ARTIFICIAL INTELLIGENCE 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)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.