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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
TGT 226ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN HEALTH 2 + 03rd Semester2

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Elective
Course Objective This course is to provide students with an introduction to the subject of artificial intelligence in health, including the basic techniques and approaches of artificial intelligence. It is aimed that students who complete this course will be able to use the historical and conceptual development of artificial intelligence, artificial intelligence applications developed within the scope of digitalization in health, its place in defining diseases, evaluating patients, determining treatment methods, and artificial intelligence techniques
Course Content Definition and history of artificial intelligence technology, artificial intelligence techniques, types of artificial intelligence, areas of use of artificial intelligence, digitalization and artificial intelligence in health, artificial intelligence and medical imaging, bone age detection using artificial intelligence techniques, artificial intelligence use in breast imaging, mouth, teeth and Artificial intelligence applications in jaw radiology, Artificial intelligence applications in emergency, artificial intelligence and ethics in health, the future of artificial intelligence.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Examines the basic concepts of artificial intelligence.
2Understands artificial intelligence techniques and technology.
3Examines the use of artificial intelligence in health, knows artificial intelligence applications related to her field and follows the developments.
4Knows Ethical Constraints.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 0015             
LO 002     5        
LO 003  5           
LO 004        5     
Sub Total5 5  5  5     
Contribution10100100100000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Mid-terms188
Final examination11616
Total Work Load

ECTS Credit of the Course






52

2
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes