PSYCHOLOGY | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MBG4057 | Special Topics in Bioinformatics | Fall | 3 | 0 | 3 | 6 |
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 Objectives: | This course aims to discuss technical papers from the recent bioinformatics literature, examine their algorithms and conduct an intensive study on a specific bioinformatics problem. |
The students who have succeeded in this course; 1. Define the open research questions in bioinformatics. 2. Discuss current solutions to tackle bioinformatics problems. 3. Develop an ability to discuss open research issues in computational biology. 4. Acquire an understanding of existing bioinformatics solutions for genomics. 5. Acquire an understanding of existing bioinformatics solutions for proteomics. 6. Develop an ability to focus on several bioinformatics articles and present their findings. 7. Obtain a familiarity with emerging topics in bioinformatics. 8. Obtain a familiarity with emerging topics in computational biology. 9. Develop an ability to find, read and discuss scientific articles published in the bioinformatics field. |
This discussion-based bioinformatics course will expose students to the latest developments in bioinformatics analyses and algorithms. |
Week | Subject | Related Preparation |
1) | Genomics (genome sequencing, storage and study of genome information, genome databases) | |
2) | Genomics (polymorphism in the human genome and association with diseases) | |
3) | Comparative genomics (genome subtraction method, whole-genome alignment methods, genome-context methods, gene-fusion method) | |
4) | Structural genomics (the scientific program of structural genomics, target selection in structural genomics) | |
5) | Functional genomics (integration of experimental and computational methods) | |
6) | Functional genomics (gene-expression data and DNA micro-arrays) | |
7) | Functional genomics (regulatory networks, protein-protein interaction networks) | |
8) | Proteomics, Protein folding and fold recognition | |
9) | Epigenomics | |
10) | Cancer informatics | |
11) | Non-coding RNA identification and search | |
12) | Emerging topics in bioinformatics | |
13) | Emerging topics in computational biology | |
14) | Presentations |
Course Notes / Textbooks: | Haftalık ders notları iletilecektir. Course notes will be supplied. |
References: | Articles from the primary literature (scientific journals, e.g. Nature Reviews Genetics, Nature, Science, Genome Research, Nature Genetics, Nature Methods, Bioinformatics, Molecular Systems Biology etc.) |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 2 | % 15 |
Project | 1 | % 25 |
Midterms | 1 | % 10 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 25 | |
PERCENTAGE OF FINAL WORK | % 75 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 8 | 112 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 158 |
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 |