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

Course Introduction and Application Information

Course Code:

UNI050

Course Name:

Introduction to Artificial Intelligence

Semester:

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:

Doç. Dr. ŞEBNEM ÖZDEMİR

Course Lecturer(s):

Dr. Öğr. Üyesi Şebnem Özdemir

Course Assistants:

Course Objective and Content

Course Objectives:	Understanding the development, context and methods of artificial intelligence via different examples in different fields
Course Content:	The goal of this course for each student is: To learn the concept of artificial intelligence, used methods and related application issues with different field examples.

Learning Outcomes

The students who have succeeded in this course;
1) Knows the concept of artificial intelligence
2) Explains the methods with their similarities and dissimilarities
3) Explains the social effect of AI and policy of the countries
4) Defines the issues in artificial intelligence such as explainability and bias
5) Define a real life problem and designs a theoretical solution for it by using AI

Course Flow Plan

Week	Subject	Related Preparation
1)	Historical Evolution of Artificial Intelligence (AI)
2)	Concepts and Methods in AI: A Simple Artificial Neural Network Design, Artificial Narrow Intelligence, Artificial Super Intelligence, Artificial General Intelligence
3)	Concepts and Methods in AI: Machine Learning, Deep Learning
4)	Concepts and Methods in AI: Machine Learning, Deep Learning
5)	Concepts and Methods in AI: NLP, Machine Translation
6)	Concepts and Methods in AI: Computer Vision
7)	Concepts and Methods in AI: Expert Systems, Robotic, Optimization
8)	MID-TERM EXAMS
9)	Issues and Critic Concepts in AI: Bias
10)	Issues and Critic Concepts in AI: Explainablity, Fairness, Accountability
11)	Different Fields Applications of AI
12)	Different Fields Applications of AI
13)	AI for More Accessible World: Supporting the Disadvantageous Group with AI
14)	Future AI Strategies, Plans and Regulations of the Countries

Sources

Course Notes / Textbooks:	Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources.
References:	Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Using the concepts and theories that constitute the basis of care, they know and plan appropriate initiatives in health protection and development.
2) Uses the basic scientific knowledge about health, social and behavioral sciences in midwifery practices through information and communication technologies.
3) In the period between the formation of the pregnancy and the birth, it can give the qualified care which is in need of normal / risk pregnant and his / her family.
4) They can meet the care needs of the pregnant woman and her family during labor and can carry out qualified care and appropriate procedures specific to normal birth stages.
5) Can meet the care needs of normal / risky woman, newborn and family at the postpartum period and make appropriate attempts.
6) To be able to define common gynecological problems in women and to plan and implement necessary care and interventions and to do health education on this subject.
7) It can provide health education and counseling services for women's reproductive health, women of all walks of life and all ages.
8) Performs midwifery practices in line with evidence-based care principles.
9) It establishes positive communication / cooperation with the team in health related practices and can work as an effective team member.
10) It acts in accordance with the ethical principles and values of midwifery profession.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Using the concepts and theories that constitute the basis of care, they know and plan appropriate initiatives in health protection and development.	3
2)	Uses the basic scientific knowledge about health, social and behavioral sciences in midwifery practices through information and communication technologies.	3
3)	In the period between the formation of the pregnancy and the birth, it can give the qualified care which is in need of normal / risk pregnant and his / her family.	3
4)	They can meet the care needs of the pregnant woman and her family during labor and can carry out qualified care and appropriate procedures specific to normal birth stages.	3
5)	Can meet the care needs of normal / risky woman, newborn and family at the postpartum period and make appropriate attempts.	3
6)	To be able to define common gynecological problems in women and to plan and implement necessary care and interventions and to do health education on this subject.	3
7)	It can provide health education and counseling services for women's reproductive health, women of all walks of life and all ages.	3
8)	Performs midwifery practices in line with evidence-based care principles.	3
9)	It establishes positive communication / cooperation with the team in health related practices and can work as an effective team member.	2
10)	It acts in accordance with the ethical principles and values of midwifery profession.	2

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 30
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
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	14	2	2		56
Study Hours Out of Class	14	2			28
Project	1	10	1		11
Midterms	1	10	1		11
Final	1	20	1		21
Total Workload					127