PSYCHOLOGY | |||||
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) | Develop close interest in human mind and behavior, and attain critical thinking skills (in particular the ability to evaluate psychological theories using empirical evidence), as well as appreciating psychology as an evidence based science. | |
2) | Gain a biopsychosocial understanding of human behavior, namely, the biological, psychological, social determinants of behavior. | |
3) | Acquire theoretical and applied knowledge and learn about basic psychological concepts and perspectives | |
4) | Familiarize with methodology and data evaluation techniques by being aware of scientific research methods (i.e. correlational, experimental, longitudinal, case study). | |
5) | Employ ethical sensitivity while doing assessment, research or working with groups. | |
6) | Familiarize with the essential perspectives of psychology (cognitive, developmental, clinical, social, behavioral, and biological). | |
7) | Get the opportunity and skills to evaluate qualitative and quantitative data, write reports, and present them. | |
8) | Attain preliminary knowledge for psychological measurement and evaluation. | |
9) | To have a basic knowledge of other disciplines (e.g. sociology, history, political science, communication studies, philosophy, anthropology, literature, law, art, etc) that can contribute to psychology and to be able to make use of this knowledge in understanding and interpreting of psychological process. | 3 |