Psychology (Master) (with Thesis) Preview
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code:

PIY5049

Course Name:

Artificial Intelligence and Virtual Reality Applications

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. EZGİ ILDIRIM

Course Lecturer(s):

Asst. Prof. Ezgi Ildırım

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to study the future crime in siber psychology field.
Course Content:	Within this course, artificial intelligence, virtual reality, and their contexual definitions and applications will be evaluated in the scope of the science of psychology.

Learning Outcomes

The students who have succeeded in this course;
1) Understanding people's cognitive processes such as perception and learning with artificial intelligence technology
2) Learning the use of artificial intelligence and virtual reality applications as a therapy approach
3) Students are able to discuss artificial intelligence algorithms such as Turing Machine by connecting consciousness
4) Students are able to read and discuss research using artificial intelligence and virtual reality

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction	-
2)	What is Artificial Intelligence?	-
3)	Turing Machine	-
4)	Human Consciousness and Artificial Intelligence	-
5)	Artificial Intelligence (Chinese Room)
6)	Artificial Intelligence and Learning
7)	Virtual Reality Applications	-
8)	Vize Exam
9)	Virtual Reality as a Psychotherapy Approach	-
10)	VR Lab
11)	Human and Artificial Intelligence Interaction
12)	Virtual Reality (VR) Studies
13)	Artificial Intelligence and Robots in Future	-
14)	Disscussion and Conclusions	-

Sources

Course Notes / Textbooks:	Ecology, Artificial Intelligence, and Virtual Reality: Life in the Digital Dark Ages (Environment and Society), Sing C Chew, Lexington, 2021.
References:	Ecology, Artificial Intelligence, and Virtual Reality: Life in the Digital Dark Ages (Environment and Society), Sing C Chew, Lexington, 2021. Virtual Reality, Augmented Reality and Artificial Intelligence in Special Education, Ange Anderson, Routledge, 2019.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) They have specialized knowledge about the science of psychology.	2			2
2) Students have knowledge of application processes in the field of psychology			3
3) They can follow current issues and research in the field of psychology.	3	1
4) Students can comprehend theories and studies in the psychology field.		3		2
5) Students can be part of studies in applied psychology area.
6) Students will recognize, understand, and respect the complexity of sociocultural and international diversity
7) Students will demonstrate information competence and the ability to use computers and other technology for many purposes
8) Students will be able to tolerate ambiguity, act ethically, and reflect other values that are the underpinnings of psychology as a discipline	2	2
9) Students apply evidence based scientific studies.			3
10) Students will understand and apply psychological principles to personal, social and organizational issues.		3
11) Students actively engage in team work and collaborate with others and can show leadership skills.	1			3
12) Students can critically evaluate the knowledge and skills acquired in the field of psychology and direct their learning			1
13) Students can systematically transfer current developments in the field of psychology and their own studies to groups in and out of the field, in written, verbal and visual formats, by supporting them with quantitative and qualitative data.	3			2
14) Students are able to interpret and create new information by integrating the knowledge gained in the field of psychology with the knowledge from different disciplines.	2	3

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	They have specialized knowledge about the science of psychology.
2)	Students have knowledge of application processes in the field of psychology
3)	They can follow current issues and research in the field of psychology.
4)	Students can comprehend theories and studies in the psychology field.
5)	Students can be part of studies in applied psychology area.
6)	Students will recognize, understand, and respect the complexity of sociocultural and international diversity
7)	Students will demonstrate information competence and the ability to use computers and other technology for many purposes
8)	Students will be able to tolerate ambiguity, act ethically, and reflect other values that are the underpinnings of psychology as a discipline
9)	Students apply evidence based scientific studies.
10)	Students will understand and apply psychological principles to personal, social and organizational issues.
11)	Students actively engage in team work and collaborate with others and can show leadership skills.
12)	Students can critically evaluate the knowledge and skills acquired in the field of psychology and direct their learning
13)	Students can systematically transfer current developments in the field of psychology and their own studies to groups in and out of the field, in written, verbal and visual formats, by supporting them with quantitative and qualitative data.
14)	Students are able to interpret and create new information by integrating the knowledge gained in the field of psychology with the knowledge from different disciplines.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	13	65
Midterms	1	36
Final	1	50
Total Workload		151