BIN700-01 - RESEARCH PHD THESIS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| RESEARCH PHD THESIS | BIN700-01 | 5th Semester | 5 | 0 | 5 | 30 |
| Prequisites | Having completed the must PhD courses | |||||
| Course language | English | |||||
| Course type | Must | |||||
| Mode of Delivery | Distance Education | |||||
| Learning and teaching strategies | Other: Discussion | |||||
| Instructor (s) | Faculty members and lecturer | |||||
| Course objective | Studying of thesis | |||||
| Learning outcomes |
| |||||
| Course Content | Selecting the thesis topic, Reviewing all the references with the selected topic, Preparing the research proposal, Administering the scale and evaluating the findings, Reporting the research results. | |||||
| References | All the references related to selected thesis topic in literature | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Selecting the thesis topic |
| Week 2 | Selecting the thesis topic |
| Week 3 | Selecting the thesis topic |
| Week 4 | Selecting the thesis topic |
| Week 5 | Reviewing all the references with the selected topic |
| Week 6 | Reviewing all the references with the selected topic |
| Week 7 | Reviewing all the references with the selected topic |
| Week 8 | Reviewing all the references with the selected topic |
| Week 9 | Reviewing all the references with the selected topic |
| Week 10 | Reviewing all the references with the selected topic |
| Week 11 | Reviewing all the references with the selected topic |
| Week 12 | Reviewing all the references with the selected topic |
| Week 13 | Reviewing all the references with the selected topic |
| Week 14 | Reviewing all the references with the selected topic |
| Week 15 | Preparation to Final Exam |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 14 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 14 | 40 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 14 | 10 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 28 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 5 | 70 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 14 | 20 | 280 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 20 | 280 |
| Presentation / Seminar Preparation | 14 | 17 | 238 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 32 | 32 |
| Total Workload | 57 | 94 | 900 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. He/She should use electronical databases; such as Science Direct, PubMed, ISI, published books and periodical publications properly. | X | ||||
| 2. He/She will know basic bioinformatics analysis methods and use them properly in research. | X | ||||
| 3. Since bioinformatics is an interdisciplinary branch of science, he/she will be able to a part of group work, have good communication skills, and will understand others' problems. | X | ||||
| 4. He/She should have internet utilization skills enough to follow the innovations in the field and access desired information, accessing library sources should be advanced. | X | ||||
| 5. He/She will prepare projects for his/her technical-scientific development, provide consultancy service for seminars and genetic analyses, attend article discussions, congresses and workshops. | X | ||||
| 6. /She will be able to follow recent developments in other research fields also. | X | ||||
| 7. He/She will use programming languages, such as R, Phyton and Linux and uses Bioinformatics tools like Bioconductor, BLAST, PLINK, GATK etc. and will know the logic of basic programming. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest