COMPUTER ENGINEERING
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)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	2
3)	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	3
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.	3
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.	2
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.