Computer Engineering
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: UNI228
Course Name: Personal Medicine
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: University Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. 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) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems
2) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.
5) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective 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) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
10) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11) Ability to work effectively within and multidisciplinary teams; individual study skills.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems
2) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.
5) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective 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) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
10) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11) Ability to work effectively within and multidisciplinary teams; individual study skills.

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