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| HRT2003 | Statistical Calculation&Data Analys. Practice | 2+0+0 | ECTS:2 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Doç. Dr. Nazan YILMAZ | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | TTo ensure that the data collected in various ways is organized, its character is defined, and it is analyzed and presented using appropriate statistical techniques. To introduce the techniques and methods used to observe, scientifically examine, analyze and interpret mass events for certain purposes. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Comprehend the concept of variable and data, calculate descriptive statistical information about datav | 4,6 | | | LO - 2 : | Will be able to edit data in SPSS | 4,6 | | | LO - 3 : | Do normality tests for normal distribution of data | 4,6 | | | LO - 4 : | Will be able to calculate frequency and present cross tables with SPSS | 4,6 | | | LO - 5 : | Examine hypothesis testing and their significance in SPSS | 4,6 | | | LO - 6 : | Make simple and multiple linear regression analysis | 4,6 | | | LO - 7 : | Apply correlation analysis | 4,6 | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Variable and data concept. Descriptive statistical information. Organizing data in SPSS. Recoding of data. Normality tests of data. Description with percentages and frequencies using SPSS. Presenting the results with cross tabulations. Hypothesis tests. Analysis of variance and Chi-square test. Simple linear regression analysis. Multiple linear regression analysis. Correlation analysis. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | The subject, aim and general definitions of the course | | | Week 2 | Descriptive statistical information | | | Week 3 | Introduction to SPSS and data-variable view | | | Week 4 | Editing data and calculating descriptive statistical information | | | Week 5 | Normality tests with SPSS | | | Week 6 | Creating frequency calculations and cross tables with SPSS | | | Week 7 | Hypothesis tests | | | Week 8 | Hypothesis tests | | | Week 9 | Mid-term | | | Week 10 | Variance analysis and Chi-square test | | | Week 11 | Simple and multiple linear regression | | | Week 12 | Simple and multiple linear regression | | | Week 13 | Correlation analysis | | | Week 14 | Correlation analysis | | | Week 15 | General applications on topics | | | Week 16 | Final exam | | | |
| 1 | Can, Abdullah. 2014. SPSS ile Bilimsel Araştırma Sürecinde Nicel Veri Analizi, Pegem Akademi. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Homework/Assignment/Term-paper | 8, 15 | | | 50 | | End-of-term exam | 16 | | | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Sınıf dışı çalışma | 2 | 12 | 24 | | Uygulama | 2 | 14 | 28 | | Ödev | 4 | 4 | 16 | | Dönem sonu sınavı için hazırlık | 9 | 1 | 9 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 106 |
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