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| ECZ2033 | Biostatistics | 2+0+0 | ECTS:2 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Compulsory | | Department | DEPARTMENT of PHARMACEUTICS | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Kemal TURHAN | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To enable asessments skills of data related to health and to evaluate these data and to bring a scientific study to a conclusion |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | exploring and presenting data, | 10,13,14 | 1, | | LO - 2 : | summarizing data, comparing means | 10,13,14 | 1, | | LO - 3 : | testing the hypotesis of research | 10,13,14 | 1, | | 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 | | |
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Dates types, criterias of definitive, main, mod, median, arithmetical avarage, standart deviation, making table and graphic, parametric and nonparametric statistical tests. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Definitions, data types, frequency distributions frequency distributions samples, calculating the percentage of classes | | | Week 2 | Descriptive statistics, average, average examples of extreme value | | | Week 3 | Median, Mod, geometric mean, harmonic mean, weighted average | | | Week 4 | Quarters and percentages, samples, percentile rulers | | | Week 5 | Distribution of the prevalence of size;Standart deviation, standart error, varyans in clasified data,
sampling issue be reviewed | | | Week 6 | Measures of dispersion;Standart deviation, standart error, varyans in clasified and unclasified data
| | | Week 7 | Construction of tables and graphs, examples | | | Week 8 | Theoretical distributions, the calculations | | | Week 9 | Mid-term exam | | | Week 10 | Hypothesis testing, hypothesis samples, | | | Week 11 | parametric tests | | | Week 12 | parametric tests | | | Week 13 | | | | Week 14 | Non-parametrik tests, chi-square test | | | Week 15 | Coralation Regression | | | Week 16 | End-of-term exam | | | |
| 1 | Hayran M. , Özdemir O. 1996, Bilgisayar İstatistik ve Tıp. İkinci Basım, Hekimler Yayın Birliği, Ankara, | | | |
| 1 | SümbüloğluK., SümbüloğluV.1999, Biyoistatistik. Özdemir Yayıncılık, Ankara, | | | 2 | SümbüloğluK.2000, Sağlık Alanına özel İstatistiksel Yöntemler, Songür Yayıncılık 6. Basım, Ankara, | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 50 | | End-of-term exam | 16 | | 1 | 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 | 8 | 16 | | Arasınav için hazırlık | 6 | 4 | 24 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 5 | 4 | 20 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 90 |
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