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SHORT CYCLE - ASSOCIATE'S DEGREE
DENİZLİ HEALTHCARE VOCATIONAL SCHOOL
HEALTH PROGRAMMES DEPARTMENT
379 MEDICAL IMAGING TECHNIQUES
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
TGT 226
ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN HEALTH
2 + 0
3rd Semester
2
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
1
Examines the basic concepts of artificial intelligence.
2
Understands artificial intelligence techniques and technology.
3
Examines the use of artificial intelligence in health, knows artificial intelligence applications related to her field and follows the developments.
4
Knows Ethical Constraints.
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
PO 11
PO 12
PO 13
PO 14
LO 001
5
LO 002
5
LO 003
5
LO 004
5
Sub Total
5
5
5
5
Contribution
1
0
1
0
0
1
0
0
1
0
0
0
0
0
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
2
28
Mid-terms
1
8
8
Final examination
1
16
16
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
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes