Course Name | Introduction to Bioinformatics |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
BME 310 | Fall/Spring | 2 | 2 | 3 | 5 |
Prerequisites |
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Course Language | English | ||||||||
Course Type | Elective | ||||||||
Course Level | First Cycle | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | |||||||||
Course Coordinator | |||||||||
Course Lecturer(s) | |||||||||
Assistant(s) |
Course Objectives | The objective of this course is to introduce most commonly used bioinformatics techniques, to comprehend basic terminology of bioinformatics, to analyze and visualize biological data, to find specific literature pertaining to topics of interest. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | The course covers terminology used in bioinformatics, introduction to online and offline tools and databases, basic analysis techniques of biological sequences, comparison methods. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction to bioinformatics | Lecture notes |
2 | Gene structure and central dogma | Chapter 1 |
3 | ORF, intron splicing, types of mutations | Chapter 1 |
4 | Introduction to Pubmed databases | Lecture notes |
5 | Literature search | Lecture notes |
6 | FASTA and Genbank file format | Chapter 5 and 6 |
7 | BLASTn, BLASTp, tBLASTn | chapter 6 |
8 | Other alignment methods | Lecture notes |
9 | Midterm | |
10 | Multi Sequence Alignment using CLUSTALW | Chapter 6 |
11 | Phylogenetic relationships | Chapter 9 |
12 | SNP and haplotype analysis | Chapter 7 |
13 | Motif discovery and enrichment tools | Lecture notes |
14 | Structural prediction of RNA | Chapter 7 |
15 | Structural protein database: PDB | Lecture notes |
16 | Final Exam |
Course Notes/Textbooks | Bioinformatics for beginners, Genes, Genomes, Molecular Evolution, Databases and Analytical Tools. Supratim Choudhuri. Elservier, 2014 N. C. Jones and P. A. Pevzner, An Introduction to Bioinformatics Algorithms, MIT press, 2004 |
Suggested Readings/Materials | Course material and online sources |
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | 5 | 40 |
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 30 |
Total |
Weighting of Semester Activities on the Final Grade | 6 | 70 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 30 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 15 | 2 | 30 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 21 | |
Final Exams | 1 | 35 | |
Total | 150 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Biomedical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | X | ||||
2 | To be able to identify, define, formulate, and solve complex Biomedical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. | |||||
4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Biomedical Engineering applications. | X | ||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Biomedical Engineering research topics. | X | ||||
6 | To be able to work efficiently in Biomedical Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | |||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. | |||||
8 | To have knowledge about global and social impact of Biomedical Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions. | X | ||||
9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Biomedical Engineering, and to be able to communicate with colleagues in a foreign language. | |||||
12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Biomedical Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest