12) Application and interpretation of parametric tests using the SPSS program
13) Definition and use of non-parametric tests
14) Interpretation and application of non-parametric tests using SPSS software
15) Interpretation and application of non-parametric tests using SPSS software
16) Final examination
Recommended or Required Reading
1- Pallant, J., (Çevirenler. Balcı, S., Ahi, B.). SPSS Kullanma Kılavuzu, Spss ile adım adım veri analizi.Anı yayıncılık, Ankara,2016
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Drill and Practice
4) Case Study
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