Information Package / Course Catalogue
| Course Code | : ZZO506 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
Provide the student fundamental knowledge about statistical methods used in the genome-wide analysis
Quantitative genetics and statistical distributions, Bayesian approach and MCMC sampling, Bayesian regression models for genome-wide analysis
| 1. | To be able to comprehend the quantitative and molecular genetics |
| 2. | To be able to comprehend the Bayesian statistics |
| 3. | To be able to comprehend the Genome-wide analysis and genomic prediction |
| 4. | To be able to comprehend the computer programming and software for genome-wide analysis |
| 5. | To be able to make decisions for future based on the statistical results |
| 6. | To be able to use statistical experiences in others areas |
| 1. | Neter, J., Kutner, M.H., Nachtsheim, C.J. and Wasserman, W. 1996. Applied Linear Statistical Models, Irwin, USA. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 3 | 56 |
| Assignment | 14 | 3 | 1 | 56 |
| Midterm Examination | 1 | 15 | 1 | 16 |
| Final Examination | 1 | 25 | 1 | 26 |
| TOTAL WORKLOAD (hours) | 154 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | |
OÇ-1 | 2 | 1 | |||||
OÇ-2 | 3 | 3 | 2 | ||||
OÇ-3 | 1 | 3 | 4 | ||||
OÇ-4 | 1 | 2 | 5 | 3 | |||
OÇ-5 | 1 | 2 | 2 | 1 | 2 | 1 | |
OÇ-6 | 2 | 2 | 4 | 1 | |||