|
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 | Face to face | 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: | Gaining some basic knowledges about statistics. |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | Understand the concepts of biometrics. | 1 | 1, | LO - 2 : | Identify and understand different types of biometric systems and methods. | 1 | 1, | LO - 3 : | Appreciation of the role of statistical inference in the practice of data analysis. | 1 | 1, | LO - 4 : | Select appropriate statistical methods to analyze data. | 1 | 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 | |
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. |
|
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 | | Week 7 | Normal distribution | | Week 8 | Chi-square distribution and estimation tests | | Week 9 | Mid-term exam | | Week 10 | Hypotheses tests | | Week 11 | Hypotheses tests | | Week 12 | Regression and correlation analysis | | Week 13 | Design of experiments | | Week 14 | Analysis of variance | | Week 15 | Multiple comparision tests | | 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 | 18/04/2022 | 1,5 | 50 | End-of-term exam | 17 | 13/06/2022 | 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 | Laboratuar çalışması | 0 | 0 | 0 | Arasınav için hazırlık | 3 | 8 | 24 | Arasınav | 2 | 1 | 2 | Uygulama | 1 | 7 | 7 | Klinik Uygulama | 0 | 0 | 0 | Ödev | 0 | 0 | 0 | Proje | 0 | 0 | 0 | Kısa sınav | 0 | 0 | 0 | Dönem sonu sınavı için hazırlık | 3 | 10 | 30 | Dönem sonu sınavı | 2 | 1 | 2 | Diğer 1 | 1 | 7 | 7 | Diğer 2 | 0 | 0 | 0 | Total work load | | | 150 |
|