MBG4003 Comparative Genomics and ProteomicsBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
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
MBG4003 Comparative Genomics and Proteomics Spring 2 0 2 5
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 EMİNE KANDEMİŞ
Recommended Optional Program Components: There is none.
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 Outcomes

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 / Textbooks: 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
Quizzes 1 % 20
Midterms 1 % 25
Final 1 % 50
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
Study Hours Out of Class 14 3 42
Presentations / Seminar 1 20 20
Midterms 1 17 17
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) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 4
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.