Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | HM208.1B | | Elective | 2 | 4 | 3 |
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Level of Course Unit |
First Cycle |
Objectives of the Course |
The aim of this program is to train students who have basic biostatistics knowledge, can apply biostatistical methods, interpret the results, plan, conduct and conclude independent research in the field of health and nursing, and use statistical programs. In addition, it is aimed to apply the statistical program together with the students on the online education platform in order to increase the learning level of the students in the distance education process. |
Name of Lecturer(s) |
Dr. Öğr. Üyesi Ebru Sönmez Sarı |
Learning Outcomes |
1 | Students should be able to develop their thinking skills about the scientific research process. | 2 | Students should be able to develop skills for the use of statistical methods in their fields of study. | 3 | Students should be able to gain researcher knowledge | 4 | Must be able to define basic statistics and know variable types | 5 | Should be able to use the statistical package program and apply the basic analysis tests that can be done |
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Mode of Delivery |
Normal Education |
Prerequisites and co-requisities |
NONE |
Recommended Optional Programme Components |
NONE |
Course Contents |
Science, scientific research process, statistics in health research, descriptive statistics, sample size and sampling methods, SPSS program, statistical analysis methods, table and graph making method |
Weekly Detailed Course Contents |
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1 | Science, scientific method, scientific research process | NONE | NONE | 2 | Properties related to variables | NONE | NONE | 3 | Descriptive statistics | NONE | NONE | 4 | sample size and sampling methods | NONE | NONE | 5 | Using SPSS | NONE | NONE | 6 | statistical analysis methods | NONE | NONE | 7 | Statistical analysis methods | NONE | NONE | 8 | Midterm | NONE | NONE | 9 | Explanation of statistical analysis methods on the program | NONE | NONE | 10 | | NONE | NONE | 11 | Statistical analysis methods | NONE | NONE | 12 | Correlation analysis | NONE | NONE | 13 | Table and graph making method | NONE | NONE | 14 | Repetition of the term topics | NONE | NONE | 15 | GENERAL EVALUATION | NONE | NONE |
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Recommended or Required Reading |
Ali Sait Albayrak, ISL368 SPSS Uygulamalı İstatistik Analiz Ders Materyali, Recep Tayyip Erdoğan Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Rize, 2012.Mustafa Köseoğlu, Rahmi Yamak, Uygulamalı İstatistik ve Ekonometri, Celepler Matbaacılık, Trabzon, 2012.Neyran Orhunbilge, Uygulamalı Regresyon ve Korelasyon Analizi, İstanbul Üniversitesi İşletme Fakültesi Yayın No: 281, İstanbul, 2002. |
Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | |
Midterm Examination | 1 | 100 | SUM | 100 | |
Final Examination | 1 | 100 | SUM | 100 | Term (or Year) Learning Activities | 40 | End Of Term (or Year) Learning Activities | 60 | SUM | 100 |
| Language of Instruction | Turkish | Work Placement(s) | NONE |
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Workload Calculation |
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Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 1 | 1 |
Attending Lectures | 14 | 1 | 14 |
Question-Answer | 14 | 1 | 14 |
Self Study | 14 | 1 | 14 |
Individual Study for Mid term Examination | 7 | 1 | 7 |
Individual Study for Final Examination | 14 | 1 | 14 |
Performance | 14 | 1 | 14 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | 2 | 3 | 2 | 4 | 4 | 3 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | LO2 | 2 | 3 | 2 | 4 | 3 | 3 | 4 | 3 | 3 | 4 | 2 | 4 | 2 | 2 | 3 | LO3 | 2 | 2 | 3 | 4 | 4 | 3 | 3 | 4 | 2 | 2 | 2 | 3 | 2 | 4 | 2 | LO4 | 1 | 3 | 3 | 2 | 3 | 2 | 4 | 3 | 3 | 4 | 2 | 2 | 2 | 3 | 2 | LO5 | 1 | 3 | 2 | 2 | 4 | 3 | 2 | 4 | 3 | 3 | 2 | 4 | 2 | 4 | 2 |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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