ECONOMICS | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MBG2004 | Computation for Biological Sciences II | Spring |
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): |
Prof. Dr. SÜREYYA AKYÜZ |
Course Objectives: | This class intended to provide advanced information to computational tools for biology. |
The students who have succeeded in this course; 1. Learn important biological data sources. 2. Evaluate the results of biological analysis statistically and mathematically. 3. Learns how to use various tools to evaluate genome sequencing data. 4. Learn basic level Matlab. |
Sequence data, searching and alignment, structural data, genome sequencing, genome analysis, genetic variation, gene and protein expression, and biological networks and pathways. |
Week | Subject | Related Preparation |
1) | Advanced sequencing data analysis | |
2) | Genome alignment I | |
3) | Genome alignment II | |
4) | Structural data | |
5) | Genome sequencing | |
6) | Genome analysis I | |
7) | Genome analysis II | |
8) | Advanced genetic variation analysis I | |
9) | Advanced genetic variation analysis II | |
10) | Biological networks I | |
11) | Biological networks II | |
12) | Biological pathways I | |
13) | Biological pathways II | |
14) | Biological pathways III |
Course Notes / Textbooks: | Ders notları haftalık olarak verilecektir. Course material will be provided weekly. |
References: | Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684 |
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) | He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning. | |
3) | Absorbs basic economic principles and analysis methods and uses them to evaluate daily events. | |
4) | Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders. | |
5) | Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions. | |
6) | Comprehends new ways of doing business using digital technologies. and new market structures. | |
7) | Takes critical approach to economic and social problems and develops analytical solutions. | |
8) | Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods. | |
9) | In the works he/she contributes, observes individual and social welfare together and with an ethical perspective. | |
10) | Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines. | |
11) | Generates original and innovative ideas in the works she/he contributes as part of a team. |