| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 6 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Knows the history of bioinformatics and the terminology used,
- Knows the scientific methods required for the analysis of genome sequencing data,
- Knows the scientific methods required for the analysis of transcriptom data,
- Knows algorithms used in bioinformatics applications comparatively
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Students are aimed to understand the basic concepts of computational analysis of the data acquired by genome sequencing and gene expression profiling and to have ideas on the applications of bioinformatics, algorithms, and statistical tools at the end of this course. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
The history of bioinformatics |
|
2nd Week |
The tools and terminology used in bioinformatics |
|
3rd Week |
The basics of genome sequencing |
|
4th Week |
Computational methods required for the analysis of genome sequencing data |
|
5th Week |
Computational methods required for the analysis of transcriptome data |
|
6th Week |
Algorithms used in bioinformatics applications |
|
7th Week |
Databases used in bioinformatics applications |
|
8th Week |
|
|
| Recommended or Required Reading | Introduction to Bioinformatics (4th Edition), Arthur Lesk, Oxford University Press, 2014. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Presentation
- Practice
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
50 |
| 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 |
1 |
5 |
5 |
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
20 |
20 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
11 |
11 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
2 |
35 |
70 |
| Total Work Load | 180 |
| Total Work Load / 30 (h) | 6 |
| ECTS Credit of the Course | 6 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
