CENG734 ADVANCED TOPICS IN BIOINFORMATICS
| Course Code: | 5710734 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Masters |
| Course Coordinator: | Prof.Dr. TOLGA CAN |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
The primary objectives of this course are to expose students to recent developments in the field of bioinformatics and to enable students initiate research in this area. Upon completion of this course the students will:
- be aware of the current challenges in Bioinformatics,
- have learnt the state-of-the-art methods to tackle important biological problems,
- and be able to initiate and conduct research in the area of Bioinformatics.
Course Content
This course covers recent developments and open research problems in the area of Bioinformatics. Main topics include:
• Multiple sequence alignment,
• Protein folding problem, prediction of secondary/tertiary structure,
• Multiple structural alignment, protein docking,
• Functional classification of proteins, human genome annotation,
• Statistical modeling of biological data, kernel based methods, hidden Markov models,
• Data integration
• Prediction and mining of genetic networks and protein interaction networks.
Course Learning Outcomes
The primary learning outcomes of this course will be
1. Students will be aware of the current challenges in Bioinformatics
2. Students will learn the state-of-the-art methods to tackle important biological problems,
3. Students will be be able to initiate and conduct research in the area of Bioinformatics.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | Competence in fundamental and advanced knowledge of hardware and software Proficiency in problem solving. | ✔ | |||
| 2 | The ability to follow the contemporary technical development, and Initiative and aptitude for self-directed learning. | ✔ | |||
| 3 | They are capable of designing, and conducting experiments at advanced level. | ✔ | |||
| 4 | The ability to design and implement systems involving hardware, software, and the interaction between the two through challenging projects. | ✔ | |||
| 5 | Analyze and compare relative merits of alternative software design, algorithmic approaches and computer system organization, with respect to a variety of criteria relevant to the task (e. g. efficiency, scalability, security). | ✔ | |||
| 6 | Strong interpersonal skills needed for working effectively in small, diverse groups on medium to large scale technical projects. | ✔ | |||
| 7 | Strong oral communication skills essential for effectively presenting technical material to an audience and strong written communication skills and the ability to write technical documents that include specification, design, and implementation of a major project. | ✔ | |||