BIOENGINEERING (ENGLISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MBG4003 Comparative Genomics and Proteomics Fall 2 0 3 8
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 EMİNE KANDEMİŞ
Course Objectives: The objective of this course is to provide information about the "omics" technology, especially focusing on genomics and proteomics. The recent applications of these areas and relevant bioinformatics background will be discussed.

Learning Outputs

The students who have succeeded in this course;
1. Define the "omics" technologies.
2. Discuss the technologies behind genomics and proteomics studies.
3. Discuss the applications of both structural and functional genomics and also the proteomics studies.
4. Define basic information about bioinformatics.
5. Recognize the importance of these technologies in modern genetics.

Course Content

Computational, molecular and genetic methodologies are covered including applications in structural and functional genomics (genome analysis and comparative genomics, technologies for transcriptional profiling), proteomics and related bioinformatics.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) The rise of "omics" technology Reading
2) The organization and structure of genomes Reading
3) Genome mapping Reading
4) Genome-Sequencing projects Reading
5) Functional Genomics I Reading
6) Functional Genomics II Reading
7) Analysis of the transcriptome Reading
8) Comparative genomics Reading
9) Overview Reading
10) Proteomics I Reading
11) Proteomics II Reading
12) Proteomics III Reading
13) Applications I Reading
14) Applications II Reading

Sources

Course Notes: Ders notları haftalık olarak verilecektir. Course notes will be supplied weekly.
References: 1)Discovering genomics, proteomics and bioinformatics, Campbell AM and Heyer LJ, 2nd edition, 2007, Pearson education Inc., ISBN: 0-8053-8219-4 2)Bioinformatics and Functional genomics, Pevsner J, 2nd edition, 2009, John Wiley & Sons Inc., ISBN: 978-0-470-08585-1 3)Principles of gene manipulation and genomics, Primrose SB and Tywan RM, 7th edition, 2006, Blacwell Publishing, ISBN: 9781405135443"

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 5
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 1 % 20
Homework Assignments 0 % 0
Presentation 0 % 0
Project 0 % 0
Seminar 0 % 0
Midterms 1 % 25
Preliminary Jury 0 % 0
Final 1 % 50
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
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 3 42
Presentations / Seminar 1 20 20
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 17 17
Paper Submission 0 0 0
Jury 0 0 0
Final 1 18 18
Total Workload 125

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) An understanding of the advanced concepts of Mathematics (calculus, analysis, linear algebra, differential equations, statistics), Natural Sciences (physics, chemistry, biology), and Engineering Sciences (electronics, material science, mechanics, thermal and fluid systems, control, signal and image processing, microcontrollers) relevant to Biomedical Engineering.
2) An ability to use at an advanced level the techniques, skills, and modern engineering tools (including software) necessary for engineering practice.
3) The capability of designing and conducting advanced experiments and of analyzing and evaluating data.
4) An ability to design the components of complex systems and processes under realistic constraints.
5) Acquisition of the skills needed to develop products (device, system, process) which are used in diagnosis, prevention, treatment and cure of diseases.
6) An ability to communicate knowledge and opinion efectively, both oral and in writing.
7) An ability to assume initiative and individual resposibility, and to cooperate with team-mates from other disciplines.
8) A kowledge of the current needs and problems of society, and an awareness of the social and global impact of engineering solutions.
9) Assimilation of the ethics and responsibilities of the profession.
10) Recognition of the importance of life-long learning, and participation therein.