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| BIY1000 | Biostatistics | 3+0+0 | ECTS:5 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of BIOLOGY | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Kazım SEZEN | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To teach basic statistics topics, data collection and analysis methods and the use of statistical programs in data analysis. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Understand the concepts of biometrics. | 3,4,8,9 | 1, | | LO - 2 : | Identify and understand different types of biometric systems and methods. | 3,4,8,9 | 1, | | LO - 3 : | Appreciation of the role of statistical inference in the practice of data analysis. | 3,4,8,9 | 1, | | LO - 4 : | Select appropriate statistical methods to analyze data. | 3,4,8,9 | 1, | | LO - 5 : | use package programs such as SPSS etc. to analyze data. | 3,4,8,9 | 4, | | 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 | | |
| Analysis of data in Biology. Measuring average and variability. Probability. The Possion and binomial distriutions. Normal distribution. Chi-square distribution. Estimation tests. Hypotheses tests. Regression analysis. Measuring of correlation. Analysis of variance. Some package programs used in data analysis. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Definition and terminology of biometry | | | Week 2 | Analysis of data in Biology | | | Week 3 | Measuring average, mode, median | | | Week 4 | Measuring variability (variance, standard deviation, standard error etc) | | | Week 5 | Probability | | | Week 6 | The Possion and binomial distributions and Normal distribution | | | Week 7 | Chi-square distribution and estimation tests | | | Week 8 | Using Excel and package programs in data analysis in basic statistical analysis | | | Week 9 | Mid-term exam | | | Week 10 | Hypotheses tests | | | Week 11 | Regression and correlation analysis | | | Week 12 | Design of experiments | | | Week 13 | Analysis of variance | | | Week 14 | Multiple comparision tests | | | Week 15 | Using Excel and package programs in data analysis such as variance, regression, correlation, ANOVA etc. | | | Week 16 | End-of-term exam | | | |
| 1 | Yıldız, N, Akbulut, Ö., Bircan, H, 1998; İstistiğe Giriş, Şafak Yayınevi, Erzurum, 1998. | | | 2 | Kadioglu, A., 2008; Biyometri Ders Notları, Trabzon. | | | |
| 1 | Özdamar, K., 1989; Biyoistatistik, Bilim Teknik Yayınevi, İstanbul. | | | 2 | Fowler, J., Cohen, L, and Jarvis, P. 1998; Practical Statistic for Field Biology,Wiley Press. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 10 | 16/04/2024 | 1,5 | 50 | | End-of-term exam | 17 | 18/06/2024 | 2 | 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 | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 12 | 36 | | Arasınav için hazırlık | 3 | 8 | 24 | | Arasınav | 2 | 1 | 2 | | Uygulama | 1 | 7 | 7 | | Dönem sonu sınavı için hazırlık | 3 | 10 | 30 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 1 | 7 | 7 | | Total work load | | | 150 |
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