Psychology 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:

Fall

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) Have the theoretical knowledge in major sub areas of psychology.
2) Apply psychological consepts and theories in a variety of applied settings
3) Identify and explain the cognitive, emotional and behavioral processes of human.
4) Evaluate evidence and assumptions in a scientific and critical view.
5) Collect and analyze the research data and report the findings in accordance to ethical publication rules.
6) Develop and utilize measurement tools for psychological phenomena.
7) Have the skills and abilities to follow advances in psyhology and other related sciences.
8) Have the skills and abilities to work effectively on individual and group based.
9) Have the skills and abilities to communicate in a clear and effective manner in national and international settings.
10) Behave in accordance to the professional code of ethics applied to psychology.
11) Be unprejudiced and equal to various identity groups based on such as age, gender, language, race, religion and social class in scientific and professional acitivities.
12) Have enhanced awareness of universal values as well as human and animal rights.
13) Master a foreign language at least B1 level of European Language Portfolio.
14) Master the computer softwares within information and communication technologies at least European computer driving licence.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the theoretical knowledge in major sub areas of psychology.
2)	Apply psychological consepts and theories in a variety of applied settings
3)	Identify and explain the cognitive, emotional and behavioral processes of human.
4)	Evaluate evidence and assumptions in a scientific and critical view.
5)	Collect and analyze the research data and report the findings in accordance to ethical publication rules.
6)	Develop and utilize measurement tools for psychological phenomena.
7)	Have the skills and abilities to follow advances in psyhology and other related sciences.
8)	Have the skills and abilities to work effectively on individual and group based.
9)	Have the skills and abilities to communicate in a clear and effective manner in national and international settings.
10)	Behave in accordance to the professional code of ethics applied to psychology.
11)	Be unprejudiced and equal to various identity groups based on such as age, gender, language, race, religion and social class in scientific and professional acitivities.
12)	Have enhanced awareness of universal values as well as human and animal rights.
13)	Master a foreign language at least B1 level of European Language Portfolio.
14)	Master the computer softwares within information and communication technologies at least European computer driving licence.

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