Molecular Biology and Genetics (Master) (with Thesis) (English) Preview
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code:

MBG5009

Course Name:

Omic Technologies

Semester:

Fall
Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Prof. Dr. ELİF AYLİN ÖZÜDOĞRU

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to introduce molecular biology and genetic students to the concept of systems biology / omics technologies and to provide insight on how they can integrate them into their profession.
Course Content:	This course includes the definition of systems biology and omics technologies, analysis of omics data types, integration of omics data into drug repositioning and molecular pathway analyses over omics data.

Learning Outcomes

The students who have succeeded in this course;
1) Have knowledge about systems biology and omics technologies
2) Learns the concept of pharmacogenetics
3) Have detailed information about OMIC technologies (genomics, transcriptomics, proteomics)
4) Learns how to integrate OMIC technologies into drug discovery and development processes
5) Have basic knowledge of transcriptome data and can make drug repositioning over transcriptome data.
6) Learns how to analyze OMIC technologies for biomarker discovery
7) Learns web tools used for drug repositioning

Course Flow Plan

Week	Subject	Related Preparation
2)	Introduction to omics technologies and systems biology	-
3)	• Bioinformatics in drug discovery and development process • Pharmacogenetics	-
4)	• Role of bioinformatics in personalized medicine and biomarker discovery • Examination of genomics-drug resistance-personalized medicine relationships • Factorial effects of the roles of the proteins encoded by the genetic profile in various diseases on drug molecule formation.	-
5)	• OMICS Technologies (Genomiks, Transcriptomiks, Proteomics, Metabolomics, Lipidomics )	-
6)	• Transcriptome Data analysis I	-
7)	Transcriptome Data analysis II	-
8)	Midterm exam	-
9)	Transcriptome Data analysis III	-
10)	• Drug repositioning • Web tools in drug repositioning	-
11)	• Gene enrichment analyses • Molecular pathway analyses	-
12)	• Protein-protein interaction networks • Usage of Cytoscape	-
13)	Student Project Presentations	-
14)	Student Project Presentations	-

Sources

Course Notes / Textbooks:	Lecturer notes
References:	Literature examples

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5	6	7
Program Outcomes
1) To be able to comprehend the interdisciplinary interaction with which the field is related.
2) To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines,
3) To be able to solve the problems encountered in the field by using research methods
4) Being able to independently carry out a work that requires expertise in the field.
5) To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning.
6) To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data.
7) To be able to supervise the collection, interpretation, application and announcement of data related to the field by considering social, scientific, cultural and ethical values.
8) To be able to supervise and teach these values by observing social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	To be able to comprehend the interdisciplinary interaction with which the field is related.	3
2)	To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines,	3
3)	To be able to solve the problems encountered in the field by using research methods	3
4)	Being able to independently carry out a work that requires expertise in the field.	3
5)	To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning.	3
6)	To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data.	3
7)	To be able to supervise the collection, interpretation, application and announcement of data related to the field by considering social, scientific, cultural and ethical values.	3
8)	To be able to supervise and teach these values by observing social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field.	3

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	2	% 10
Quizzes	2	% 5
Homework Assignments	2	% 5
Midterms	1	% 50
Final	1	% 30
total		% 100
PERCENTAGE OF SEMESTER WORK		% 70
PERCENTAGE OF FINAL WORK		% 30
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	3	3		84
Study Hours Out of Class	14	1	1		28
Presentations / Seminar	1	15	1		16
Project	1	15	1		16
Homework Assignments	2	1	1		4
Quizzes	2	2	1		6
Total Workload					154