| CHILD DEVELOPMENT (TURKISH) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| GEN4059 | Computational Methods in Bioinformatics | Spring | 3 | 0 | 3 | 6 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi ELIZABETH HEMOND |
| Recommended Optional Program Components: | There is none. |
| Course Objectives: | The goal of this course is to provide an understanding of the fundamental computational methods used in bioinformatics and set of algorithms that have important applications in bioinformatics and also have several other applications outside of bioinformatics. |
|
The students who have succeeded in this course; 1. Recognize the fundamental models of computation useful in modeling nucleic acid and protein sequences. 2. Design and implement algorithms useful for analyzing various molecular biology data. 3. Discuss Genetic Algorithm and its applications in bioinformatics. 4. Discuss Greedy Algorithms and its applications in bioinformatics. 5. Discuss Gibbs sampling and its applications in bioinformatics. 6. Recognize Expectation Maximization and its applications in bioinformatics. 7. Recognize Hidden Markov models and its applications in bioinformatics. 8. Define Bayesian networks and its applications in bioinformatics. 9. Define graphs and its applications in bioinformatics. |
| This course will provide a broad and through background in computational methods and algorithms that are widely used in bioinformatics applications. Various existing methods will be critically described and the strengths and limitations of each will be discussed. |
| Week | Subject | Related Preparation |
| 1) | A brief introduction to computational complexity and algorithm design techniques | |
| 2) | Exact sequence search algorithms | |
| 3) | Rabin-Karp algorithm, pattern matching, suffix trees | |
| 4) | Elements of dynamic programming, Manhattan tourist problem, k-band algorithm | |
| 5) | Approximate string matching, divide and conquer algorithms | |
| 6) | Branch and bound search | |
| 7) | Genetic Algorithm | |
| 8) | Greedy Algorithms | |
| 9) | Gibbs sampling | |
| 10) | Expectation Maximization | |
| 11) | Hidden Markov models | |
| 12) | Bayesian networks | |
| 13) | Graphs | |
| 14) | Review |
| Course Notes / Textbooks: | Relevant course notes or hand-outs will be supplied. |
| References: | 1)An Introduction to Bioinformatics Algorithms (Computational Molecular Biology), Neil Jones and Pavel Pevzner, MIT Press, 2004. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 2 | % 10 |
| Project | 1 | % 25 |
| Midterms | 1 | % 25 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 35 | |
| PERCENTAGE OF FINAL WORK | % 65 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 144 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To gain both theoretical and practical knowledge about physical, cognitive, social-emotional aspects of child development. | 4 |
| 2) | To display actions in professional practice based on ethical principles and values. | 5 |
| 3) | To adopt the principle of lifelong learning, using efficient ways for accessing information. | 5 |
| 4) | To know the stages of child development and to be able to use models / theories efficiently for supporting children's cognitive, affective and psycho-motor development. | 5 |
| 5) | To plan, implement and evaluate professional projects, research and events with a sense of social responsibility, | 5 |
| 6) | To be able to use effective communication methods in counseling and child and family-based guidance. | 3 |
| 7) | To be sensitive to the child and family-related issues taking into account the child's stages of development, and to implement strategies for personal development of child and education methods which are vital for leading effective and productive life. | 5 |
| 8) | To use the education and communication materials according to the child development stage, and to create proper educational environment. | 5 |
| 9) | To take responsibilities in the field of child development and education using interdisciplinary approach, and to use information technologies, and to engage in projects and activities. | 5 |
| 10) | To use health information technologies for research in the field of child development. | 5 |
| 11) | To be able to monitor occupational information using at least one foreign language, to collaborate and communicate with colleagues at international level. | 5 |
| 12) | To become a good example for colleagues and society, and represent efficiently the professional identity using advanced knowledge about child development. | 5 |