BIN501 INTRODUCTION TO BIOINFORMATICS
| Course Code: | 9080501 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Bioinformatics |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
The main objective of the course is to provide the student with a solid foundation for conducting further research in bioinformatics. By the end of the course, the students will have learned:
- the bioinformatics terminology,
- main bioinformatics problems,
- and the key methods and tools used in bioinformatics
Course Content
This course will provide an introduction to bioinformatics. The computational techniques for mining the large amount of information produced by biological experiments such as genome sequencing, microarray technology, and other high-throughput experimental methods will be introduced. The main emphasis of the course is to provide an overview of the area and describe solutions to fundamental problems of bioinformatics such as DNA and protein sequence alignment, protein structural alignment, protein/RNA structure prediction, phylogenetic tree construction, microarray data analysis, and analysis of gene/protein networks.
Course Learning Outcomes
At the end of this course, students will be able to:
- Understand main computational problems in life sciences.
- Understand the main terminology used in bioinformatics.
- Apply statistical analyses on results of algorithms.
- Understand key methods and tools used in bioinformatics.
- Design and implement a computational solution to a molecular biology problem
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | They have theoretical and practical knowledge in bioinformatics domain. | ✔ | |||
| 2 | They are able to make analyses and modelling with informatics and statistical methods. | ✔ | |||
| 3 | They have a wide acquaintance with one of the most commonly used programming languages. | ✔ | |||
| 4 | They are aware of the current problems in bioinformatics domain and the can solve problems in their specialized sub domains. | ✔ | |||
| 5 | They are able to develep new ideas and design projects with these ideas for bioinformatics sector. | ✔ | |||
| 6 | They are able to determine the required applications in health and biotechnology domains and develop product oriented solutions. | ✔ | |||
| 7 | They can work in multidiscipline teams and they play role as a leader and/or a bridge in interdiscipliner communication. | ✔ | |||
| 8 | They are able to transfer research results and currrent progresses in their domain in verbal and written mediums. | ✔ | |||
| 9 | They are fluent in English as a foreign language. | ✔ | |||
| 10 | They have academic morality. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution