Computer Programming Preview
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

Course Introduction and Application Information

Course Code:

UNI228

Course Name:

Personal Medicine

Semester:

Fall
Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Associate

TR-NQF-HE:5. Master`s Degree

QF-EHEA:Short Cycle

EQF-LLL:5. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Dr. Öğr. Üy. FATMA KÜBRA TOMBULTÜRK

Course Lecturer(s):

Fatma Kübra Tombultürk

Course Assistants:

Course Objective and Content

Course Objectives:	It is aimed to learn personal medicine-targeted information by determining and learning personalized treatment methods.
Course Content:	It includes treatment options based on human molecular profile in various diseases.

Learning Outcomes

The students who have succeeded in this course;
1) Gain knowledge of personalized medicine resulting from each person's clinical, genetic, genomic and environmental knowledge.
2) Learns treatment options based on human molecular profile in various diseases.
3) Learns that the molecular profile is different in each individual.
4) Have distinctive knowledge about the effect of modern medicine and personalized medicine on diseases.

Course Flow Plan

Week	Subject	Related Preparation
1)	Genomic information
2)	Personalized medicine
3)	Genomic approach to Personal Targeted drug therapy
4)	Pharmacogenomics and complex diseases
5)	Pharmacogenetics and potential applications in personalized medicine-1
6)	Pharmacogenetics and potential applications in personalized medicine-2
7)	Role of noncoding RNAs in personalized molecular therapy
8)	Midterm exam
9)	Personalized medicine treatments based on the molecular profile in cancer-1
10)	Personalized medicine treatments based on the molecular profile in cancer-2
11)	Personalized medicine treatments based on molecular profile in diabetes
12)	Pharmacometabolomics drug metabolism, toxicity and efficacy in personalized medicine
13)	Future personalized medicine practice plans
14)	Known and unknown in personalized medicine
15)	Final exam
16)	Final exam

Sources

Course Notes / Textbooks:	Öğretim üyesinin ders notları
References:	Academic Member's lecture notes

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) He gains the ability of problem solving and analytical thinking skills.
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.
4) He understands object-oriented programming concept and web programming.
5) He learns radix systems, fundamental electronics and computer hardware knowledge.
6) He gains mobile programming skills and develops applications for mobile platforms.
7) He designs and codes databases.
8) He learns to program and use computer networks, open source operating systems.
9) He uses the English language effectively.
10) He learns to use appropriate data structures according to programming requirements.
11) He develops software individually or as a team.
12) He follows developments in the field, high technology tools / applications.
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	He gains the ability of problem solving and analytical thinking skills.	1
2)	He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.	2
3)	He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.	2
4)	He understands object-oriented programming concept and web programming.	2
5)	He learns radix systems, fundamental electronics and computer hardware knowledge.	1
6)	He gains mobile programming skills and develops applications for mobile platforms.	2
7)	He designs and codes databases.	2
8)	He learns to program and use computer networks, open source operating systems.	2
9)	He uses the English language effectively.	1
10)	He learns to use appropriate data structures according to programming requirements.	1
11)	He develops software individually or as a team.	2
12)	He follows developments in the field, high technology tools / applications.	2
13)	He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.	2

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 50
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	13	39
Study Hours Out of Class	13	39
Presentations / Seminar	8	24
Homework Assignments	13	13
Total Workload		115