MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MBG4057 Special Topics in Bioinformatics Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
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 Outputs

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: 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
Attendance 0 % 0
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 2 % 15
Presentation 0 % 0
Project 1 % 25
Seminar 0 % 0
Midterms 1 % 10
Preliminary Jury 0 % 0
Final 1 % 50
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
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
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 8 112
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 2 2
Paper Submission 0 0 0
Jury 0 0 0
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