| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Develop skills in compiling, analyzing, and interpreting different biological datasets.
- Gain the ability to effectively use mathematical and statistical methods in bioinformatics.
- Develop fundamental knowledge and skills in commonly used programming languages in bioinformatics (e.g., Python, R).
- Can effectively visualize and present analysis results.
- Enhance critical thinking skills in the process of interpreting biological data and drawing conclusions.
- Gain the ability to plan, execute, and manage research projects independently or as part of a team.
- Prepare a project report and poster to present research objectives, methodologies, results, and conclusions.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | No |
|---|
| Course Description | This course aims to enable students to effectively use mathematical, statistical, and computer science tools for the compilation, analysis, interpretation, and visualization of complex biological data. The course content includes mathematical and statistical foundations, programming languages necessary for bioinformatics applications, data analysis methods, and effective visualization of results. Additionally, students are taught presentation techniques and report writing to independently manage their research projects and effectively present their findings. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Scanning biological data sources (databases, literature) |
|
2nd Week |
Scanning biological data sources (databases, literature) |
|
3rd Week |
Creating datasets to be tested for the project |
|
4th Week |
Creating datasets to be tested for the project |
|
5th Week |
Determining the necessary bioinformatics tools or statistical methods for the project |
|
6th Week |
Cleaning and organizing the collected data, applying preprocessing methods |
|
7th Week |
Cleaning and organizing the collected data, applying preprocessing methods |
|
8th Week |
Analyzing the data using bioinformatics tools or statistical methods |
|
9th Week |
Analyzing the data using bioinformatics tools or statistical methods |
|
10th Week |
Analyzing the data using bioinformatics tools or statistical methods |
|
11th Week |
Effectively visualizing analysis results, using visualization tools |
|
12th Week |
Writing the project report |
|
13th Week |
Writing the project report |
|
14th Week |
Preparing posters and oral presentations |
|
| Recommended or Required Reading | Recently published research or review articles related to the project topic |
|---|
| Planned Learning Activities and Teaching Methods |
- Report Preparation
- Project
- Practice
- Other
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Practice |
1 |
30 |
| Presentation of Case Study |
1 |
30 |
| Other |
1 |
40 |
| Total(%) |
|
100 |
| Contribution of In-term Studies to Overall Grade(%) |
|
100 |
| Contribution of Final Examination to Overall Grade(%) |
|
0 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
|
|
|
| Preparation for Quiz |
|
|
|
| Individual or group work |
|
|
|
| Preparation for Final exam |
|
|
|
| Course hours |
14 |
1 |
14 |
| Preparation for Midterm exam |
|
|
|
| Laboratory (including preparation) |
|
|
|
| Final exam |
|
|
|
| Homework |
|
|
|
| Presentation (including preperation) |
1 |
30 |
30 |
| Project |
1 |
50 |
50 |
| Meeting with advisor |
14 |
2 |
28 |
| Research |
1 |
10 |
10 |
| Literature review |
14 |
3 |
42 |
| Report writing |
1 |
20 |
20 |
| Analyzing the results |
1 |
50 |
50 |
| Performance Practice |
14 |
4 |
56 |
| Total Work Load | 300 |
| Total Work Load / 30 (h) | 10 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
