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
GEN4057 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 : Prof. Dr. GÜLAY BULUT
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 an insight on the open research questions in bioinformatics.
2. Discuss current solutions to tackle with bioinformatics problems.
3. Acquire an ability to participate in discussion on 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 bioinformatics field.

Course Content

This discussion-based bioinformatics course will expose students to the latest developments in bioinformatics analysis 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) Review

Sources

Course Notes: 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.)
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
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments 2 % 10
Presentation % 0
Project 1 % 25
Seminar % 0
Midterms 1 % 25
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 35
PERCENTAGE OF FINAL WORK % 65
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Laboratory
Application
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class 14 94
Presentations / Seminar
Project
Homework Assignments
Quizzes
Preliminary Jury
Midterms 1 2
Paper Submission
Jury
Final 1 2
Total Workload 140

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution