| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | FBİ689-17 | EXPERIMENTAL DESIGN AND STATISTICAL ANALYSIS | Compulsory | 1 | 1 | 6 |
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| Level of Course Unit |
| Second Cycle |
| Objectives of the Course |
| The unit aims to introduce students to the methods and tools used in statistical data analysis and the procedures and tools used in the design of experiments. |
| Name of Lecturer(s) |
| Prof. Dr. Hasan SEVGİLİ |
| Learning Outcomes |
| 1 | Test hypotheses and assess the statistical significance of results. | | 2 | Handle data, and the best use of graphics and descriptive statistics | | 3 | Analyse biological data using classical statistical tests. | | 4 | Design successful experiments. | | 5 | Critically assess basic experimental designs and analyses in the literature. |
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| Mode of Delivery |
| Formal Education |
| Prerequisites and co-requisities |
| No |
| Recommended Optional Programme Components |
| No |
| Course Contents |
| An essential part of training as a biologist and other related disciplines is to learn to design experiments and analyse and interpret data correctly. The unit introduces students to data handling, presentation and statistical data analysis, and in the light of the requirements for a good statistical analysis lays the foundations for good experimental design and critical analysis of research. |
| Weekly Detailed Course Contents |
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| 1 | Hypothesis testing | Theoretical | No | | 2 | Sampling and experimental design | Theoretical | No | | 3 | Statistics, variables and distributions | Theoretical | No | | 4 | Handle data and statistical practice | Theoretical | No | | 5 | Descriptive and presentational techniques | Theoretical | No | | 6 | Statistical Practice | Theoretical | No | | 7 | Statistical tests to look at differences: Frequency distributions, distribution types and analysis | Theoretical | no | | 8 | Parametric and Non-parametric tests, covariance and correlations | Theoretical | No | | 9 | Midterm Exam | Theoretical | No | | 10 | Statistical tests to look at relationships | Theoretical | No | | 11 | Parametric and Non-parametric variation anaylsis | Theoretical | No | | 12 | Practice | Theoretical | No | | 13 | Principal Component Analysis | Theoretical | No | | 14 | Fİnal Exam | Theoretical | No |
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| Recommended or Required Reading |
| Dytham, C. 2011. Choosing and Using Statistics: A Biologist’s Guide. Wiley-Blackwell, Third Edition, 298 s.
Crawley, M.J. 2005. Statistics: An introduction using R. Wiley, 354 s.
Kabacoff, R. 2015. R in Action: Data Analysis and Graphics with R. Manning Publications Co., 608 s. |
| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| SUM | 0 | |
| SUM | 0 | | Yarıyıl (Yıl) İçi Etkinlikleri | 40 | | Yarıyıl (Yıl) Sonu Etkinlikleri | 60 | | SUM | 100 |
| | Language of Instruction | | | Work Placement(s) | | No |
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| Workload Calculation |
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| Midterm Examination | 1 | 2 | 2 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 2 | 14 | 28 |
| Self Study | 1 | 40 | 40 |
| Individual Study for Mid term Examination | 1 | 45 | 45 |
| Individual Study for Final Examination | 1 | 50 | 50 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 2 | | | | | | | | | LO2 | | 3 | | | | | 3 | | | LO3 | | | | | 4 | | | 3 | | LO4 | | | | 3 | | | | | | LO5 | | | | | | 3 | | |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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