PSYCHOLOGY | |||||
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 | 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): |
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) | 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 |