GASTRONOMY (TURKISH)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MBG4057 Special Topics in Bioinformatics Spring 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

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.

Learning Outcomes

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.

Course Content

This discussion-based bioinformatics course will expose students to the latest developments in bioinformatics analyses and algorithms.

Weekly Detailed Course Contents

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

Sources

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.)

Evaluation System

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

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) - Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources.
2) Use of advanced theoretical and practical knowledge within the field. -Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field.
3) Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field. - Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data. -Organize and implement project and activities for social environment with a sense of social responsibility. -Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level. -Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.
4) Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach. -Determine learning needs and direct the learning. -Develop positive attitude towards lifelong learning.
5) Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field. - Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security.
6) Conduct studies at an advanced level in the field independently. - Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field. - Planning and managing activities towards the development of subordinates in the framework of a project