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| MBG2015 | Biostatistics | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of MOLECULAR BIOLOGY and GENETICS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Orhan KESEMEN | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Comprehension of basic statistics and use of statistical analyzes for biological data |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Will be able to understand the concepts of biostatistics. | 1,5,7 | 1,3 | | LO - 2 : | will be able to recognize and identify different types of systems and methods of biostatistics. | 1,5,7 | 1,3 | | LO - 3 : | Will be able to use and evaluate statistical methods in data analysis | 1,5,7 | 1,3 | | LO - 4 : | Select appropriate statistical methods in data analysis | 1,5,7 | 1,3 | | 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 | | |
| Data analysis in biology, classification of data, location measures, probability distributions, binomial and poission distributions, standard normal distribution, student's distribution, x2 distribution, confidence bounds and hypothesis tests, trial designs. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Statistical definitions, biostatistical terms and their importance | | | Week 2 | Classification of biological data and graphical expression | | | Week 3 | Speculative Statistics: Central Tendency Measurements (Mean, Mod, Median) | | | Week 4 | Speculative Statistics: Distribution Measurements (Variance, Standard Deviation, Standard Error, etc.) | | | Week 5 | Possibilities (Probability) | | | Week 6 | Binomial and Poisson Distributions | | | Week 7 | Standard Normal Distribution | | | Week 8 | Chi square distribution, Statistical estimations | | | Week 9 | Mid-term Exam | | | Week 10 | Hypothesis tests | | | Week 11 | Hypothesis tests | | | Week 12 | Regression and Correlation | | | Week 13 | Experiment designs | | | Week 14 | Analysis of variance | | | Week 15 | Multiple comparative tests | | | Week 16 | Final 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 | 9 | | 1 | 50 | | End-of-term exam | 9 | | 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 | 3 | 14 | 42 | | Arasınav için hazırlık | 3 | 8 | 24 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 3 | 5 | 15 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 111 |
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