MOLECULAR BIOLOGY AND GENETICS | |||||
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 |
Language of instruction: | English |
Type of course: | Must Course |
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) | Utilize the wealth of information stored in computer databases to answer basic biological questions and solve problems such as diagnosis and treatment of diseases. | 4 |
2) | Acquire an ability to compile and analyze biological information, clearly present and discuss the conclusions, the inferred knowledge and the arguments behind them both in oral and written format. | 5 |
3) | Develop critical, creative and analytical thinking skills. | 5 |
4) | Develop effective communication skills and have competence in scientific speaking, reading and writing abilities in English and Turkish. | 4 |
5) | Gain knowledge of different techniques and methods used in genetics and acquire the relevant laboratory skills. | 3 |
6) | Detect biological problems, learn to make hypothesis and solve the hypothesis by using variety of experimental and observational methods. | 5 |
7) | Gain knowledge of methods for collecting quantitative and qualitative data and obtain the related skills. | 3 |
8) | Conduct research through paying attention to ethics, human values and rights. Pay special attention to confidentiality of information while working with human subjects. | 5 |
9) | Obtain basic concepts used in theory and practices of molecular biology and genetics and establish associations between them. | 4 |
10) | Search and use literature to improve himself/herself and follow recent developments in science and technology. | 5 |
11) | Be aware of the national and international problems in the field and search for solutions. | 4 |