Turkish Language and Literature 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
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) Knows grammatical features of Turkish language.
2) Have knowledge of examining the properties of Turkish within the framework of universal linguistics rules.
3) Establishes the relationship between language and literature, active writing and interpretation activities.
4) Uses computer software, and information and communication technologies at least at the European Computer Driving License Basic Level.
5) Uses Turkish in terms of intonation and emphasis aesthetically; writes accurate, comprehensible, effective articles in terms of spelling and punctuation.
6) Knows and uses the current information and resources in the field.
7) Understands the historical and modern Turkish texts written with different alphabets, transmits them to modern Turkish.
8) Uses the knowledge and skills acquired in the field of Turkish language and literature in other fields of social sciences.
9) Have knowledge of analyzing and evaluating literary works belonging to classical and modern periods with comparative methods.
10) Examine and evaluate the Turkish works in the social and cultural context.
11) Uses a foreign language at B1 General Level at least in terms of European Language Portfolio criteria.
12) Makes interpretation, commentary, interpretation, analysis and analysis by using traditional methods used in understanding, explaining and interpreting the old Turkish literature texts.
13) Uses philological, etymological and semantic approaches to understanding texts.
14) Respects social, cultural and individual differences, universal values and human rights in scientific and professional activities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Knows grammatical features of Turkish language.
2)	Have knowledge of examining the properties of Turkish within the framework of universal linguistics rules.
3)	Establishes the relationship between language and literature, active writing and interpretation activities.
4)	Uses computer software, and information and communication technologies at least at the European Computer Driving License Basic Level.
5)	Uses Turkish in terms of intonation and emphasis aesthetically; writes accurate, comprehensible, effective articles in terms of spelling and punctuation.
6)	Knows and uses the current information and resources in the field.
7)	Understands the historical and modern Turkish texts written with different alphabets, transmits them to modern Turkish.
8)	Uses the knowledge and skills acquired in the field of Turkish language and literature in other fields of social sciences.
9)	Have knowledge of analyzing and evaluating literary works belonging to classical and modern periods with comparative methods.
10)	Examine and evaluate the Turkish works in the social and cultural context.
11)	Uses a foreign language at B1 General Level at least in terms of European Language Portfolio criteria.
12)	Makes interpretation, commentary, interpretation, analysis and analysis by using traditional methods used in understanding, explaining and interpreting the old Turkish literature texts.
13)	Uses philological, etymological and semantic approaches to understanding texts.
14)	Respects social, cultural and individual differences, universal values and human rights in scientific and professional activities.

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