ECONOMICS | |||||
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) | As a world citizen, she is aware of global economic, political, social and ecological developments and trends. | 2 |
2) | He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning. | 2 |
3) | Absorbs basic economic principles and analysis methods and uses them to evaluate daily events. | 2 |
4) | Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders. | 2 |
5) | Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions. | 1 |
6) | Comprehends new ways of doing business using digital technologies. and new market structures. | 2 |
7) | Takes critical approach to economic and social problems and develops analytical solutions. | 1 |
8) | Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods. | 2 |
9) | In the works he/she contributes, observes individual and social welfare together and with an ethical perspective. | 2 |
10) | Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines. | 1 |
11) | Generates original and innovative ideas in the works she/he contributes as part of a team. | 2 |