| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| MAT4069 | Statistics with Computers | Fall | 3 | 0 | 3 | 6 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi TUĞCAN DEMİR |
| Course Objectives: | This course aims to provide students with an overview of descriptive and inferential statistics; to expose students the statistical techniques; let students to learn how to use the SPSS (Statistical Package for the Social Sciences). |
|
The students who have succeeded in this course; The students who succeeded in this course; 1. will be able to explain the role of statistics. 2. will be able to decide on the statistical technique appropriate for a given research problem. 3. will be able to organize the statistical data. 4. will be able to use SPSS for his/her goal. 5. will be able to analyze the data collected for a research study in accordance with the research problems. 6. will be able to intrerpret the results of statistical analysis. 7. will be able to evaluate the statistical analysis in the research studies. |
| This course covers basic statistics subjects with SPSS applications for research studies like, organizing the data, measures of central tendency and variability, hypothesis testing, correlation, simple regression, analysis of variance and chi-square distribution with SPSS applications. |
| Week | Subject | Related Preparation | |
| 1) | Introduction, Course Overview - Subject List - Giving Information about the Academic Calendar and Lecturing, Meeting | ||
| 2) | Introduction to Statistics: Data, Parameter, Variable, Descriptive Statistics | ||
| 3) | Introduction to SPSS: SPSS menus, SPSS Data Entry | ||
| 4) | Introduction to SPSS: SPSS menus, SPSS Data Entry | ||
| 5) | Description of Data: Frequency Distribution, Measures of Central Tendency and Variability | ||
| 6) | Introduction to Numerical Methods for Data Analysis (parametric tests) | ||
| 7) | Dependent Two-sample t-test, independent two-sample t-test and SPSS Applications | ||
| 8) | Single Factor Analysis of Variance (ANOVA) and SPSS Applications | ||
| 9) | Single Factor Analysis of covariance (ANCOVA) and SPSS Applications | ||
| 10) | Multivariate Analysis of Variance (MANOVA) and SPSS Applications | ||
| 11) | Non-Parametric Statistics | ||
| 12) | Non-Parametric Statistics | ||
| 13) | Calculation of validity and reliability of tests | ||
| 14) | Calculation of validity and reliability of tests | ||
| Course Notes: | Moore, D. S. (2009). Basic Practice of Statistics. New York: W.H. Freeman. SPSS software for your own computer. |
| References: |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 10 |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | 2 | % 20 |
| Presentation | 1 | % 20 |
| Project | % 0 | |
| Seminar | % 0 | |
| Midterms | % 0 | |
| Preliminary Jury | % 0 | |
| Final | 1 | % 50 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 0 | 0 | 0 |
| Presentations / Seminar | 1 | 25 | 25 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 2 | 15 | 30 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | ||
| Midterms | 0 | 0 | 0 |
| Paper Submission | 0 | ||
| Jury | 0 | ||
| Final | 1 | 28 | 28 |
| Total Workload | 125 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |