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

Course Introduction and Application Information

Course Code:

UNI316

Course Name:

Molecular Visualisation and Therapy

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:

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. SÜREYYA BOZKURT

Course Lecturer(s):

Dr.Öğr.Üyesi Orçun Can, Burçak Yılmaz,Dr.Öğr.Üyesi Süreyya Bozkurt

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course for each student; especially learning the molecular imaging methods and basic molecular techniques used in the diagnosis and treatment of various cancers.
Course Content:	At the end of the Molecular Imaging and Treatment course, students will have information about basic molecular techniques such as molecular imaging methods, targeted therapies and spectral methods, protein analysis methods, which are frequently used in cancer diagnosis and treatment.

Learning Outcomes

The students who have succeeded in this course;
1) Learns DNA cloning technique and usage areas.
2) Learns the necessary methods for obtaining cell components.
3) Learns the Polymerase Chain Reaction (PCR) method and its usage areas.
4) Learns the types of PCR and its uses in both research and genetic diagnosis.
5) Learns blotting techniques and usage areas and microarray technique.
6) Learns sequencing method and usage areas.
7) Learns Fluorescent in situ Hybridization (FISH) techniques, which is a cytogenetic and molecular cytogenetic method, and its use in the clinic.

Course Flow Plan

Week	Subject	Related Preparation
1)	Course Introduction
2)	Advanced MR Examination Methods and Clinical Approach I
3)	Advanced MR Examination Methods and Clinical Approach II
4)	Mechanism of action, clinical use and side effects of anti VEGF targeting therapies
5)	DNA Repair Mechanisms and Clinical Implications
6)	Molecular targets in non-small cell lung cancer
7)	Molecular Imaging and Nuclear Medicine
8)	Radionuclide Therapies
9)	Radiobiology
10)	Cytogenetics
11)	Gene Editing Technologies
12)	RFLP-PCR
13)	Transgenic Mouse Models
14)	Spectral Techniques

Sources

Course Notes / Textbooks:	Molecular Biology of the Cell
References:	Ders Slide ları

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5	6	7
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
Homework Assignments	1	% 40
Presentation	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 100
PERCENTAGE OF FINAL WORK		%
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	2	2	10		24
Study Hours Out of Class	5	10			50
Homework Assignments	2	10	10		40
Total Workload					114