BUSINESS ADMINISTRATION | |||||
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 | Spring 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) | Being able to identify problems and ask right questions | |
2) | Having problem solving skills and developing necessary analytical attitude | |
3) | Comprehending theoretical arguments along with counter arguments in detail | |
4) | Gaining awareness of lifelong learning and being qualified for pursuing graduate education | |
5) | Applying theoretical concepts in project planning | |
6) | Communicating efficiently by accepting differences and carrying out compatible teamwork | |
7) | Increasing efficiency rate in business environment | |
8) | Developing innovative and creative solutions in face of uncertainty | |
9) | Researching to gather information for understanding current threats and opportunities in business | |
10) | Being aware of the effects of globalization on society and business while deciding | |
11) | Possessing digital competence and utilizing necessary technology | |
12) | Communicating in at least one foreign language in academic and daily life | |
13) | Possessing managing skills and competence | |
14) | Deciding with the awareness of the legal and ethical consequences of business operations | |
15) | Expressing opinions that are built through critical thinking process in business and academic environment |