| AMERICAN CULTURE AND LITERATURE | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| MBG2003 | Computation for Biological Sciences I | Fall | 2 | 2 | 3 | 7 |
| 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 |
| Course Lecturer(s): |
Dr. Öğr. Üyesi SERKAN AYVAZ Prof. Dr. SÜREYYA AKYÜZ |
| Course Objectives: | This class intended to provide a general introduction to computational tools for biology. |
|
The students who have succeeded in this course; 1. Have learned important biological data sources. 2. Can evaluate the results of biological analysis statistically and mathematically. 3. Have learned how to use various tools to evaluate genome sequencing data. 4. Have learned basic level analyses in Matlab. |
| Evaluation and analysis of general biological and genome sequencing data using related computational tools efficiently. |
| Week | Subject | Related Preparation |
| 1) | Biological data | |
| 2) | Biyological databases | |
| 3) | Sequencing data | |
| 4) | Sequence alignment | |
| 5) | Genome sequencing data | |
| 6) | Genome assembly | |
| 7) | Genetic variation analysis I | |
| 8) | Genetic variation analysis II | |
| 9) | Gene expression analysis | |
| 10) | Microarray data analysis | |
| 11) | Mass Spec analysis | |
| 12) | Molecular modelling I | |
| 13) | Molecular modelling II | |
| 14) | Molecular modelling III |
| Course Notes / Textbooks: | Ders notları verilecektir. Course notes will be supplied. |
| References: | Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684, 2009 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 10 | % 10 |
| Presentation | 1 | % 15 |
| Midterms | 1 | % 25 |
| Final | 1 | % 50 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 4 | 56 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Presentations / Seminar | 5 | 4 | 20 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 178 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Upon graduation, students will acquire key skills and attributes to conduct research to use research tools, to solve problems, to communicate effectively and to transfer skills to the workplace. | |
| 2) | Upon graduation, students will have developed the ability to discuss key issues in fluent English. | |
| 3) | Upon graduation, students will have developed the ability to compose written documents in English with a mature prose style. | 4 |
| 4) | Upon graduation, students will have gained broad knowledge of the American and English literary canons. | 4 |
| 5) | Upon graduation, students will have developed the ability to analyze, synthesize and criticize sophisticated works of American and English literature. | 4 |
| 6) | Upon graduation, students will have achieved in depth the understanding of contemporary American culture. | 3 |
| 7) | Upon graduation, students will have developed the ability to draw links among diverse literary texts and documents and establish critical connections and adopt an interdisciplinary attitude. | 3 |
| 8) | Upon graduation, students will be able to develop new projects individually or in teams. | 3 |
| 9) | Upon graduation, students will be able to apply their knowledge into their lives for interdisciplinary problem-solving and solutions. | 4 |