| Course Type | Elective Course |
| Course Level | Doctorate Of Science |
| Year of Study | - |
| Semester | - |
| ECTS | 10 |
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Knows basic bioinformatics definitions
- Knows genome organization,
- Knows the mathematical principles of databases,
- Knows the use of programming languages and coding algorithms,
- Knows hidden Markov models and phylogenetic methodology,
- Knows structural bioinformatics methods and modeling of proteins
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | None |
| Course Description | Students are expected to learn basic principles of bioinformatics as well as genome organization, database structure, programming languages and algorithms, hidden Markov models, phylogenetic methodology, structural bioinformatics and protein modelling. |
| Course Contents |
Students are expected to learn basic principles of bioinformatics as well as genome organization, database structure, programming languages and algorithms, hidden Markov models, phylogenetic methodology, structural bioinformatics and protein modelling.
|
| Recommended or Required Reading | 1. Introduction to Bioinformatics 4th Edition, Arthur Lesk, Oxford University Press (2014). |
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Problem Solving
- Practice
- Presentation
|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
20 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
2 |
3 |
6 |
| Individual or group work |
14 |
5 |
70 |
| Preparation for Final exam |
1 |
30 |
30 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
4 |
32 |
128 |
| Total Work Load | 300 |
| Total Work Load / 30 (h) | 10 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
| Work Placement(s) | No |